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Scruff AI
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"""_analyze_continuous.py — analyze inject_continuous_stream 4-arm output.
For each arm A/B/C (read from parquet):
- merge with source data to get forward returns at h=60, h=240
- fit linear regression: |fwd_return(h)| ~ field_state_features
- report R² (out-of-sample, time-series-aware k-fold)
For arm D (raw data baseline, computed inline here):
- fit linear regression: |fwd_return(h)| ~ raw z-scores of 3 variables
- report R²
Conclusion logic:
If R²(B or C) > R²(D) + meaningful margin → lattice adds information.
If R²(B or C) <= R²(D) → lattice is a noisy filter, use raw data directly.
Usage:
python3 _analyze_continuous.py latest
python3 _analyze_continuous.py <RUN_ID>
"""
from __future__ import annotations
import glob, json, sys
from pathlib import Path
import numpy as np
import pandas as pd
from sklearn.linear_model import Ridge
from sklearn.model_selection import TimeSeriesSplit
from sklearn.metrics import r2_score
ROOT = Path("/mnt/d/Resonance_Engine/traj")
DATA_ROOT = "/mnt/d/PaperTrader/research/hl_data/minutes"
FIELD_FEATURES = [
"asymmetry", "coherence",
"stress_xx", "stress_yy", "stress_xy",
"vorticity_mean", "vel_mean", "vel_max", "vel_var",
]
VARIABLES = ["signed_flow_usd", "vwap_drift", "wallet_entropy"]
HORIZONS = [60, 240]
def find_run(arg: str) -> Path:
if arg == "latest":
runs = sorted([p for p in ROOT.glob("contstream_*") if p.is_dir()])
if not runs:
sys.exit("no contstream_* runs in " + str(ROOT))
return runs[-1]
p = ROOT / (arg if arg.startswith("contstream_") else f"contstream_{arg}")
if not p.exists():
sys.exit(f"missing: {p}")
return p
def load_btc_data(meta: dict) -> pd.DataFrame:
day_dirs = sorted(glob.glob(f"{DATA_ROOT}/{meta['days_glob']}"))
dfs = []
for d in day_dirs:
for f in sorted(glob.glob(f"{d}/*.parquet")):
dfs.append(pd.read_parquet(f))
df = pd.concat(dfs, ignore_index=True)
df = df[df.coin == meta["coin"]].sort_values("minute").reset_index(drop=True)
df = df.drop_duplicates(subset=["minute"]).reset_index(drop=True)
return df
def add_forward_returns(df: pd.DataFrame, horizons: list[int]) -> pd.DataFrame:
df = df.copy()
mid = df["mid_price"].values
for h in horizons:
fwd = np.full_like(mid, np.nan, dtype=float)
fwd[: -h] = (mid[h:] - mid[:-h]) / mid[:-h]
df[f"fwd_ret_{h}"] = fwd
df[f"abs_fwd_ret_{h}"] = np.abs(fwd)
return df
def compute_one_sided_zscores(df: pd.DataFrame, vars_: list[str], win: int) -> pd.DataFrame:
out = pd.DataFrame({"minute": df["minute"].values})
for v in vars_:
s = df[v].astype(float)
roll = s.shift(1).rolling(window=win, min_periods=50)
z = (s - roll.mean()) / roll.std().replace(0, np.nan)
out[f"z_{v}"] = z.values
return out
def cv_r2(X: np.ndarray, y: np.ndarray, n_splits: int = 5) -> dict:
"""Time-series-aware k-fold R² with Ridge regression."""
mask = np.all(np.isfinite(X), axis=1) & np.isfinite(y)
X = X[mask]
y = y[mask]
if len(y) < 500:
return {"r2_mean": float("nan"), "r2_std": float("nan"), "n": len(y)}
tscv = TimeSeriesSplit(n_splits=n_splits)
scores = []
for tr, te in tscv.split(X):
model = Ridge(alpha=1.0)
model.fit(X[tr], y[tr])
scores.append(r2_score(y[te], model.predict(X[te])))
return {
"r2_mean": float(np.mean(scores)),
"r2_std": float(np.std(scores)),
"r2_folds": [float(s) for s in scores],
"n": int(len(y)),
}
def main():
arg = sys.argv[1] if len(sys.argv) > 1 else "latest"
run = find_run(arg)
print(f"=== analyzing {run.name} ===\n")
meta = json.loads((run / "meta.json").read_text())
print(f"run_id={meta['run_id']} start={meta.get('wall_iso_start')}")
print(f"coin={meta['coin']} days={meta['days_glob']} n_minutes={meta['n_minutes']}")
print(f"vars={meta['variables']} roll_win={meta['roll_win']} str_cap={meta['str_cap']}\n")
# load source data + add forward returns + z-scores
src = load_btc_data(meta)
src = add_forward_returns(src, HORIZONS)
z = compute_one_sided_zscores(src, VARIABLES, meta["roll_win"])
src = src.merge(z, on="minute", how="left")
print(f"source data: {len(src)} minutes, fwd returns at h={HORIZONS} added\n")
# ───── ARM D: raw-data baseline (offline) ─────
print("=== ARM D: RAW DATA BASELINE (no lattice) ===")
Xd = src[[f"z_{v}" for v in VARIABLES]].values
arm_d_results = {}
for h in HORIZONS:
y = src[f"abs_fwd_ret_{h}"].values
res = cv_r2(Xd, y)
arm_d_results[h] = res
print(f" h={h}min R²(|fwd_ret|)= {res['r2_mean']:+.5f} +/- {res['r2_std']:.5f} "
f"folds={[f'{x:+.4f}' for x in res.get('r2_folds',[])]} n={res['n']}")
print()
# ───── ARMS A/B/C ─────
arm_files = {
"A": run / "arm_A_no_inject.parquet",
"B": run / "arm_B_stacked.parquet",
"C": run / "arm_C_separated.parquet",
}
arm_results = {arm: {} for arm in arm_files}
for arm, fpath in arm_files.items():
if not fpath.exists():
print(f"=== ARM {arm}: skipped (no file {fpath.name}) ===\n")
continue
df_arm = pd.read_parquet(fpath)
# merge with source on minute (to attach forward returns)
m = df_arm.merge(src[["minute"] + [f"abs_fwd_ret_{h}" for h in HORIZONS]],
on="minute", how="left")
print(f"=== ARM {arm}: {fpath.name} rows={len(m)} ===")
# describe field
for ch in ["asymmetry", "coherence", "stress_xy"]:
v = m[ch].dropna()
if len(v):
print(f" {ch}: mean={v.mean():+.4f} std={v.std():.4f} "
f"min={v.min():+.4f} max={v.max():+.4f}")
# build feature matrix from field channels
X = m[FIELD_FEATURES].values
for h in HORIZONS:
y = m[f"abs_fwd_ret_{h}"].values
res = cv_r2(X, y)
arm_results[arm][h] = res
print(f" h={h}min R²(|fwd_ret|)= {res['r2_mean']:+.5f} +/- {res['r2_std']:.5f} "
f"folds={[f'{x:+.4f}' for x in res.get('r2_folds',[])]} n={res['n']}")
# also: field + raw z (combined)
m2 = m.merge(z, on="minute", how="left")
Xc = m2[FIELD_FEATURES + [f"z_{v}" for v in VARIABLES]].values
for h in HORIZONS:
y = m2[f"abs_fwd_ret_{h}"].values
res = cv_r2(Xc, y)
arm_results[arm][f"{h}_combined"] = res
print(f" h={h}min COMBINED(field+rawZ) R²= {res['r2_mean']:+.5f} n={res['n']}")
print()
# ───── verdict ─────
print("=" * 70)
print("VERDICT")
print("=" * 70)
print(f"{'metric':<35}{'h=60':>14}{'h=240':>14}")
print("-" * 70)
print(f"{'arm D (raw data only)':<35}"
f"{arm_d_results.get(60,{}).get('r2_mean',float('nan')):>+14.5f}"
f"{arm_d_results.get(240,{}).get('r2_mean',float('nan')):>+14.5f}")
for arm in ["A", "B", "C"]:
if arm not in arm_results or not arm_results[arm]:
continue
print(f"{'arm '+arm+' (field only)':<35}"
f"{arm_results[arm].get(60,{}).get('r2_mean',float('nan')):>+14.5f}"
f"{arm_results[arm].get(240,{}).get('r2_mean',float('nan')):>+14.5f}")
print(f"{'arm '+arm+' (field + rawZ combined)':<35}"
f"{arm_results[arm].get('60_combined',{}).get('r2_mean',float('nan')):>+14.5f}"
f"{arm_results[arm].get('240_combined',{}).get('r2_mean',float('nan')):>+14.5f}")
print()
# decision
print("Interpretation:")
d60 = arm_d_results.get(60, {}).get("r2_mean", float("nan"))
for arm in ["B", "C"]:
if arm not in arm_results or not arm_results[arm]:
continue
r60 = arm_results[arm].get(60, {}).get("r2_mean", float("nan"))
rc60 = arm_results[arm].get("60_combined", {}).get("r2_mean", float("nan"))
if np.isfinite(r60) and np.isfinite(d60):
delta_pure = r60 - d60
delta_comb = (rc60 - d60) if np.isfinite(rc60) else float("nan")
v_pure = "lattice ADDS info" if delta_pure > 0.005 else \
"lattice DOES NOT add info beyond raw data"
print(f" arm {arm} h=60: field-only ΔR² vs raw={delta_pure:+.5f}{v_pure}")
if np.isfinite(delta_comb):
v_comb = "combination beats raw" if delta_comb > 0.005 else \
"combination no better than raw"
print(f" arm {arm} h=60: combined ΔR² vs raw={delta_comb:+.5f}{v_comb}")
print("\n=== DONE ===")
if __name__ == "__main__":
main()
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"""_throughput_probe.py — pre-flight test for inject_continuous_stream.
Verifies the lattice daemon can handle 10 injects/sec without packet loss
or telemetry starvation. Throwaway script, safe to delete after running."""
import zmq, json, time, threading
from collections import deque
TEL = "tcp://127.0.0.1:5556"
CMD = "tcp://127.0.0.1:5557"
ctx = zmq.Context.instance()
sub = ctx.socket(zmq.SUB); sub.connect(TEL); sub.setsockopt(zmq.SUBSCRIBE, b"")
sub.setsockopt(zmq.RCVHWM, 20000)
buf = deque(maxlen=20000)
stop = False
def reader():
while not stop:
if sub.poll(100):
try:
buf.append((time.time(), json.loads(sub.recv_string())))
except Exception:
pass
t = threading.Thread(target=reader, daemon=True); t.start()
pub = ctx.socket(zmq.PUB); pub.connect(CMD)
time.sleep(0.8)
# baseline
t0 = time.time()
time.sleep(3.0)
baseline = [x for x in list(buf) if x[0] >= t0]
print(f"baseline: {len(baseline)} msgs in 3s = {len(baseline)/3:.1f} msg/s")
buf.clear()
# burst test: 100 injects at 100ms = 10/s for 10s
N, SPACING = 100, 0.1
t_burst_start = time.time()
for i in range(N):
payload = {"cmd": "inject_density", "x": 512.0, "y": 512.0,
"sigma": 32.0, "strength": 0.05}
pub.send_string(json.dumps(payload))
next_t = t_burst_start + (i + 1) * SPACING
dt = next_t - time.time()
if dt > 0:
time.sleep(dt)
t_burst_end = time.time()
time.sleep(2.0)
stop = True
t.join(timeout=1)
recv = [x for x in list(buf) if x[0] >= t_burst_start]
elapsed = t_burst_end - t_burst_start
print(f"burst: sent {N} in {elapsed:.3f}s (target 10.0s) send_rate={N/elapsed:.2f}/s")
if recv:
span = recv[-1][0] - recv[0][0]
rate = len(recv) / span if span > 0 else 0
asyms = [m["asymmetry"] for _, m in recv]
print(f"telemetry during+after burst: {len(recv)} msgs over {span:.2f}s = {rate:.1f} msg/s")
print(f"asym range: {min(asyms):.3f} .. {max(asyms):.3f} mean={sum(asyms)/len(asyms):.3f}")
print(f" (baseline asym was ~42, large change here = injections landed)")
else:
print("WARN: no telemetry after burst")
# higher-stress test: 50 injects at 50ms = 20/s for 2.5s
print("")
print("=== STRESS: 20 injects/sec ===")
buf.clear()
t_burst_start = time.time()
stop = False
t = threading.Thread(target=reader, daemon=True); t.start()
N2, SP2 = 50, 0.05
for i in range(N2):
payload = {"cmd": "inject_density", "x": 512.0, "y": 512.0,
"sigma": 32.0, "strength": 0.05}
pub.send_string(json.dumps(payload))
next_t = t_burst_start + (i + 1) * SP2
dt = next_t - time.time()
if dt > 0:
time.sleep(dt)
t_burst_end = time.time()
time.sleep(2.0)
stop = True
t.join(timeout=1)
recv = [x for x in list(buf) if x[0] >= t_burst_start]
elapsed = t_burst_end - t_burst_start
print(f"sent {N2} in {elapsed:.3f}s = {N2/elapsed:.2f}/s")
if recv:
span = recv[-1][0] - recv[0][0]
rate = len(recv) / span if span > 0 else 0
asyms = [m["asymmetry"] for _, m in recv]
print(f"telemetry: {len(recv)} msgs over {span:.2f}s = {rate:.1f} msg/s")
print(f"asym range: {min(asyms):.3f} .. {max(asyms):.3f}")
print("")
print("DONE")
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{"ts": "2026-06-06T22:31:14Z", "turn": 686, "cycle": 3503500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3503500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.1W util=27%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657200 0.657482 +0.000300 0.002900\nasymmetry 50.286000 50.190333 -0.054200 0.653800\nvel_mean 0.222829 0.221106 +0.001395 0.004092\nvel_max 0.286079 0.285249 -0.000421 0.007297\nvel_var 0.002371 0.002451 -0.000041 0.000344\nvorticity_mean 0.024020 0.027857 -0.005449 0.011032\nstress_xx -0.000594 -0.000611 +0.000028 0.000182\nstress_yy 0.000567 0.000591 -0.000028 0.000116\nstress_xy -0.000201 -0.000202 +0.000038 0.000100\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3473500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3478500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3483500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3488500] idle, baseline\n\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."} {"ts": "2026-06-06T22:31:14Z", "turn": 686, "cycle": 3503500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3503500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.1W util=27%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657200 0.657482 +0.000300 0.002900\nasymmetry 50.286000 50.190333 -0.054200 0.653800\nvel_mean 0.222829 0.221106 +0.001395 0.004092\nvel_max 0.286079 0.285249 -0.000421 0.007297\nvel_var 0.002371 0.002451 -0.000041 0.000344\nvorticity_mean 0.024020 0.027857 -0.005449 0.011032\nstress_xx -0.000594 -0.000611 +0.000028 0.000182\nstress_yy 0.000567 0.000591 -0.000028 0.000116\nstress_xy -0.000201 -0.000202 +0.000038 0.000100\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3473500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3478500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3483500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3488500] idle, baseline\n\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."}
{"ts": "2026-06-06T22:32:27Z", "turn": 687, "cycle": 3508500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3508500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.0W util=29%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658200 0.657482 +0.000900 0.002700\nasymmetry 50.032600 50.204630 -0.181900 0.623800\nvel_mean 0.222424 0.221103 -0.000710 0.004146\nvel_max 0.283505 0.285138 -0.001631 0.007480\nvel_var 0.002366 0.002451 +0.000031 0.000335\nvorticity_mean 0.023127 0.027886 +0.000080 0.011031\nstress_xx -0.000622 -0.000605 -0.000057 0.000161\nstress_yy 0.000578 0.000585 -0.000027 0.000134\nstress_xy -0.000194 -0.000207 +0.000021 0.000135\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3478500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3483500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3488500] idle, baseline\n\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."} {"ts": "2026-06-06T22:32:27Z", "turn": 687, "cycle": 3508500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3508500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.0W util=29%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658200 0.657482 +0.000900 0.002700\nasymmetry 50.032600 50.204630 -0.181900 0.623800\nvel_mean 0.222424 0.221103 -0.000710 0.004146\nvel_max 0.283505 0.285138 -0.001631 0.007480\nvel_var 0.002366 0.002451 +0.000031 0.000335\nvorticity_mean 0.023127 0.027886 +0.000080 0.011031\nstress_xx -0.000622 -0.000605 -0.000057 0.000161\nstress_yy 0.000578 0.000585 -0.000027 0.000134\nstress_xy -0.000194 -0.000207 +0.000021 0.000135\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3478500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3483500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3488500] idle, baseline\n\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."}
{"ts": "2026-06-06T22:33:38Z", "turn": 688, "cycle": 3513500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3513500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.8W util=36%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658600 0.657468 +0.000400 0.002800\nasymmetry 49.959800 50.222456 -0.082900 0.650100\nvel_mean 0.219967 0.221111 -0.001350 0.004143\nvel_max 0.283260 0.285240 -0.000824 0.006539\nvel_var 0.002553 0.002450 +0.000092 0.000353\nvorticity_mean 0.029090 0.027867 +0.004819 0.011078\nstress_xx -0.000572 -0.000612 +0.000028 0.000177\nstress_yy 0.000594 0.000577 +0.000029 0.000123\nstress_xy -0.000181 -0.000216 +0.000010 0.000109\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3483500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3488500] idle, baseline\n\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3508500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."} {"ts": "2026-06-06T22:33:38Z", "turn": 688, "cycle": 3513500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3513500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.8W util=36%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658600 0.657468 +0.000400 0.002800\nasymmetry 49.959800 50.222456 -0.082900 0.650100\nvel_mean 0.219967 0.221111 -0.001350 0.004143\nvel_max 0.283260 0.285240 -0.000824 0.006539\nvel_var 0.002553 0.002450 +0.000092 0.000353\nvorticity_mean 0.029090 0.027867 +0.004819 0.011078\nstress_xx -0.000572 -0.000612 +0.000028 0.000177\nstress_yy 0.000594 0.000577 +0.000029 0.000123\nstress_xy -0.000181 -0.000216 +0.000010 0.000109\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3483500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3488500] idle, baseline\n\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3508500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."}
{"ts": "2026-06-06T22:34:51Z", "turn": 689, "cycle": 3518500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3518500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.8W util=34%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656700 0.657421 -0.001200 0.002800\nasymmetry 50.421100 50.247113 +0.306800 0.628800\nvel_mean 0.219595 0.221119 -0.000017 0.004106\nvel_max 0.287873 0.285207 +0.003688 0.005930\nvel_var 0.002516 0.002450 -0.000032 0.000345\nvorticity_mean 0.033174 0.027829 +0.002764 0.011062\nstress_xx -0.000680 -0.000615 -0.000162 0.000188\nstress_yy 0.000600 0.000587 +0.000069 0.000144\nstress_xy -0.000229 -0.000208 -0.000045 0.000121\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3488500] idle, baseline\n\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3508500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3513500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3518500."}
{"ts": "2026-06-06T22:36:08Z", "turn": 690, "cycle": 3523500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3523500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.6W util=30%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656800 0.657436 +0.000000 0.002800\nasymmetry 50.442300 50.256966 +0.034400 0.639100\nvel_mean 0.221596 0.221108 +0.001988 0.004140\nvel_max 0.288674 0.285176 +0.002533 0.007628\nvel_var 0.002400 0.002451 -0.000133 0.000330\nvorticity_mean 0.029185 0.027840 -0.003774 0.011091\nstress_xx -0.000614 -0.000607 +0.000058 0.000161\nstress_yy 0.000578 0.000593 +0.000036 0.000107\nstress_xy -0.000224 -0.000203 -0.000005 0.000120\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3493500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3508500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3513500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3518500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3518500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."}
{"ts": "2026-06-06T22:37:21Z", "turn": 691, "cycle": 3528500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3528500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.4W util=34%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657300 0.657417 +0.000100 0.002700\nasymmetry 50.291600 50.276774 -0.017300 0.622700\nvel_mean 0.223130 0.221096 +0.001054 0.004108\nvel_max 0.284548 0.285198 -0.000922 0.007445\nvel_var 0.002324 0.002451 -0.000062 0.000355\nvorticity_mean 0.022925 0.027878 -0.004699 0.011048\nstress_xx -0.000625 -0.000608 -0.000027 0.000185\nstress_yy 0.000621 0.000582 +0.000022 0.000119\nstress_xy -0.000216 -0.000212 -0.000042 0.000114\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3498500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3508500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3513500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3518500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3518500.\n\n[cycle 3523500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3523500."}
{"ts": "2026-06-06T22:38:32Z", "turn": 692, "cycle": 3533500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3533500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.2W util=29%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658100 0.657365 +0.001100 0.002700\nasymmetry 50.117600 50.302662 -0.238100 0.637800\nvel_mean 0.221244 0.221101 -0.001619 0.004074\nvel_max 0.284091 0.285213 -0.000567 0.006399\nvel_var 0.002470 0.002451 +0.000155 0.000345\nvorticity_mean 0.024484 0.027884 +0.001681 0.010992\nstress_xx -0.000590 -0.000615 -0.000029 0.000160\nstress_yy 0.000644 0.000579 +0.000063 0.000135\nstress_xy -0.000238 -0.000215 -0.000054 0.000106\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3503500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3508500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3513500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3518500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3518500.\n\n[cycle 3523500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3528500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3523500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles."}
{"ts": "2026-06-06T22:39:48Z", "turn": 693, "cycle": 3538500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3538500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.0W util=29%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657700 0.657356 -0.000500 0.002700\nasymmetry 50.222700 50.316052 +0.101300 0.628600\nvel_mean 0.219540 0.221106 -0.001223 0.004130\nvel_max 0.284156 0.285244 +0.000915 0.006951\nvel_var 0.002552 0.002451 +0.000023 0.000335\nvorticity_mean 0.030613 0.027861 +0.005024 0.011078\nstress_xx -0.000687 -0.000612 -0.000086 0.000179\nstress_yy 0.000616 0.000591 +0.000041 0.000120\nstress_xy -0.000237 -0.000207 -0.000009 0.000113\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3508500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3513500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3518500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3518500.\n\n[cycle 3523500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3528500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3523500.\n\n[cycle 3533500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500."}
{"ts": "2026-06-06T22:41:01Z", "turn": 694, "cycle": 3543500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3543500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.3W util=35%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656800 0.657370 -0.000600 0.002800\nasymmetry 50.479900 50.329423 +0.170800 0.648500\nvel_mean 0.219632 0.221110 +0.000219 0.004132\nvel_max 0.287552 0.285161 +0.001456 0.007454\nvel_var 0.002538 0.002450 -0.000022 0.000349\nvorticity_mean 0.032929 0.027836 +0.001033 0.011086\nstress_xx -0.000591 -0.000609 +0.000049 0.000162\nstress_yy 0.000611 0.000591 +0.000050 0.000101\nstress_xy -0.000215 -0.000206 -0.000038 0.000100\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3513500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3518500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3518500.\n\n[cycle 3523500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3528500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3523500.\n\n[cycle 3533500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3538500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500."}
{"ts": "2026-06-06T22:42:14Z", "turn": 695, "cycle": 3548500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3548500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.3W util=27%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656900 0.657324 -0.000300 0.002800\nasymmetry 50.411200 50.356099 +0.025400 0.624700\nvel_mean 0.222208 0.221104 +0.001999 0.004110\nvel_max 0.285176 0.285264 -0.001646 0.007833\nvel_var 0.002372 0.002451 -0.000116 0.000346\nvorticity_mean 0.027261 0.027846 -0.005062 0.010946\nstress_xx -0.000610 -0.000609 +0.000014 0.000190\nstress_yy 0.000578 0.000579 -0.000027 0.000125\nstress_xy -0.000243 -0.000213 -0.000082 0.000115\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3518500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3518500.\n\n[cycle 3523500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3528500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3523500.\n\n[cycle 3533500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3538500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3543500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3548500."}
{"ts": "2026-06-06T22:43:27Z", "turn": 696, "cycle": 3553500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3553500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.7W util=27%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657100 0.657311 +0.000700 0.002700\nasymmetry 50.421000 50.368838 -0.130700 0.616400\nvel_mean 0.222698 0.221090 -0.000216 0.004150\nvel_max 0.283911 0.285170 -0.001831 0.005917\nvel_var 0.002320 0.002452 +0.000054 0.000341\nvorticity_mean 0.022789 0.027888 -0.002992 0.011089\nstress_xx -0.000609 -0.000614 +0.000003 0.000145\nstress_yy 0.000631 0.000581 +0.000025 0.000138\nstress_xy -0.000211 -0.000213 +0.000016 0.000107\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3523500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3528500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3523500.\n\n[cycle 3533500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3538500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3543500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3548500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3548500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3553500."}
{"ts": "2026-06-06T22:44:40Z", "turn": 697, "cycle": 3558500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3558500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.5W util=24%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658200 0.657238 +0.001000 0.002700\nasymmetry 50.206000 50.403197 -0.193300 0.657000\nvel_mean 0.220647 0.221103 -0.001404 0.004137\nvel_max 0.283269 0.285246 +0.000396 0.007161\nvel_var 0.002543 0.002451 +0.000115 0.000345\nvorticity_mean 0.025797 0.027878 +0.003051 0.011061\nstress_xx -0.000546 -0.000611 +0.000071 0.000173\nstress_yy 0.000594 0.000595 -0.000030 0.000123\nstress_xy -0.000178 -0.000208 +0.000046 0.000104\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3528500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3523500.\n\n[cycle 3533500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3538500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3543500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3548500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3548500.\n\n[cycle 3553500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3553500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3558500."}
{"ts": "2026-06-06T22:45:53Z", "turn": 698, "cycle": 3563500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3563500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 30.2W util=24%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657300 0.657243 -0.000900 0.002700\nasymmetry 50.386300 50.416268 +0.201400 0.628400\nvel_mean 0.219296 0.221110 -0.001410 0.004081\nvel_max 0.286137 0.285256 +0.000017 0.007323\nvel_var 0.002571 0.002451 +0.000081 0.000341\nvorticity_mean 0.032108 0.027845 +0.004786 0.010997\nstress_xx -0.000619 -0.000609 -0.000044 0.000160\nstress_yy 0.000561 0.000586 -0.000011 0.000123\nstress_xy -0.000249 -0.000208 -0.000036 0.000124\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3533500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles.\n\n[cycle 3538500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3543500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3548500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3548500.\n\n[cycle 3553500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3553500.\n\n[cycle 3558500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3558500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3563500."}
{"ts": "2026-06-06T22:47:09Z", "turn": 699, "cycle": 3568500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3568500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 31.2W util=27%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657200 0.657209 -0.000400 0.002800\nasymmetry 50.451100 50.436672 +0.109400 0.644600\nvel_mean 0.220352 0.221114 +0.001046 0.004149\nvel_max 0.287453 0.285237 +0.000635 0.008287\nvel_var 0.002468 0.002451 -0.000130 0.000344\nvorticity_mean 0.032160 0.027829 -0.000856 0.011072\nstress_xx -0.000636 -0.000610 -0.000021 0.000151\nstress_yy 0.000548 0.000577 -0.000062 0.000131\nstress_xy -0.000238 -0.000212 -0.000028 0.000108\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3538500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3543500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3548500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3548500.\n\n[cycle 3553500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3553500.\n\n[cycle 3558500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3558500.\n\n[cycle 3563500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3563500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3568500."}
{"ts": "2026-06-06T22:48:25Z", "turn": 700, "cycle": 3573500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3573500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 45.4W util=30%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656300 0.657190 -0.000100 0.002800\nasymmetry 50.667000 50.454630 -0.020000 0.653500\nvel_mean 0.223027 0.221102 +0.002049 0.004139\nvel_max 0.285317 0.285291 -0.000410 0.006824\nvel_var 0.002260 0.002451 -0.000147 0.000349\nvorticity_mean 0.025511 0.027858 -0.005469 0.011095\nstress_xx -0.000580 -0.000614 +0.000039 0.000155\nstress_yy 0.000598 0.000586 +0.000023 0.000120\nstress_xy -0.000192 -0.000213 +0.000056 0.000133\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3543500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3538500.\n\n[cycle 3548500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3548500.\n\n[cycle 3553500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3553500.\n\n[cycle 3558500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3558500.\n\n[cycle 3563500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3563500.\n\n[cycle 3568500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3568500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500."}
{"ts": "2026-06-06T22:49:34Z", "turn": 701, "cycle": 3578500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3578500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 42.1W util=29%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657300 0.657192 +0.001000 0.002800\nasymmetry 50.441100 50.469482 -0.224500 0.630000\nvel_mean 0.222021 0.221096 -0.000651 0.004111\nvel_max 0.282910 0.285185 -0.001201 0.006622\nvel_var 0.002438 0.002452 +0.000087 0.000345\nvorticity_mean 0.022791 0.027886 -0.001337 0.011003\nstress_xx -0.000572 -0.000612 +0.000031 0.000157\nstress_yy 0.000589 0.000592 -0.000028 0.000114\nstress_xy -0.000206 -0.000206 -0.000004 0.000099\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3548500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3548500.\n\n[cycle 3553500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3553500.\n\n[cycle 3558500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3558500.\n\n[cycle 3563500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3563500.\n\n[cycle 3568500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3568500.\n\n[cycle 3573500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500."}
{"ts": "2026-06-06T22:50:45Z", "turn": 702, "cycle": 3583500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3583500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.4W util=23%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658100 0.657120 +0.000500 0.002800\nasymmetry 50.287300 50.500618 -0.064800 0.633600\nvel_mean 0.220629 0.221109 -0.001459 0.004098\nvel_max 0.286034 0.285230 +0.002112 0.006976\nvel_var 0.002488 0.002451 +0.000047 0.000337\nvorticity_mean 0.027558 0.027868 +0.004422 0.011049\nstress_xx -0.000631 -0.000607 -0.000072 0.000159\nstress_yy 0.000588 0.000584 -0.000037 0.000118\nstress_xy -0.000216 -0.000208 -0.000017 0.000131\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3553500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3553500.\n\n[cycle 3558500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3558500.\n\n[cycle 3563500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3563500.\n\n[cycle 3568500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3568500.\n\n[cycle 3573500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3578500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3583500."}
{"ts": "2026-06-06T22:51:53Z", "turn": 703, "cycle": 3588500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3588500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.5W util=21%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657500 0.657117 -0.000600 0.002700\nasymmetry 50.403200 50.515920 +0.142700 0.639200\nvel_mean 0.219281 0.221121 -0.000555 0.004147\nvel_max 0.285829 0.285222 +0.001724 0.005842\nvel_var 0.002597 0.002450 +0.000022 0.000353\nvorticity_mean 0.033157 0.027835 +0.004022 0.011089\nstress_xx -0.000636 -0.000610 -0.000004 0.000152\nstress_yy 0.000539 0.000581 -0.000017 0.000133\nstress_xy -0.000200 -0.000215 +0.000025 0.000114\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3558500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3558500.\n\n[cycle 3563500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3563500.\n\n[cycle 3568500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3568500.\n\n[cycle 3573500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3578500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3583500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3583500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3588500."}
{"ts": "2026-06-06T22:53:01Z", "turn": 704, "cycle": 3593500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3593500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.2W util=19%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656100 0.657113 -0.000700 0.002700\nasymmetry 50.808700 50.528941 +0.197100 0.643700\nvel_mean 0.221132 0.221112 +0.001881 0.004089\nvel_max 0.285164 0.285211 -0.001061 0.005795\nvel_var 0.002394 0.002451 -0.000140 0.000341\nvorticity_mean 0.030664 0.027833 -0.002645 0.011013\nstress_xx -0.000632 -0.000615 -0.000009 0.000184\nstress_yy 0.000605 0.000590 +0.000095 0.000129\nstress_xy -0.000188 -0.000212 +0.000053 0.000120\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3563500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3563500.\n\n[cycle 3568500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3568500.\n\n[cycle 3573500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3578500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3583500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3583500.\n\n[cycle 3588500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3588500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500."}
{"ts": "2026-06-06T22:54:07Z", "turn": 705, "cycle": 3598500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3598500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.5W util=24%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656400 0.657087 +0.000600 0.002700\nasymmetry 50.722300 50.550297 -0.146600 0.637800\nvel_mean 0.222657 0.221099 +0.000820 0.004125\nvel_max 0.284622 0.285158 -0.002479 0.007370\nvel_var 0.002359 0.002452 +0.000015 0.000336\nvorticity_mean 0.023926 0.027865 -0.005203 0.011094\nstress_xx -0.000575 -0.000613 +0.000056 0.000167\nstress_yy 0.000567 0.000590 -0.000012 0.000119\nstress_xy -0.000218 -0.000205 -0.000002 0.000125\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3568500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3568500.\n\n[cycle 3573500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3578500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3583500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3583500.\n\n[cycle 3588500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3588500.\n\n[cycle 3593500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500."}
{"ts": "2026-06-06T22:55:19Z", "turn": 706, "cycle": 3603500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3603500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.6W util=21%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657600 0.657064 +0.000600 0.002700\nasymmetry 50.428600 50.570582 -0.132600 0.640400\nvel_mean 0.222023 0.221102 -0.000885 0.004122\nvel_max 0.284878 0.285308 +0.001705 0.007289\nvel_var 0.002437 0.002451 +0.000041 0.000349\nvorticity_mean 0.023284 0.027885 +0.000528 0.011085\nstress_xx -0.000620 -0.000608 -0.000064 0.000171\nstress_yy 0.000586 0.000583 -0.000005 0.000111\nstress_xy -0.000204 -0.000210 -0.000004 0.000121\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3573500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3578500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3583500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3583500.\n\n[cycle 3588500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3588500.\n\n[cycle 3593500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3598500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3598500."}
{"ts": "2026-06-06T22:56:26Z", "turn": 707, "cycle": 3608500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3608500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.9W util=19%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.658100 0.657026 +0.000200 0.002700\nasymmetry 50.329800 50.591413 -0.008200 0.644500\nvel_mean 0.219800 0.221117 -0.001822 0.004052\nvel_max 0.285376 0.285185 +0.000690 0.007110\nvel_var 0.002572 0.002450 +0.000152 0.000344\nvorticity_mean 0.029516 0.027859 +0.005098 0.010983\nstress_xx -0.000581 -0.000614 +0.000034 0.000154\nstress_yy 0.000604 0.000581 +0.000030 0.000128\nstress_xy -0.000185 -0.000217 +0.000016 0.000107\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3578500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3573500.\n\n[cycle 3583500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3583500.\n\n[cycle 3588500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3588500.\n\n[cycle 3593500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3598500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3603500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3598500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500."}
{"ts": "2026-06-06T22:57:36Z", "turn": 708, "cycle": 3613500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3613500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.0W util=26%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656600 0.657007 -0.001300 0.002700\nasymmetry 50.719400 50.611624 +0.325400 0.652100\nvel_mean 0.219400 0.221120 -0.000025 0.004129\nvel_max 0.286408 0.285161 +0.001636 0.006368\nvel_var 0.002521 0.002450 -0.000052 0.000333\nvorticity_mean 0.033326 0.027827 +0.002478 0.011198\nstress_xx -0.000644 -0.000616 -0.000057 0.000150\nstress_yy 0.000635 0.000591 +0.000117 0.000130\nstress_xy -0.000216 -0.000207 -0.000040 0.000110\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3583500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3583500.\n\n[cycle 3588500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3588500.\n\n[cycle 3593500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3598500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3603500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3598500.\n\n[cycle 3608500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500."}
{"ts": "2026-06-06T22:58:43Z", "turn": 709, "cycle": 3618500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3618500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.6W util=18%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.655800 0.657010 -0.000200 0.002700\nasymmetry 50.929900 50.624381 +0.061400 0.641200\nvel_mean 0.221959 0.221110 +0.001961 0.004128\nvel_max 0.287867 0.285274 +0.001229 0.006864\nvel_var 0.002331 0.002451 -0.000134 0.000346\nvorticity_mean 0.028853 0.027840 -0.003934 0.011093\nstress_xx -0.000611 -0.000606 +0.000039 0.000173\nstress_yy 0.000569 0.000592 -0.000035 0.000106\nstress_xy -0.000201 -0.000203 -0.000008 0.000119\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3588500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3588500.\n\n[cycle 3593500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3598500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3603500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3598500.\n\n[cycle 3608500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3613500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "idle, baseline"}
{"ts": "2026-06-06T22:59:53Z", "turn": 710, "cycle": 3623500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3623500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.6W util=19%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657000 0.656988 +0.000300 0.002900\nasymmetry 50.636900 50.645522 -0.094600 0.661700\nvel_mean 0.222919 0.221103 +0.000518 0.004077\nvel_max 0.283991 0.285247 -0.003880 0.007387\nvel_var 0.002385 0.002451 +0.000030 0.000339\nvorticity_mean 0.022662 0.027872 -0.004406 0.010967\nstress_xx -0.000631 -0.000610 -0.000030 0.000154\nstress_yy 0.000621 0.000580 +0.000042 0.000128\nstress_xy -0.000220 -0.000215 -0.000023 0.000105\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3593500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3598500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3603500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3598500.\n\n[cycle 3608500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3613500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3618500] idle, baseline\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3618500."}
{"ts": "2026-06-06T23:01:00Z", "turn": 711, "cycle": 3628500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3628500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.5W util=19%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657900 0.656956 +0.000900 0.002800\nasymmetry 50.410600 50.664465 -0.226800 0.647400\nvel_mean 0.221498 0.221106 -0.001606 0.004131\nvel_max 0.284712 0.285176 +0.001428 0.006848\nvel_var 0.002438 0.002450 +0.000128 0.000338\nvorticity_mean 0.024662 0.027882 +0.002237 0.011065\nstress_xx -0.000584 -0.000618 +0.000012 0.000142\nstress_yy 0.000621 0.000584 +0.000015 0.000129\nstress_xy -0.000213 -0.000214 -0.000031 0.000102\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3598500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3593500.\n\n[cycle 3603500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3598500.\n\n[cycle 3608500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3613500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3618500] idle, baseline\n\n[cycle 3623500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3618500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500."}
{"ts": "2026-06-06T23:02:10Z", "turn": 712, "cycle": 3633500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3633500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.4W util=19%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657900 0.656919 -0.000100 0.002600\nasymmetry 50.501700 50.687621 +0.045800 0.631000\nvel_mean 0.219309 0.221115 -0.001335 0.004123\nvel_max 0.283960 0.285213 -0.000371 0.007042\nvel_var 0.002578 0.002450 +0.000064 0.000341\nvorticity_mean 0.031077 0.027851 +0.004915 0.011067\nstress_xx -0.000667 -0.000613 -0.000096 0.000152\nstress_yy 0.000602 0.000594 +0.000007 0.000119\nstress_xy -0.000240 -0.000205 -0.000034 0.000086\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3603500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3598500.\n\n[cycle 3608500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3613500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3618500] idle, baseline\n\n[cycle 3623500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3618500.\n\n[cycle 3628500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500."}
{"ts": "2026-06-06T23:03:16Z", "turn": 713, "cycle": 3638500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3638500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.0W util=19%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.655800 0.656919 -0.000900 0.002800\nasymmetry 50.988300 50.702905 +0.264000 0.655100\nvel_mean 0.220059 0.221119 +0.000576 0.004092\nvel_max 0.285811 0.285165 +0.000703 0.006261\nvel_var 0.002470 0.002450 -0.000071 0.000342\nvorticity_mean 0.032671 0.027828 +0.000452 0.011001\nstress_xx -0.000633 -0.000609 +0.000078 0.000186\nstress_yy 0.000537 0.000589 -0.000041 0.000104\nstress_xy -0.000225 -0.000208 +0.000010 0.000115\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3608500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3613500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3618500] idle, baseline\n\n[cycle 3623500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3618500.\n\n[cycle 3628500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3633500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500."}
{"ts": "2026-06-06T23:04:27Z", "turn": 714, "cycle": 3643500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3643500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.0W util=21%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656600 0.656874 +0.000000 0.002900\nasymmetry 50.804400 50.727277 +0.002300 0.651200\nvel_mean 0.222511 0.221109 +0.002132 0.004132\nvel_max 0.286348 0.285212 -0.003851 0.008363\nvel_var 0.002361 0.002451 -0.000143 0.000343\nvorticity_mean 0.026753 0.027846 -0.005219 0.011034\nstress_xx -0.000626 -0.000615 -0.000006 0.000144\nstress_yy 0.000591 0.000579 +0.000000 0.000131\nstress_xy -0.000226 -0.000217 -0.000018 0.000096\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3613500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3608500.\n\n[cycle 3618500] idle, baseline\n\n[cycle 3623500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3618500.\n\n[cycle 3628500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3633500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3638500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500."}
{"ts": "2026-06-06T23:05:36Z", "turn": 715, "cycle": 3648500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3648500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 45.0W util=36%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656900 0.656869 +0.000500 0.002700\nasymmetry 50.713700 50.742604 -0.105700 0.631900\nvel_mean 0.223041 0.221099 +0.000192 0.004128\nvel_max 0.284427 0.285232 -0.002725 0.006253\nvel_var 0.002310 0.002451 -0.000009 0.000348\nvorticity_mean 0.022481 0.027881 -0.002757 0.011077\nstress_xx -0.000578 -0.000616 +0.000044 0.000172\nstress_yy 0.000629 0.000587 +0.000016 0.000130\nstress_xy -0.000226 -0.000210 -0.000023 0.000124\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3618500] idle, baseline\n\n[cycle 3623500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3618500.\n\n[cycle 3628500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3633500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3638500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3643500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3643500."}
{"ts": "2026-06-06T23:06:46Z", "turn": 716, "cycle": 3653500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3653500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.5W util=25%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657900 0.656845 +0.000900 0.002700\nasymmetry 50.531800 50.762801 -0.196100 0.638900\nvel_mean 0.220513 0.221105 -0.001477 0.004100\nvel_max 0.283409 0.285140 -0.000077 0.006778\nvel_var 0.002525 0.002451 +0.000110 0.000347\nvorticity_mean 0.026401 0.027878 +0.003408 0.011007\nstress_xx -0.000629 -0.000607 -0.000007 0.000168\nstress_yy 0.000576 0.000595 -0.000041 0.000110\nstress_xy -0.000196 -0.000206 +0.000035 0.000098\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3623500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3618500.\n\n[cycle 3628500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3633500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3638500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3643500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3648500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3643500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3653500."}
{"ts": "2026-06-06T23:07:56Z", "turn": 717, "cycle": 3658500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3658500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.8W util=20%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656600 0.656825 -0.000900 0.002700\nasymmetry 50.842700 50.782382 +0.263000 0.624000\nvel_mean 0.219504 0.221112 -0.000690 0.004121\nvel_max 0.284379 0.285199 +0.000410 0.007645\nvel_var 0.002532 0.002450 -0.000017 0.000348\nvorticity_mean 0.032434 0.027848 +0.004833 0.011059\nstress_xx -0.000545 -0.000609 +0.000074 0.000188\nstress_yy 0.000544 0.000586 -0.000067 0.000110\nstress_xy -0.000195 -0.000211 +0.000003 0.000107\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3628500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3633500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3638500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3643500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3648500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3643500.\n\n[cycle 3653500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3653500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500."}
{"ts": "2026-06-06T23:09:03Z", "turn": 718, "cycle": 3663500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3663500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.5W util=24%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656500 0.656806 -0.000300 0.002700\nasymmetry 50.885900 50.800728 +0.056000 0.628900\nvel_mean 0.220430 0.221113 +0.001269 0.004136\nvel_max 0.286213 0.285238 +0.000025 0.007332\nvel_var 0.002493 0.002450 -0.000096 0.000346\nvorticity_mean 0.031700 0.027831 -0.001261 0.011038\nstress_xx -0.000674 -0.000614 -0.000081 0.000141\nstress_yy 0.000554 0.000579 -0.000072 0.000127\nstress_xy -0.000234 -0.000215 -0.000017 0.000098\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3633500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3628500.\n\n[cycle 3638500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3643500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3648500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3643500.\n\n[cycle 3653500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3653500.\n\n[cycle 3658500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500."}
{"ts": "2026-06-06T23:10:13Z", "turn": 719, "cycle": 3668500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3668500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.4W util=18%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656200 0.656780 -0.000200 0.002700\nasymmetry 50.917500 50.820288 +0.010600 0.629500\nvel_mean 0.222899 0.221100 +0.001809 0.004135\nvel_max 0.285771 0.285150 -0.001180 0.006669\nvel_var 0.002320 0.002451 -0.000096 0.000343\nvorticity_mean 0.024916 0.027859 -0.005592 0.011065\nstress_xx -0.000575 -0.000615 +0.000076 0.000166\nstress_yy 0.000617 0.000589 +0.000047 0.000128\nstress_xy -0.000185 -0.000209 +0.000082 0.000120\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3638500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3643500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3648500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3643500.\n\n[cycle 3653500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3653500.\n\n[cycle 3658500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3663500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3663500."}
{"ts": "2026-06-06T23:11:20Z", "turn": 720, "cycle": 3673500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3673500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.5W util=23%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657000 0.656748 +0.001200 0.002600\nasymmetry 50.803100 50.842842 -0.238000 0.639400\nvel_mean 0.221837 0.221095 -0.001167 0.004135\nvel_max 0.283627 0.285141 -0.001149 0.007333\nvel_var 0.002421 0.002452 +0.000136 0.000345\nvorticity_mean 0.023118 0.027887 -0.000857 0.011090\nstress_xx -0.000567 -0.000613 +0.000045 0.000177\nstress_yy 0.000577 0.000594 -0.000051 0.000115\nstress_xy -0.000185 -0.000206 +0.000014 0.000101\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3643500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3638500.\n\n[cycle 3648500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3643500.\n\n[cycle 3653500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3653500.\n\n[cycle 3658500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3663500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3668500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3663500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3668500."}
{"ts": "2026-06-06T23:12:29Z", "turn": 721, "cycle": 3678500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3678500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.2W util=19%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.657500 0.656721 +0.000500 0.002800\nasymmetry 50.677400 50.863705 -0.093100 0.632400\nvel_mean 0.220180 0.221106 -0.001464 0.004120\nvel_max 0.283691 0.285148 +0.000839 0.007233\nvel_var 0.002543 0.002450 +0.000060 0.000352\nvorticity_mean 0.027963 0.027869 +0.004596 0.011043\nstress_xx -0.000624 -0.000611 -0.000068 0.000163\nstress_yy 0.000552 0.000583 -0.000047 0.000115\nstress_xy -0.000247 -0.000211 -0.000046 0.000112\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3648500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3643500.\n\n[cycle 3653500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3653500.\n\n[cycle 3658500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3663500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3668500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3663500.\n\n[cycle 3673500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3668500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3673500."}
{"ts": "2026-06-06T23:13:36Z", "turn": 722, "cycle": 3683500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3683500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 41.3W util=22%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656800 0.656689 -0.000500 0.002700\nasymmetry 50.886700 50.884114 +0.164500 0.630500\nvel_mean 0.219142 0.221117 -0.000801 0.004036\nvel_max 0.287486 0.285227 +0.002456 0.006790\nvel_var 0.002599 0.002451 +0.000064 0.000348\nvorticity_mean 0.033041 0.027835 +0.003457 0.011074\nstress_xx -0.000661 -0.000613 -0.000030 0.000152\nstress_yy 0.000523 0.000582 -0.000072 0.000129\nstress_xy -0.000207 -0.000214 -0.000008 0.000134\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3653500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3653500.\n\n[cycle 3658500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3663500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3668500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3663500.\n\n[cycle 3673500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3668500.\n\n[cycle 3678500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3673500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3678500."}
{"ts": "2026-06-06T23:14:48Z", "turn": 723, "cycle": 3688500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3688500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 46.0W util=39%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.656300 0.656667 -0.000400 0.002800\nasymmetry 51.016700 50.902070 +0.121600 0.648100\nvel_mean 0.221180 0.221110 +0.001750 0.004133\nvel_max 0.285676 0.285190 -0.000922 0.006002\nvel_var 0.002404 0.002451 -0.000133 0.000345\nvorticity_mean 0.030211 0.027835 -0.003110 0.011091\nstress_xx -0.000613 -0.000615 +0.000053 0.000200\nstress_yy 0.000610 0.000594 +0.000076 0.000126\nstress_xy -0.000170 -0.000210 +0.000070 0.000108\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3658500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3663500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3668500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3663500.\n\n[cycle 3673500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3668500.\n\n[cycle 3678500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3673500.\n\n[cycle 3683500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3678500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3683500."}
{"ts": "2026-06-06T23:16:01Z", "turn": 724, "cycle": 3693500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3693500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 44.5W util=43%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.638700 0.647622 -0.016800 0.028400\nasymmetry 60.276200 55.206830 +9.066700 12.211600\nvel_mean 0.222929 0.221109 +0.000828 0.004112\nvel_max 0.283975 0.285311 -0.000651 0.007689\nvel_var 0.002307 0.002452 -0.000002 0.000345\nvorticity_mean 0.023716 0.027856 -0.004962 0.011066\nstress_xx -0.000594 -0.000618 +0.000018 0.000176\nstress_yy 0.000617 0.000599 +0.000011 0.000135\nstress_xy -0.000223 -0.000208 -0.000035 0.000109\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3663500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3658500.\n\n[cycle 3668500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3663500.\n\n[cycle 3673500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3668500.\n\n[cycle 3678500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3673500.\n\n[cycle 3683500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3678500.\n\n[cycle 3688500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3683500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3688500."}
{"ts": "2026-06-06T23:17:13Z", "turn": 725, "cycle": 3698500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3698500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 45.2W util=33%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.649500 0.648493 +0.001800 0.003300\nasymmetry 57.416500 57.653602 -0.431000 0.841000\nvel_mean 0.221520 0.221098 -0.001120 0.004057\nvel_max 0.282513 0.285304 -0.000911 0.007730\nvel_var 0.002485 0.002451 +0.000090 0.000339\nvorticity_mean 0.023569 0.027895 +0.000769 0.011018\nstress_xx -0.000658 -0.000628 -0.000062 0.000139\nstress_yy 0.000638 0.000598 +0.000021 0.000121\nstress_xy -0.000238 -0.000219 -0.000022 0.000109\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3668500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3663500.\n\n[cycle 3673500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3668500.\n\n[cycle 3678500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3673500.\n\n[cycle 3683500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3678500.\n\n[cycle 3688500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3683500.\n\n[cycle 3693500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3688500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3693500."}
{"ts": "2026-06-06T23:18:24Z", "turn": 726, "cycle": 3703500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3703500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 49.1W util=37%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.650200 0.649461 -0.000300 0.002700\nasymmetry 57.248400 57.424054 +0.070000 0.674800\nvel_mean 0.219792 0.221111 -0.001860 0.004150\nvel_max 0.287592 0.285254 +0.004395 0.006964\nvel_var 0.002557 0.002451 +0.000127 0.000340\nvorticity_mean 0.029803 0.027864 +0.005029 0.011137\nstress_xx -0.000610 -0.000634 +0.000011 0.000163\nstress_yy 0.000593 0.000603 +0.000001 0.000143\nstress_xy -0.000206 -0.000221 +0.000012 0.000116\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3673500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3668500.\n\n[cycle 3678500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3673500.\n\n[cycle 3683500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3678500.\n\n[cycle 3688500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3683500.\n\n[cycle 3693500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3688500.\n\n[cycle 3698500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3693500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3698500."}
{"ts": "2026-06-06T23:19:33Z", "turn": 727, "cycle": 3708500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3708500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 52.8W util=21%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.649700 0.649664 -0.000800 0.002600\nasymmetry 57.382900 57.389806 +0.210000 0.675900\nvel_mean 0.219456 0.221116 -0.000073 0.004131\nvel_max 0.287479 0.285167 +0.002220 0.006552\nvel_var 0.002533 0.002450 -0.000053 0.000339\nvorticity_mean 0.033355 0.027832 +0.001943 0.011052\nstress_xx -0.000654 -0.000635 -0.000011 0.000195\nstress_yy 0.000638 0.000612 +0.000097 0.000131\nstress_xy -0.000217 -0.000214 -0.000033 0.000105\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3678500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3673500.\n\n[cycle 3683500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3678500.\n\n[cycle 3688500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3683500.\n\n[cycle 3693500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3688500.\n\n[cycle 3698500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3693500.\n\n[cycle 3703500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3698500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3703500."}
{"ts": "2026-06-06T23:20:44Z", "turn": 728, "cycle": 3713500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3713500 omega=1.97 khra=0.03 gixx=0.008\ngpu=42C 47.4W util=36%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.648400 0.649691 -0.000300 0.002800\nasymmetry 57.746700 57.397428 +0.107200 0.686300\nvel_mean 0.222261 0.221103 +0.002200 0.004080\nvel_max 0.285060 0.285179 -0.000014 0.006968\nvel_var 0.002296 0.002451 -0.000173 0.000339\nvorticity_mean 0.028367 0.027846 -0.004349 0.010983\nstress_xx -0.000619 -0.000627 +0.000038 0.000168\nstress_yy 0.000605 0.000606 -0.000010 0.000126\nstress_xy -0.000228 -0.000213 -0.000031 0.000123\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3683500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3678500.\n\n[cycle 3688500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3683500.\n\n[cycle 3693500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3688500.\n\n[cycle 3698500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3693500.\n\n[cycle 3703500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3698500.\n\n[cycle 3708500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3703500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3708500."}
{"ts": "2026-06-06T23:21:50Z", "turn": 729, "cycle": 3718500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3718500 omega=1.97 khra=0.03 gixx=0.008\ngpu=42C 57.3W util=18%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.649500 0.649666 +0.000800 0.002900\nasymmetry 57.469400 57.421438 -0.170800 0.694100\nvel_mean 0.222625 0.221099 +0.000290 0.004150\nvel_max 0.282440 0.285248 -0.001649 0.007205\nvel_var 0.002404 0.002451 +0.000053 0.000347\nvorticity_mean 0.022659 0.027878 -0.003961 0.011100\nstress_xx -0.000633 -0.000632 -0.000014 0.000164\nstress_yy 0.000637 0.000600 +0.000062 0.000118\nstress_xy -0.000232 -0.000223 +0.000005 0.000114\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3688500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3683500.\n\n[cycle 3693500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3688500.\n\n[cycle 3698500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3693500.\n\n[cycle 3703500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3698500.\n\n[cycle 3708500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3703500.\n\n[cycle 3713500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3708500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3713500."}
{"ts": "2026-06-06T23:23:04Z", "turn": 730, "cycle": 3723500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3723500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 42.4W util=35%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.650800 0.649655 +0.000700 0.002800\nasymmetry 57.163200 57.437499 -0.183000 0.701500\nvel_mean 0.221539 0.221102 -0.001303 0.004129\nvel_max 0.283455 0.285205 -0.000775 0.005984\nvel_var 0.002438 0.002451 +0.000071 0.000350\nvorticity_mean 0.024961 0.027881 +0.002581 0.011126\nstress_xx -0.000617 -0.000635 +0.000029 0.000174\nstress_yy 0.000647 0.000608 +0.000022 0.000130\nstress_xy -0.000220 -0.000221 -0.000021 0.000153\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3693500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3688500.\n\n[cycle 3698500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3693500.\n\n[cycle 3703500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3698500.\n\n[cycle 3708500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3703500.\n\n[cycle 3713500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3708500.\n\n[cycle 3718500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3713500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3718500."}
{"ts": "2026-06-06T23:24:13Z", "turn": 731, "cycle": 3728500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3728500 omega=1.97 khra=0.03 gixx=0.008\ngpu=41C 48.6W util=30%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.650400 0.649622 -0.000400 0.002900\nasymmetry 57.263700 57.462762 +0.097800 0.689300\nvel_mean 0.219468 0.221113 -0.001152 0.004118\nvel_max 0.285463 0.285268 +0.001127 0.007034\nvel_var 0.002576 0.002450 +0.000060 0.000343\nvorticity_mean 0.031644 0.027851 +0.005205 0.011066\nstress_xx -0.000653 -0.000634 -0.000056 0.000183\nstress_yy 0.000598 0.000613 -0.000031 0.000111\nstress_xy -0.000250 -0.000210 -0.000043 0.000113\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3698500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3693500.\n\n[cycle 3703500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3698500.\n\n[cycle 3708500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3703500.\n\n[cycle 3713500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3708500.\n\n[cycle 3718500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3713500.\n\n[cycle 3723500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3718500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3723500."}
{"ts": "2026-06-06T23:25:22Z", "turn": 732, "cycle": 3733500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3733500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 44.0W util=29%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.648300 0.649601 -0.001400 0.002800\nasymmetry 57.789400 57.483173 +0.337900 0.700500\nvel_mean 0.220180 0.221117 +0.000926 0.004137\nvel_max 0.286586 0.285171 +0.000552 0.006510\nvel_var 0.002465 0.002450 -0.000086 0.000346\nvorticity_mean 0.032554 0.027830 +0.000123 0.011090\nstress_xx -0.000662 -0.000626 +0.000011 0.000164\nstress_yy 0.000562 0.000605 -0.000099 0.000138\nstress_xy -0.000225 -0.000214 +0.000005 0.000131\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3703500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3698500.\n\n[cycle 3708500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3703500.\n\n[cycle 3713500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3708500.\n\n[cycle 3718500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3713500.\n\n[cycle 3723500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3718500.\n\n[cycle 3728500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3723500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3728500."}
{"ts": "2026-06-06T23:26:33Z", "turn": 733, "cycle": 3738500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3738500 omega=1.97 khra=0.03 gixx=0.008\ngpu=42C 77.7W util=10%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.648700 0.649610 +0.000200 0.002700\nasymmetry 57.728500 57.499163 -0.051700 0.673700\nvel_mean 0.222372 0.221104 +0.001706 0.004129\nvel_max 0.284059 0.285215 -0.005271 0.007149\nvel_var 0.002358 0.002451 -0.000077 0.000352\nvorticity_mean 0.026267 0.027851 -0.005311 0.011016\nstress_xx -0.000631 -0.000634 -0.000006 0.000170\nstress_yy 0.000626 0.000599 +0.000028 0.000131\nstress_xy -0.000229 -0.000226 +0.000003 0.000101\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3708500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3703500.\n\n[cycle 3713500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3708500.\n\n[cycle 3718500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3713500.\n\n[cycle 3723500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3718500.\n\n[cycle 3728500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3723500.\n\n[cycle 3733500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3728500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3733500."}
{"ts": "2026-06-06T23:27:40Z", "turn": 734, "cycle": 3743500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3743500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 44.7W util=31%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.649900 0.649572 +0.000400 0.002800\nasymmetry 57.457600 57.523789 -0.094300 0.683600\nvel_mean 0.222817 0.221100 +0.000014 0.004110\nvel_max 0.284102 0.285125 -0.000787 0.006792\nvel_var 0.002362 0.002451 -0.000008 0.000343\nvorticity_mean 0.022357 0.027882 -0.002345 0.011105\nstress_xx -0.000576 -0.000639 +0.000075 0.000147\nstress_yy 0.000612 0.000609 -0.000024 0.000140\nstress_xy -0.000211 -0.000215 -0.000005 0.000111\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3713500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3708500.\n\n[cycle 3718500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3713500.\n\n[cycle 3723500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3718500.\n\n[cycle 3728500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3723500.\n\n[cycle 3733500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3728500.\n\n[cycle 3738500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3733500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3738500."}
{"ts": "2026-06-06T23:28:49Z", "turn": 735, "cycle": 3748500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3748500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 43.3W util=40%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.650700 0.649549 +0.000600 0.002800\nasymmetry 57.248200 57.546992 -0.201800 0.703900\nvel_mean 0.220454 0.221105 -0.001949 0.004136\nvel_max 0.284092 0.285232 +0.000210 0.007805\nvel_var 0.002525 0.002451 +0.000171 0.000346\nvorticity_mean 0.026746 0.027879 +0.003811 0.011096\nstress_xx -0.000669 -0.000628 -0.000052 0.000198\nstress_yy 0.000571 0.000613 -0.000082 0.000139\nstress_xy -0.000188 -0.000210 +0.000055 0.000098\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3718500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3713500.\n\n[cycle 3723500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3718500.\n\n[cycle 3728500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3723500.\n\n[cycle 3733500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3728500.\n\n[cycle 3738500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3733500.\n\n[cycle 3743500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3738500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3743500."}
{"ts": "2026-06-06T23:29:58Z", "turn": 736, "cycle": 3753500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3753500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 43.2W util=28%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.649500 0.649493 -0.000800 0.002700\nasymmetry 57.575300 57.573629 +0.243700 0.672700\nvel_mean 0.219278 0.221118 -0.000675 0.004103\nvel_max 0.285617 0.285257 +0.001057 0.006599\nvel_var 0.002544 0.002450 -0.000025 0.000339\nvorticity_mean 0.032571 0.027842 +0.004357 0.011001\nstress_xx -0.000571 -0.000629 +0.000140 0.000187\nstress_yy 0.000523 0.000601 -0.000121 0.000121\nstress_xy -0.000200 -0.000222 +0.000020 0.000112\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3723500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3718500.\n\n[cycle 3728500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3723500.\n\n[cycle 3733500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3728500.\n\n[cycle 3738500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3733500.\n\n[cycle 3743500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3738500.\n\n[cycle 3748500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3743500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3748500."}
{"ts": "2026-06-06T23:31:06Z", "turn": 737, "cycle": 3758500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3758500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.6W util=25%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.648200 0.649484 -0.000700 0.002900\nasymmetry 57.878700 57.593656 +0.142300 0.673500\nvel_mean 0.220775 0.221116 +0.001355 0.004089\nvel_max 0.286837 0.285271 +0.000501 0.006573\nvel_var 0.002428 0.002450 -0.000110 0.000339\nvorticity_mean 0.031390 0.027829 -0.001736 0.011038\nstress_xx -0.000690 -0.000636 -0.000077 0.000163\nstress_yy 0.000584 0.000599 +0.000030 0.000148\nstress_xy -0.000247 -0.000225 +0.000006 0.000116\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3728500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3723500.\n\n[cycle 3733500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3728500.\n\n[cycle 3738500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3733500.\n\n[cycle 3743500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3738500.\n\n[cycle 3748500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3743500.\n\n[cycle 3753500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3748500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3753500."}
{"ts": "2026-06-06T23:32:15Z", "turn": 738, "cycle": 3763500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3763500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 42.2W util=30%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.649400 0.649494 +0.000300 0.002900\nasymmetry 57.654600 57.606790 -0.008200 0.672800\nvel_mean 0.222825 0.221097 +0.001416 0.004154\nvel_max 0.283755 0.285214 -0.003140 0.006247\nvel_var 0.002370 0.002452 -0.000042 0.000344\nvorticity_mean 0.024464 0.027866 -0.005562 0.011115\nstress_xx -0.000598 -0.000634 +0.000044 0.000182\nstress_yy 0.000613 0.000612 +0.000012 0.000129\nstress_xy -0.000202 -0.000212 +0.000074 0.000113\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3733500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3728500.\n\n[cycle 3738500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3733500.\n\n[cycle 3743500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3738500.\n\n[cycle 3748500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3743500.\n\n[cycle 3753500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3748500.\n\n[cycle 3758500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3753500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3758500."}
{"ts": "2026-06-06T23:33:26Z", "turn": 739, "cycle": 3768500, "model": "gemma3:4b", "prompt": "CURRENT WINDOW (200 frames):\ncycle=3768500 omega=1.97 khra=0.03 gixx=0.008\ngpu=40C 55.7W util=12%\n\nmetric now mean delta range\n----------------------------------------------------------\ncoherence 0.650000 0.649455 +0.000900 0.002700\nasymmetry 57.522500 57.631433 -0.221800 0.675400\nvel_mean 0.222255 0.221096 -0.000964 0.004114\nvel_max 0.284201 0.285190 +0.000684 0.007447\nvel_var 0.002368 0.002452 +0.000090 0.000343\nvorticity_mean 0.023146 0.027888 -0.000320 0.011029\nstress_xx -0.000624 -0.000629 +0.000005 0.000178\nstress_yy 0.000593 0.000609 -0.000049 0.000122\nstress_xy -0.000181 -0.000212 +0.000017 0.000113\n\nPAST OBSERVATIONS (most recent last):\n[cycle 3738500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3733500.\n\n[cycle 3743500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3738500.\n\n[cycle 3748500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3743500.\n\n[cycle 3753500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3748500.\n\n[cycle 3758500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3753500.\n\n[cycle 3763500] Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3758500.\n\nWhat patterns do you see? What is repeating or changing?", "response": "Asymmetry exceeds the baseline range of 12.1..12.6 by 0.267900, starting at cycle 3418500, consistently across the last 10 cycles at cycle 3763500."}
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"""inject_continuous_stream.py — 4-arm continuous-streaming experiment.
Question: when real BTC minute data is fed continuously into the lattice,
does field state predict future |price moves| BETTER than the raw data alone?
Arms:
A — NO-INJECTION CONTROL. Lattice runs free, we sample state every replay-tick.
Tells us the lattice's natural variability over the experiment window.
B — STACKED. All 3 vars injected at (512,512), distinct ZMQ messages per var.
Tests "amplitude only" — does the lattice add anything over data?
C — SEPARATED. signed_flow @(400,512), vwap_drift @(512,512), wallet_entropy @(624,512).
Tests "spatial separation creates distinguishable channels".
D — RAW DATA BASELINE. Computed offline by the analyzer from parquets directly.
No lattice involved. Reference performance — "how good is the data alone?".
Variables (the 3 confirmed-real channels from varisol overnight):
signed_flow_usd, vwap_drift, wallet_entropy
Per source minute m:
1. compute one-sided rolling z-score for each var over past 500 minutes
2. cap z at +/-3, convert to strength = z/3 * STR_CAP (STR_CAP=0.30, calibrated linear range)
3. for arms B/C: send 3 inject_density messages per minute
4. wait WAIT_AFTER_INJECT_MS
5. snapshot most-recent telemetry as field_state(m)
6. advance to next minute after PER_MINUTE_MS total
Replay rate: 100ms per source minute (10x realtime). Lattice halflife ~0.5s, so
each minute's injection contributes to a sustained accumulated state. Verified
by _throughput_probe.py — lattice handles 20/sec without packet loss.
Output: /mnt/d/Resonance_Engine/traj/contstream_<RUN_ID>/
meta.json
arm_A_no_inject.parquet
arm_B_stacked.parquet
arm_C_separated.parquet
progress.log
"""
from __future__ import annotations
import glob, json, threading, time
from pathlib import Path
import numpy as np
import pandas as pd
import zmq
# ─────── config ───────
DATA_ROOT = "/mnt/d/PaperTrader/research/hl_data/minutes"
DAYS_GLOB = "202603*" # all of March 2026
COIN = "BTC"
VARIABLES = ["signed_flow_usd", "vwap_drift", "wallet_entropy"]
ROLL_WIN = 500 # past-only rolling z-score window
STR_CAP = 0.30 # stay in calibrated linear range
Z_CLIP = 3.0
# Spatial coords (used by arm C; B uses XY_CENTER for all)
XY_CENTER = (512.0, 512.0)
ARM_C_XY = {
"signed_flow_usd": (400.0, 512.0),
"vwap_drift": (512.0, 512.0),
"wallet_entropy": (624.0, 512.0),
}
INJECT_SIG = 32.0
# Timing
PER_MINUTE_MS = 100 # total per-minute budget (10x realtime)
WAIT_AFTER_INJECT_MS = 60 # wait after the 3 sends before snapshot
COOLDOWN_BETWEEN_ARMS_S = 1200 # 20 min between arms B/C to let field settle
# ZMQ
TEL_ADDR = "tcp://127.0.0.1:5556"
CMD_ADDR = "tcp://127.0.0.1:5557"
CHANNELS = ["asymmetry", "coherence", "stress_xx", "stress_yy", "stress_xy",
"vorticity_mean", "vel_mean", "vel_max", "vel_var"]
RUN_ID = time.strftime("%Y%m%dT%H%M%S")
OUT_DIR = Path(f"/mnt/d/Resonance_Engine/traj/contstream_{RUN_ID}")
OUT_DIR.mkdir(parents=True, exist_ok=True)
PROGRESS = OUT_DIR / "progress.log"
def log(msg: str) -> None:
line = f"[{time.strftime('%Y-%m-%dT%H:%M:%S')}] {msg}"
print(line, flush=True)
with PROGRESS.open("a") as f:
f.write(line + "\n")
# ─────── ZMQ telemetry subscriber (keeps most-recent only) ───────
class LatestTel:
def __init__(self, addr: str):
self.ctx = zmq.Context.instance()
self.sock = self.ctx.socket(zmq.SUB)
self.sock.connect(addr)
self.sock.setsockopt(zmq.SUBSCRIBE, b"")
self.sock.setsockopt(zmq.RCVHWM, 2000)
self.latest: dict | None = None
self.latest_wall: float = 0.0
self.n_seen = 0
self._stop = threading.Event()
self._t = threading.Thread(target=self._run, daemon=True)
self._t.start()
def _run(self):
while not self._stop.is_set():
if self.sock.poll(100):
try:
raw = self.sock.recv_string(zmq.NOBLOCK)
self.latest = json.loads(raw)
self.latest_wall = time.time()
self.n_seen += 1
except Exception:
pass
def snapshot(self) -> tuple[dict | None, float]:
return self.latest, self.latest_wall
def stop(self):
self._stop.set()
# ─────── data loading ───────
def load_btc_month() -> pd.DataFrame:
day_dirs = sorted(glob.glob(f"{DATA_ROOT}/{DAYS_GLOB}"))
if not day_dirs:
raise RuntimeError(f"no day dirs matching {DAYS_GLOB} in {DATA_ROOT}")
log(f"loading {len(day_dirs)} day dirs ({day_dirs[0].split('/')[-1]} .. {day_dirs[-1].split('/')[-1]})")
dfs = []
for d in day_dirs:
files = sorted(glob.glob(f"{d}/*.parquet"))
for f in files:
dfs.append(pd.read_parquet(f))
df = pd.concat(dfs, ignore_index=True)
df = df[df.coin == COIN].sort_values("minute").reset_index(drop=True)
df = df.drop_duplicates(subset=["minute"]).reset_index(drop=True)
log(f"loaded {len(df)} unique minutes of {COIN} data, "
f"minute range {df.minute.min()}..{df.minute.max()}")
return df
def compute_one_sided_zscores(df: pd.DataFrame, vars_: list[str], win: int) -> dict[str, np.ndarray]:
"""For each var: rolling z-score using only PAST `win` minutes (no look-ahead)."""
out = {}
for v in vars_:
s = df[v].astype(float)
# shift(1) so the window for minute m uses minutes m-win..m-1 (strictly past)
roll = s.shift(1).rolling(window=win, min_periods=50)
mu = roll.mean()
sd = roll.std()
z = (s - mu) / sd.replace(0, np.nan)
out[v] = z.values
return out
# ─────── inject + snapshot ───────
def inject_one(pub: zmq.Socket, x: float, y: float, strength: float) -> None:
payload = {"cmd": "inject_density",
"x": float(x), "y": float(y),
"sigma": INJECT_SIG, "strength": float(strength)}
pub.send_string(json.dumps(payload))
def snapshot_row(tel: LatestTel, minute: int, strengths: dict[str, float],
arm: str) -> dict:
"""Pull latest telemetry, build per-minute record."""
snap, snap_wall = tel.snapshot()
rec = {
"minute": int(minute),
"arm": arm,
"snap_wall": snap_wall,
"snap_age_ms": (time.time() - snap_wall) * 1000 if snap_wall else None,
}
for v in VARIABLES:
rec[f"str_{v}"] = strengths.get(v)
if snap is None:
for ch in CHANNELS:
rec[ch] = None
else:
for ch in CHANNELS:
rec[ch] = snap.get(ch)
return rec
def run_arm(tel: LatestTel, pub: zmq.Socket | None, arm: str,
df: pd.DataFrame, zscores: dict[str, np.ndarray]) -> pd.DataFrame:
"""Run one arm end to end. Returns a DataFrame of per-minute records."""
log(f"\n=== arm {arm}: starting ({len(df)} minutes) ===")
if arm == "A":
log(" arm A: NO INJECTIONS — sampling state at cadence only")
elif arm == "B":
log(f" arm B: all 3 vars at {XY_CENTER}")
elif arm == "C":
log(f" arm C: spatially separated — {ARM_C_XY}")
records: list[dict] = []
t_arm_start = time.time()
last_status = t_arm_start
n_minutes = len(df)
step_s = PER_MINUTE_MS / 1000.0
wait_inject_s = WAIT_AFTER_INJECT_MS / 1000.0
for i in range(n_minutes):
t_tick = time.time()
minute = int(df.minute.iat[i])
strengths = {}
for v in VARIABLES:
z = zscores[v][i]
if not np.isfinite(z):
strengths[v] = None
else:
z_c = float(np.clip(z, -Z_CLIP, Z_CLIP))
strengths[v] = (z_c / Z_CLIP) * STR_CAP
# inject (skip if arm A, or if strength is None/insufficient warmup)
if arm in ("B", "C") and pub is not None:
for v in VARIABLES:
s = strengths[v]
if s is None:
continue
if arm == "B":
x, y = XY_CENTER
else:
x, y = ARM_C_XY[v]
inject_one(pub, x, y, s)
# let field react
time.sleep(wait_inject_s)
else:
# arm A — just wait the inject-equivalent gap so cadence matches
time.sleep(wait_inject_s)
rec = snapshot_row(tel, minute, strengths, arm)
records.append(rec)
# pace to step_s per minute total
spent = time.time() - t_tick
remaining = step_s - spent
if remaining > 0:
time.sleep(remaining)
# status every 60s wall-time
if time.time() - last_status > 60:
elapsed = time.time() - t_arm_start
pct = (i + 1) / n_minutes * 100
rate_per_s = (i + 1) / elapsed if elapsed > 0 else 0
eta_s = (n_minutes - i - 1) / rate_per_s if rate_per_s > 0 else 0
cur_field = tel.latest or {}
log(f" arm {arm} {i+1}/{n_minutes} ({pct:.1f}%) rate={rate_per_s:.1f}min/s "
f"ETA={eta_s/60:.1f}min asym={cur_field.get('asymmetry','?'):.3f} "
f"latest_tel_age={(time.time()-tel.latest_wall)*1000 if tel.latest_wall else -1:.0f}ms "
f"tel_seen={tel.n_seen}")
last_status = time.time()
log(f" arm {arm} COMPLETE records={len(records)} total={(time.time()-t_arm_start)/60:.1f}min")
out = pd.DataFrame(records)
return out
# ─────── main ───────
def main():
log(f"=== inject_continuous_stream run_id={RUN_ID} ===")
log(f"out_dir={OUT_DIR}")
log(f"config: per_minute_ms={PER_MINUTE_MS} wait_after_inject_ms={WAIT_AFTER_INJECT_MS} "
f"str_cap={STR_CAP} roll_win={ROLL_WIN}")
# load data
df = load_btc_month()
# compute one-sided z-scores
zscores = compute_one_sided_zscores(df, VARIABLES, ROLL_WIN)
n_finite = {v: int(np.isfinite(zscores[v]).sum()) for v in VARIABLES}
log(f"zscore finite counts: {n_finite}")
# write meta
meta = {
"run_id": RUN_ID,
"coin": COIN,
"data_root": DATA_ROOT,
"days_glob": DAYS_GLOB,
"n_minutes": int(len(df)),
"minute_range": [int(df.minute.min()), int(df.minute.max())],
"variables": VARIABLES,
"roll_win": ROLL_WIN,
"z_clip": Z_CLIP,
"str_cap": STR_CAP,
"xy_center": list(XY_CENTER),
"arm_C_xy": {k: list(v) for k, v in ARM_C_XY.items()},
"inject_sigma": INJECT_SIG,
"per_minute_ms": PER_MINUTE_MS,
"wait_after_inject_ms": WAIT_AFTER_INJECT_MS,
"cooldown_between_arms_s": COOLDOWN_BETWEEN_ARMS_S,
"wall_iso_start": time.strftime("%Y-%m-%dT%H:%M:%S"),
}
(OUT_DIR / "meta.json").write_text(json.dumps(meta, indent=2))
# ZMQ
tel = LatestTel(TEL_ADDR)
ctx = zmq.Context.instance()
pub = ctx.socket(zmq.PUB)
pub.connect(CMD_ADDR)
time.sleep(0.8)
# wait for telemetry up
t0 = time.time()
while tel.latest is None and time.time() - t0 < 15:
time.sleep(0.2)
if tel.latest is None:
log("FATAL: no telemetry on 5556 within 15s")
return
log(f"telemetry up — initial asym={tel.latest['asymmetry']:.3f}")
# ── ARM A: no-injection control FIRST (preserves natural state) ──
df_A = run_arm(tel, None, "A", df, zscores)
df_A.to_parquet(OUT_DIR / "arm_A_no_inject.parquet")
log(f" saved arm_A_no_inject.parquet ({len(df_A)} rows)")
# ── cooldown ──
log(f"\ncooldown {COOLDOWN_BETWEEN_ARMS_S}s before arm B")
time.sleep(COOLDOWN_BETWEEN_ARMS_S)
# ── ARM B: stacked at center ──
df_B = run_arm(tel, pub, "B", df, zscores)
df_B.to_parquet(OUT_DIR / "arm_B_stacked.parquet")
log(f" saved arm_B_stacked.parquet ({len(df_B)} rows)")
# ── cooldown ──
log(f"\ncooldown {COOLDOWN_BETWEEN_ARMS_S}s before arm C")
time.sleep(COOLDOWN_BETWEEN_ARMS_S)
# ── ARM C: spatially separated ──
df_C = run_arm(tel, pub, "C", df, zscores)
df_C.to_parquet(OUT_DIR / "arm_C_separated.parquet")
log(f" saved arm_C_separated.parquet ({len(df_C)} rows)")
log(f"\n=== ALL ARMS COMPLETE === total wall time {(time.time()-t0)/3600:.2f}h")
log(f"output: {OUT_DIR}")
tel.stop()
if __name__ == "__main__":
main()
@@ -0,0 +1,2 @@
[2026-06-07T06:18:49] loading 30 day dirs (20260301 .. 20260330)
[2026-06-07T06:19:00] loaded 43193 unique minutes of BTC data, minute range 29538720..29581919
+42
View File
@@ -0,0 +1,42 @@
{
"run_id": "20260607T061910",
"coin": "BTC",
"data_root": "/mnt/d/PaperTrader/research/hl_data/minutes",
"days_glob": "202603*",
"n_minutes": 43193,
"minute_range": [
29538720,
29581919
],
"variables": [
"signed_flow_usd",
"vwap_drift",
"wallet_entropy"
],
"roll_win": 500,
"z_clip": 3.0,
"str_cap": 0.3,
"xy_center": [
512.0,
512.0
],
"arm_C_xy": {
"signed_flow_usd": [
400.0,
512.0
],
"vwap_drift": [
512.0,
512.0
],
"wallet_entropy": [
624.0,
512.0
]
},
"inject_sigma": 32.0,
"per_minute_ms": 100,
"wait_after_inject_ms": 60,
"cooldown_between_arms_s": 1200,
"wall_iso_start": "2026-06-07T06:19:16"
}
@@ -0,0 +1,25 @@
[2026-06-07T06:19:10] === inject_continuous_stream run_id=20260607T061910 ===
[2026-06-07T06:19:10] out_dir=/mnt/d/Resonance_Engine/traj/contstream_20260607T061910
[2026-06-07T06:19:10] config: per_minute_ms=100 wait_after_inject_ms=60 str_cap=0.3 roll_win=500
[2026-06-07T06:19:10] loading 30 day dirs (20260301 .. 20260330)
[2026-06-07T06:19:16] loaded 43193 unique minutes of BTC data, minute range 29538720..29581919
[2026-06-07T06:19:16] zscore finite counts: {'signed_flow_usd': 43143, 'vwap_drift': 43143, 'wallet_entropy': 43143}
[2026-06-07T06:19:17] telemetry up — initial asym=57.632
[2026-06-07T06:19:17]
=== arm A: starting (43193 minutes) ===
[2026-06-07T06:19:17] arm A: NO INJECTIONS — sampling state at cadence only
[2026-06-07T06:20:17] arm A 563/43193 (1.3%) rate=9.4min/s ETA=75.8min asym=57.569 latest_tel_age=136ms tel_seen=435
[2026-06-07T06:21:17] arm A 1162/43193 (2.7%) rate=9.7min/s ETA=72.4min asym=57.347 latest_tel_age=45ms tel_seen=870
[2026-06-07T06:22:17] arm A 1790/43193 (4.1%) rate=9.9min/s ETA=69.5min asym=57.454 latest_tel_age=23ms tel_seen=1328
[2026-06-07T06:23:17] arm A 2391/43193 (5.5%) rate=10.0min/s ETA=68.3min asym=57.597 latest_tel_age=64ms tel_seen=1743
[2026-06-07T06:24:17] arm A 2992/43193 (6.9%) rate=10.0min/s ETA=67.3min asym=57.222 latest_tel_age=102ms tel_seen=2162
[2026-06-07T06:25:18] arm A 3553/43193 (8.2%) rate=9.9min/s ETA=67.0min asym=57.413 latest_tel_age=32ms tel_seen=2587
[2026-06-07T06:26:18] arm A 4189/43193 (9.7%) rate=10.0min/s ETA=65.2min asym=57.401 latest_tel_age=117ms tel_seen=3006
[2026-06-07T06:27:18] arm A 4851/43193 (11.2%) rate=10.1min/s ETA=63.3min asym=57.656 latest_tel_age=80ms tel_seen=3478
[2026-06-07T06:28:18] arm A 5450/43193 (12.6%) rate=10.1min/s ETA=62.4min asym=57.336 latest_tel_age=20ms tel_seen=3908
[2026-06-07T06:29:18] arm A 6051/43193 (14.0%) rate=10.1min/s ETA=61.4min asym=57.323 latest_tel_age=46ms tel_seen=4336
[2026-06-07T06:30:18] arm A 6651/43193 (15.4%) rate=10.1min/s ETA=60.5min asym=57.921 latest_tel_age=91ms tel_seen=4769
[2026-06-07T06:31:18] arm A 7251/43193 (16.8%) rate=10.1min/s ETA=59.5min asym=57.432 latest_tel_age=104ms tel_seen=5214
[2026-06-07T06:32:18] arm A 7878/43193 (18.2%) rate=10.1min/s ETA=58.3min asym=57.434 latest_tel_age=77ms tel_seen=5655
[2026-06-07T06:33:18] arm A 8477/43193 (19.6%) rate=10.1min/s ETA=57.4min asym=57.887 latest_tel_age=14ms tel_seen=6078
[2026-06-07T06:34:18] arm A 9113/43193 (21.1%) rate=10.1min/s ETA=56.2min asym=57.491 latest_tel_age=83ms tel_seen=6524
@@ -0,0 +1,73 @@
kind,var,quantile,rep,strength,pre_asym_mean,pre_asym_std,pre_coh_mean,asymmetry_peak_delta,asymmetry_sn,asymmetry_halflife_s,asymmetry_peak_time_s,coherence_peak_delta,coherence_sn,coherence_halflife_s,coherence_peak_time_s,stress_xx_peak_delta,stress_xx_sn,stress_xx_halflife_s,stress_xx_peak_time_s,stress_yy_peak_delta,stress_yy_sn,stress_yy_halflife_s,stress_yy_peak_time_s,stress_xy_peak_delta,stress_xy_sn,stress_xy_halflife_s,stress_xy_peak_time_s,vel_mean_peak_delta,vel_mean_sn,vel_mean_halflife_s,vel_mean_peak_time_s,vorticity_mean_peak_delta,vorticity_mean_sn,vorticity_mean_halflife_s,vorticity_mean_peak_time_s,stress_iso_ratio
variable,signed_flow_usd,q50,1,0.002348711402857934,42.04934166666666,0.1673883593539952,0.6674500000000001,0.31535833333333585,1.883992020415301,0.3117377758026123,3.480001211166382,-0.0014500000000000624,1.913590535433532,0.3117377758026123,3.480001211166382,8.275000000000003e-05,2.4995789179091994,0.27071213722229004,18.671184062957764,-7.725000000000006e-05,3.9995183157789116,0.26984143257141113,20.13902258872986,-6.0208333333333365e-05,3.9419272821393383,0.4597799777984619,7.445645570755005,0.0021820208333333535,1.672258102968197,0.34850239753723145,36.076759576797485,-0.005578562500000002,1.4295857561953362,0.29802656173706055,12.44704532623291,0.9335347432024172
variable,signed_flow_usd,q50,2,0.002348711402857934,42.07202,0.1492598071968624,0.6673911111111112,0.30787999999999727,2.0627120306669484,0.33641743659973145,21.114371061325073,0.001408888888888793,2.042251931681181,0.5140924453735352,9.274940967559814,-9.540000000000004e-05,3.6175833103395445,0.2464160919189453,0.1512441635131836,-8.937777777777764e-05,4.891416804530399,0.440509557723999,30.36517596244812,-8.25111111111111e-05,4.299988952463622,0.6596689224243164,10.634694814682007,-0.002036377777777737,1.5560146274199997,0.5038280487060547,21.450788497924805,-0.005582022222222233,1.439600326677986,0.41817641258239746,2.2804341316223145,0.9368739808991363
variable,mid_price,q50,2,-0.0012794443439905418,42.06927222222222,0.14561527369097946,0.6674388888888887,0.33002777777777936,2.2664365448239643,0.32332420349121094,10.000929355621338,-0.0015388888888886454,2.27684905490196,0.3253293037414551,38.94336462020874,0.00010687037037037034,3.51528067460423,0.334916353225708,35.440420389175415,-8.592592592592587e-05,2.897547177911141,0.33014512062072754,37.43315839767456,-6.283333333333336e-05,3.618593285140659,0.5203413963317871,32.753984212875366,0.0022020555555555543,1.6619231042341525,0.36156630516052246,15.852701425552368,-0.0058665925925926,1.5220312772406228,0.49982404708862305,9.337843179702759,0.8040201005025123
calibration,,,2,-0.5,42.08011129032258,0.15544730473684004,0.667441935483871,-0.6039112903225785,3.8849904238928583,0.9869067668914795,32.53161096572876,0.001658064516129043,2.3489918660798392,0.3733956813812256,18.50197196006775,8.467741935483874e-05,3.4620846786911543,0.34400200843811035,28.353148460388184,-6.577419354838706e-05,2.438703870661316,0.1247868537902832,2.3125064373016357,6.32741935483871e-05,2.5182513650288647,0.39841294288635254,22.413861751556396,0.0021595161290322573,1.651334109696571,0.2769958972930908,3.2389004230499268,-0.005629112903225809,1.4780803139561949,0.38081836700439453,17.243211269378662,0.776761904761904
variable,wallet_entropy,q50,1,-0.013976204230621795,41.729099999999995,0.16710366368995236,0.6678976744186046,0.3068000000000026,1.8359860772965804,0.3278844356536865,33.9002959728241,-0.0013976744186046108,1.8040484568185913,0.48656535148620605,4.865590810775757,9.551162790697674e-05,3.4387434426952543,0.3372061252593994,1.5143988132476807,7.813953488372083e-05,2.718471514473813,0.6618108749389648,24.44347906112671,5.962790697674417e-05,3.373748461887926,0.331540584564209,29.687846899032593,0.0022553023255813542,1.6900487090131737,0.3444788455963135,10.737780809402466,-0.006015441860465123,1.5610292373525072,0.5090725421905518,25.283689737319946,0.8181154127100063
variable,trade_count,q50,0,-0.03126667851076295,41.736798,0.16562065630832393,0.6678779999999997,-0.31009800000000354,1.8723389153990349,0.5294170379638672,24.634698390960693,0.0014220000000002564,1.8586790266851028,0.5294170379638672,24.634698390960693,8.648e-05,3.798211665582969,0.501162052154541,9.635671377182007,-7.318e-05,4.924986743218942,0.4402167797088623,3.987245559692383,6.622000000000003e-05,3.2251766239179727,-2.1584441661834717,38.300026416778564,0.002120519999999987,1.598225238284236,0.32538604736328125,18.967758178710938,0.005629660000000005,1.4675174730522886,0.3331797122955322,26.15682816505432,0.8462072155411656
variable,vwap_drift,q01,0,-0.26166519964334306,41.71607727272727,0.15810614079218568,0.6679295454545454,-0.4523772727272686,2.861225189993551,0.8389828205108643,13.815484285354614,0.0014704545454545803,2.0132915874803095,0.6769275665283203,13.815484285354614,-9.261363636363644e-05,3.9946776295807194,0.5077860355377197,2.844123125076294,-8.768181818181824e-05,4.931858878059803,0.17645549774169922,35.82618951797485,-6.402272727272732e-05,4.051920608284555,0.6934311389923096,16.63261651992798,-0.002189068181818188,1.6914015736469274,0.4886014461517334,15.50940752029419,0.006099613636363636,1.6089671429861299,0.3802506923675537,24.572794914245605,0.9467484662576685
variable,wallet_entropy,q01,1,-0.2179963070460724,41.535703448275854,0.15046608160062933,0.6681689655172413,-0.40630344827585674,2.7002992565080355,0.6610472202301025,21.77044939994812,0.0014310344827587196,2.063884951300517,0.5155227184295654,11.364818811416626,9.343103448275866e-05,3.092518215549887,0.3343985080718994,27.137530088424683,-8.337931034482765e-05,4.337751853232066,0.4850282669067383,29.128214359283447,-6.801724137931033e-05,3.828464500996539,0.48566198348999023,36.94624400138855,-0.0021158965517241446,1.6283683711740824,0.5070137977600098,23.441642999649048,0.005918724137931038,1.5727396513864134,0.4968080520629883,33.10418176651001,0.8924155748293047
variable,trade_count,q50,2,-0.03126667851076295,41.405292857142854,0.1528509192658261,0.668295238095238,-0.3018928571428532,1.9750804155637771,0.368518590927124,3.1681995391845703,-0.001395238095238005,1.9741497193933777,0.3221445083618164,20.65025019645691,8.280952380952395e-05,4.721709761158652,0.3232097625732422,13.239082336425781,-7.011904761904759e-05,2.1493871194651315,0.34706687927246094,37.2989022731781,-6.426190476190469e-05,3.468358138235452,0.20017361640930176,31.519468545913696,-0.0020981904761905035,1.6255012539574858,0.39876437187194824,4.9217915534973145,0.005612357142857148,1.4962961593489805,0.5172748565673828,30.72224712371826,0.8467510063254726
variable,signed_flow_usd,q99,1,0.23925628431353235,41.396831111111105,0.13017678718184647,0.6682888888888889,0.47216888888889486,3.6271358289808844,0.5147812366485596,1.6325247287750244,-0.001588888888888973,2.6592975253366524,0.3506042957305908,1.6325247287750244,-0.00010457777777777785,4.157909044582824,0.2474379539489746,26.442238569259644,-6.948888888888896e-05,2.929981480500606,0.32767200469970703,0.0951225757598877,7.364444444444442e-05,3.739553699876907,0.5157811641693115,9.810204267501831,0.0020617555555556,1.5591559910924144,0.3397512435913086,15.33403205871582,-0.00565488888888889,1.4725337593648415,-2.3062448501586914,11.46019959449768,0.6644708882277945
variable,signed_flow_usd,q01,1,-0.3,41.55951999999999,0.16572802968183242,0.6681355555555556,-0.4596199999999939,2.7733389510656736,-2.0115554332733154,17.67088532447815,0.0014644444444443794,1.921323626720925,0.4999361038208008,9.367170095443726,9.377777777777775e-05,3.7412288435161702,0.3334035873413086,4.817816257476807,6.811111111111113e-05,2.557988741386232,0.5048675537109375,35.67320990562439,7.013333333333335e-05,4.220307481245408,0.33185243606567383,27.060813426971436,-0.002200000000000063,1.6868571805373644,0.4967517852783203,20.872413396835327,0.0059859555555555576,1.5866216684127874,0.49363136291503906,0.2721729278564453,0.7263033175355454
variable,vwap_drift,q01,2,-0.26166519964334306,41.36486666666667,0.1550940700206027,0.6683583333333334,-0.4535666666666742,2.9244616935155707,0.4956982135772705,6.58997106552124,0.0014416666666665634,2.029851019733018,0.4956982135772705,6.58997106552124,7.66833333333334e-05,2.4705518213782236,0.3163630962371826,13.118451118469238,-7.381666666666657e-05,4.333794342955485,0.6801834106445312,17.21621799468994,6.116666666666667e-05,2.7605848241097855,0.16304945945739746,35.21402645111084,-0.002084766666666682,1.5958591406475253,0.4977686405181885,21.213067054748535,0.005747566666666662,1.5031040431837317,0.26875972747802734,9.350291728973389,0.9626168224299045
calibration,,,0,-0.1,41.19110454545454,0.1620645100997885,0.6686136363636364,-0.34590454545454463,2.134363317678619,0.675731897354126,4.014679670333862,0.0013863636363636855,1.8380499057330901,0.5066308975219727,4.014679670333862,-7.418181818181829e-05,2.112310335072193,0.27305054664611816,37.31413650512695,-8.36818181818182e-05,3.430518822812993,0.18169474601745605,24.88645839691162,-5.579545454545453e-05,3.706400411846689,0.36098337173461914,18.208193063735962,-0.0021396818181818045,1.5920384675209363,0.4976787567138672,5.695954084396362,-0.005597159090909087,1.456191193204271,0.25254321098327637,32.92131948471069,0.8864747419880511
variable,vwap_drift,q50,1,-0.0012946417918777676,41.126779069767444,0.1696470488686206,0.6686837209302327,0.28852093023255776,1.700712934039875,0.3515889644622803,5.649873971939087,-0.0013837209302326459,1.7424048370693355,0.3515889644622803,5.649873971939087,7.676744186046504e-05,3.2162430986542576,0.34218335151672363,38.543269634246826,-6.746511627906977e-05,3.482836481732813,0.500556468963623,32.827561378479004,-6.660465116279068e-05,3.1231703486497584,0.4884793758392334,38.62841272354126,0.002259302325581386,1.7470663544766716,0.3242039680480957,29.67457866668701,-0.0060018604651162835,1.5588656175552524,0.5034878253936768,23.08984112739563,0.8788245986064838
variable,wallet_entropy,q99,0,0.3,41.1140976744186,0.16471025792086882,0.668760465116279,0.5428023255813983,3.295498000143834,0.5207076072692871,21.220240116119385,-0.0018604651162789088,2.4045175230724674,0.35805821418762207,21.38288950920105,-7.830232558139532e-05,3.387804013385276,0.3118607997894287,17.85887336730957,6.0674418604651195e-05,1.8756663659798976,0.3714141845703125,12.81676721572876,6.960465116279073e-05,3.355157682847175,0.3556203842163086,5.473284721374512,0.0022436279069767695,1.725063245073657,0.505091667175293,27.08435869216919,-0.005615162790697677,1.4841763292345103,0.5103306770324707,31.100569009780884,0.7748737748737755
variable,mid_price,q01,0,-0.15443057611241517,41.33886666666667,0.15536204026581169,0.6684833333333333,-0.3553666666666686,2.2873455192701218,0.4996509552001953,3.6324033737182617,-0.001483333333333281,2.08173608392094,0.3305213451385498,13.124797344207764,-8.463333333333335e-05,3.1864990957025965,0.3379790782928467,27.819210052490234,6.296666666666666e-05,2.930218027720352,0.9982874393463135,29.831526279449463,7.939999999999998e-05,3.8729096282198086,0.6602489948272705,25.146581172943115,0.0021716333333333393,1.6448166421200283,0.25287938117980957,36.29225134849548,-0.005606333333333342,1.4486357178746854,0.3491506576538086,1.962031364440918,0.7439936983064197
calibration,,,2,0.1,41.235473999999996,0.13748709293602812,0.66863,0.3996260000000049,2.9066437544500876,0.3349001407623291,20.254842519760132,-0.0016299999999999093,2.5184447299319364,0.3604240417480469,9.731741905212402,-9.109999999999999e-05,3.863326867856998,0.3286936283111572,34.918580770492554,-7.483999999999995e-05,3.8833310028376395,0.6576387882232666,10.09216594696045,7.682000000000004e-05,4.721977498514084,0.33370542526245117,31.09867024421692,0.002120960000000005,1.6055607542605557,0.32339906692504883,5.0935399532318115,0.005562120000000004,1.4629899584495516,0.32697463035583496,4.454533815383911,0.8215148188803508
calibration,,,1,0.5,41.34639047619047,0.13242808795994082,0.6683666666666667,0.6888095238095318,5.201385404113778,0.5143301486968994,1.7480320930480957,-0.001966666666666672,3.265561968050395,0.5143301486968994,1.7480320930480957,-0.00012688095238095232,4.544287382945339,0.32208847999572754,0.09715104103088379,-8.054761904761887e-05,5.021073196723921,0.25020408630371094,18.131389379501343,-7.435714285714288e-05,4.2883102079071245,0.4552474021911621,22.857219219207764,0.002122642857142837,1.6359203365015331,0.3283374309539795,7.5615153312683105,-0.005679142857142855,1.5228926959732942,0.504737377166748,1.0816245079040527,0.6348282979921175
variable,mid_price,q99,1,0.16428793257530794,41.71451346153846,0.15498606764783968,0.6678942307692307,0.43588653846153846,2.812424013827892,0.3267955780029297,39.01580476760864,-0.001594230769230709,2.22365516766327,0.3267955780029297,39.01580476760864,9.684615384615374e-05,3.2647984336168667,0.3386719226837158,35.49522089958191,-8.465384615384617e-05,3.3682835769126496,0.4972805976867676,27.01621913909912,6.680769230769232e-05,4.374537772720087,0.3345935344696045,2.0190534591674805,-0.00222057692307695,1.6967091532505947,0.5041594505310059,0.13437342643737793,0.005996653846153846,1.6075106872216887,0.4985082149505615,2.1819117069244385,0.8741064336775229
calibration,,,0,0.5,41.848574468085104,0.142112606636929,0.6676914893617022,0.6835255319148956,4.809745933808496,-0.5016467571258545,0.7746996879577637,-0.0018914893617022477,2.9519736915779116,-0.6348123550415039,0.7746996879577637,8.082978723404264e-05,2.7535275789362044,0.3408198356628418,21.264394283294678,5.6659574468085e-05,2.039713153722181,0.34387969970703125,16.61647367477417,7.28297872340425e-05,3.6829964888836892,0.3247337341308594,9.94512414932251,0.0022008297872340155,1.6564164916464865,0.32661867141723633,13.443379878997803,-0.005820170212765961,1.549589395818098,-2.209017753601074,27.91535234451294,0.7009739405106586
variable,signed_flow_usd,q01,2,-0.3,42.21250714285715,0.1466506480313923,0.6672309523809523,-0.4861071428571506,3.3147289110723444,0.6935794353485107,18.52020502090454,0.0015690476190476366,2.4314694694187176,0.6822795867919922,16.33338212966919,-9.090476190476188e-05,2.8578484770093104,0.3722085952758789,24.321613073349,-7.790476190476194e-05,2.6376977476527808,0.3275442123413086,0.03734564781188965,6.235714285714286e-05,3.061550115752651,0.3396308422088623,21.8583824634552,0.0022509047619047873,1.6718373242391258,0.24886846542358398,23.576759099960327,-0.005993880952380959,1.5592794964838623,0.4873363971710205,33.02710318565369,0.8569931901519127
variable,wallet_entropy,q99,2,0.3,41.98358222222222,0.16889357633846,0.6676288888888888,0.5553177777777805,3.2879745329386156,0.4930727481842041,34.578407287597656,-0.00182888888888888,2.3406955334988093,0.32779645919799805,5.92247200012207,8.851111111111108e-05,4.23274308751137,0.27196383476257324,2.721926689147949,7.073333333333339e-05,4.223640439823064,0.8274064064025879,33.251535177230835,6.768888888888889e-05,3.108642351648444,0.4977431297302246,24.55893898010254,0.0022426222222222125,1.7021223605708942,0.35881495475769043,29.873430252075195,-0.005696666666666666,1.4755356819186893,0.502751350402832,33.913039445877075,0.7991463720813466
variable,signed_flow_usd,q50,0,0.002348711402857934,42.23144561403509,0.15823292964684382,0.6672035087719299,0.3116543859649141,1.969592465111326,0.3282904624938965,21.340449333190918,-0.0014035087719299622,1.9385069505262944,0.2585759162902832,4.08577561378479,-8.656140350877194e-05,2.7049503621560134,0.3280613422393799,38.58082365989685,-8.129824561403502e-05,4.194601385272728,0.33354997634887695,19.696933269500732,6.340350877192982e-05,3.654440886038799,0.501396656036377,32.24850058555603,0.0021844736842105417,1.6307083041868407,0.3243231773376465,37.59150791168213,-0.0057107719298245645,1.4707452651180946,0.26426243782043457,3.5609426498413086,0.939197405755978
variable,wallet_entropy,q50,0,-0.013976204230621795,42.23448409090909,0.1691567897532582,0.6672340909090909,0.31681590909090573,1.87291275480595,0.32827067375183105,23.372411012649536,-0.0015340909090909571,1.9635122606015791,0.32827067375183105,23.372411012649536,-0.00010427272727272726,4.259762925667225,-1.4894256591796875,1.5245184898376465,-9.779545454545452e-05,6.1842396611013015,0.382169246673584,28.670421600341797,-7.204545454545457e-05,3.6704863778613466,0.6545705795288086,13.04793119430542,0.0022690454545454264,1.7580678925457864,0.3309938907623291,0.42539405822753906,-0.005859181818181822,1.5322561729698754,0.5020387172698975,1.706594467163086,0.9378814298169135
variable,vwap_drift,q99,2,0.2724107859133018,42.25089767441861,0.12683404005046092,0.6671651162790698,0.5232023255813871,4.125093905179012,0.5311222076416016,2.11875581741333,-0.0017651162790698338,3.098139838493909,0.3380763530731201,2.11875581741333,0.00010683720930232556,4.933668000859197,0.508232831954956,35.01367712020874,-8.055813953488375e-05,2.446815861497094,0.49065208435058594,39.018665075302124,-5.511627906976742e-05,3.017045316272886,0.3899390697479248,35.28265976905823,-0.0021408139534883908,1.62456393864218,0.4928579330444336,2.6498780250549316,0.005941906976744189,1.569237976541751,0.3650352954864502,4.626705646514893,0.7540269917283418
variable,trade_count,q50,1,-0.03126667851076295,42.46398333333333,0.1334100587281237,0.6668738095238096,-0.30478333333333296,2.284560371526789,0.4965815544128418,37.69120001792908,0.0014261904761904143,2.394372379984324,0.50191330909729,39.67390775680542,9.145238095238097e-05,3.6508421513732396,0.8550264835357666,33.33643674850464,-6.609523809523803e-05,2.6313280858224446,0.12489104270935059,6.233726978302002,7.669047619047618e-05,4.555140888320224,0.49462199211120605,2.0346648693084717,0.002197380952380895,1.688350344085018,0.32563138008117676,13.256226778030396,-0.005876928571428578,1.5574745115229225,0.49141383171081543,17.226022720336914,0.722728456131215
variable,signed_flow_usd,q99,0,0.23925628431353235,42.42293965517242,0.15581441429896414,0.6670137931034482,0.5123603448275773,3.2882730852134228,0.5153992176055908,9.42754054069519,-0.0017137931034482135,2.4478897806568387,0.5153992176055908,9.42754054069519,-9.477586206896543e-05,3.5793670139538594,0.2472209930419922,34.06534385681152,6.224137931034484e-05,2.3112949291465754,0.8335132598876953,21.333208322525024,6.191379310344829e-05,3.641491566764909,0.37531065940856934,32.07885003089905,0.0022168275862068654,1.65462037442308,0.34255385398864746,15.286595344543457,-0.005811689655172408,1.5493374645521687,0.49082303047180176,27.057985305786133,0.6567218482808812
variable,signed_flow_usd,q99,2,0.23925628431353235,42.60103181818181,0.15437430422769619,0.6668204545454546,0.5136681818181899,3.3274202231256633,0.5086069107055664,26.081787109375,-0.0017204545454545528,2.410644659546544,0.3263387680053711,0.764899730682373,7.936363636363631e-05,2.6666093242823146,0.3508737087249756,2.893064498901367,-6.759090909090907e-05,3.9887172596314473,0.3466341495513916,18.198852062225342,-5.706818181818181e-05,2.6960269967428605,0.6324865818023682,9.981207132339478,0.002241681818181823,1.6734030710854073,0.36623668670654297,21.386961221694946,-0.005683681818181817,1.4974418116512045,0.5262064933776855,33.29036855697632,0.8516609392898056
variable,signed_flow_usd,q01,0,-0.3,42.820411904761905,0.17006917808488203,0.6664166666666667,-0.5069119047619068,2.980621829717467,0.6603052616119385,12.792468309402466,0.001583333333333381,2.032878826608706,0.503838062286377,6.519644260406494,8.88571428571428e-05,2.9079711204283094,0.34137678146362305,20.078964710235596,-8.45952380952381e-05,3.883041557372122,0.6620261669158936,24.115764141082764,-5.604761904761901e-05,3.5683053833470466,0.28932738304138184,15.641886711120605,0.002226714285714304,1.6572439433733601,0.36083459854125977,29.425859451293945,-0.005953261904761899,1.528295286353803,0.4927654266357422,33.45795702934265,0.9520364415862815
calibration,,,0,0.25,42.57321666666667,0.16552660110871323,0.66685,0.5346833333333336,3.2301958099300827,0.49646782875061035,33.74837946891785,-0.0018500000000000183,2.4369343527175156,0.49646782875061035,33.74837946891785,-9.290476190476182e-05,3.9730455266436846,0.3266315460205078,1.5879690647125244,-9.607142857142865e-05,6.327958034065235,0.35287904739379883,32.24063181877136,-6.776190476190472e-05,3.1648567922194326,0.25307202339172363,39.325095415115356,0.00224161904761902,1.7466596143573143,0.25196385383605957,38.94743227958679,0.005553357142857141,1.4771204590771552,0.47237229347229004,36.235506772994995,0.9670384138785608
calibration,,,1,-0.25,42.799016417910444,0.15205828379522998,0.6664626865671641,-0.45761641791044383,3.0094803550899942,0.6805217266082764,29.735915184020996,0.0015373134328359184,2.223880407425976,0.5008161067962646,22.045663118362427,9.085074626865686e-05,4.082113967452792,0.8228650093078613,37.87833309173584,-7.741791044776122e-05,2.5567456975646676,0.34302473068237305,39.852888345718384,5.9970149253731346e-05,3.2895198160329677,0.6945490837097168,16.78985571861267,-0.0021423283582089336,1.6145359215867714,0.49051475524902344,31.412715673446655,0.0056875522388059666,1.5005033277311288,0.513178825378418,22.86259412765503,0.8521439132577614
variable,mid_price,q99,0,0.16428793257530794,42.621274418604656,0.15892652696607693,0.6667023255813953,0.4329255813953452,2.724061172542666,0.49526548385620117,1.698652982711792,-0.0016023255813952808,2.2325459627492807,0.272113561630249,21.101546049118042,9.486046511627915e-05,5.498303340350042,0.33365678787231445,0.9415743350982666,-6.05348837209302e-05,2.67731484931064,0.33736228942871094,4.383643388748169,6.890697674418605e-05,3.8387012822622117,0.656806468963623,24.80904793739319,-0.002186302325581424,1.6774700374983926,0.3717193603515625,16.572526693344116,0.006055279069767432,1.578549787030373,0.3248295783996582,4.222764730453491,0.6381466045599403
variable,large_print_cnt,q50,0,-0.031214341021100704,42.76831162790698,0.1374544274741036,0.666479069767442,-0.31041162790697996,2.2582875911033238,0.5036659240722656,10.414268493652344,-0.0014790697674419429,2.386899086163614,0.32610464096069336,38.22054314613342,-0.00010483720930232557,4.442200798375172,-2.1428656578063965,37.18785858154297,-6.674418604651162e-05,2.9882153447309725,0.3285238742828369,0.14542412757873535,5.744186046511627e-05,3.152023359627365,0.4912838935852051,34.735793352127075,0.0021617209302325358,1.6484111569628104,0.32513928413391113,7.538972616195679,-0.005827000000000002,1.5477846901013903,0.4893069267272949,19.23682165145874,0.6366459627329193
variable,vwap_drift,q99,0,0.2724107859133018,42.74307142857143,0.1496024740941872,0.6665464285714285,0.5060285714285655,3.382487986862961,0.3388211727142334,36.560590744018555,-0.0017464285714285932,2.588098694616804,0.32880067825317383,25.999507427215576,-8.194642857142862e-05,2.5128017362385227,0.3339719772338867,31.050703287124634,-8.626785714285713e-05,5.031399131076803,0.24886155128479004,17.23580574989319,-6.601785714285718e-05,3.044888503499328,0.6715376377105713,13.618391513824463,0.002257732142857155,1.703474456887288,0.3261253833770752,15.115758895874023,-0.0058709285714285755,1.5422942388662013,0.49590182304382324,25.338244438171387,0.9499068515835238
variable,trade_count,q01,0,-0.088515861594095,42.94770338983051,0.15697157787222377,0.6662949152542371,-0.3608033898305081,2.2985268716875944,0.7429890632629395,18.754427909851074,0.0014050847457628413,1.9578259233439532,0.4987506866455078,8.156275510787964,8.028813559322033e-05,2.619369138700864,1.0140371322631836,12.171675682067871,-8.77966101694915e-05,3.577337829280496,0.2726106643676758,22.664849519729614,-6.277966101694911e-05,3.933881924527794,0.3445718288421631,29.912949085235596,0.002211135593220337,1.7063093118001935,0.32399773597717285,29.424805402755737,-0.005838661016949149,1.5488001265398137,0.33725452423095703,33.435051918029785,0.9144787644787646
variable,large_print_cnt,q01,0,-0.03959941549062887,42.887026666666664,0.1669449016225946,0.6663866666666667,0.289673333333333,1.7351433348242373,0.3265700340270996,33.6032919883728,-0.0014866666666666362,1.9682941823208548,0.362717866897583,4.98370885848999,-8.91111111111111e-05,3.800444259212866,0.33701419830322266,1.3156614303588867,-8.266666666666665e-05,3.696637147433691,0.5112807750701904,32.06152296066284,-6.666666666666667e-05,2.944234357191925,0.49344372749328613,37.939414262771606,0.0022047999999999512,1.666023995693764,0.3302650451660156,28.94991374015808,-0.005938577777777777,1.5713817875421925,0.48658084869384766,25.16300106048584,0.9276807980049875
variable,trade_count,q01,2,-0.088515861594095,42.865404444444444,0.1720236468958791,0.6664222222222222,-0.32390444444444455,1.8829065090132318,0.5049540996551514,35.46235489845276,-0.0014222222222222136,1.8443727446913616,0.3544657230377197,13.596254825592041,8.362222222222206e-05,3.1937161204061923,0.6478803157806396,36.89742946624756,7.051111111111108e-05,2.3655100590371747,0.33945274353027344,22.45986294746399,6.724444444444446e-05,3.8323944173397213,0.32775092124938965,6.061629772186279,0.0021817111111110954,1.6605695207410704,0.5038700103759766,29.78173589706421,0.005618800000000007,1.449635662399879,0.4924650192260742,26.474385261535645,0.8432102046239714
variable,wallet_entropy,q01,0,-0.2179963070460724,42.80558837209303,0.17098232223231305,0.6665325581395349,-0.40408837209302817,2.363334213837585,0.4946713447570801,24.786481142044067,0.0013674418604651128,1.744707268068506,0.4530603885650635,33.123305797576904,0.00011676744186046503,5.446833798435247,0.32772183418273926,1.8037049770355225,7.104651162790699e-05,3.323846392002077,0.2731046676635742,30.945846796035767,8.055813953488373e-05,4.590467835411564,0.26207923889160156,24.397000551223755,0.00228860465116279,1.753999445056667,0.5001556873321533,37.857858657836914,-0.005912581395348834,1.546479516130054,0.3336756229400635,4.634178161621094,0.608444532961562
calibration,,,1,0.1,42.669401639344265,0.15902857923563957,0.6666590163934426,0.3813983606557372,2.398300748764174,0.340317964553833,13.265605926513672,-0.0015590163934425805,2.185254357506519,0.340317964553833,13.265605926513672,-9.447540983606537e-05,3.6214297603681835,0.3194406032562256,38.46589541435242,-7.506557377049165e-05,3.6885606102665442,0.3644888401031494,11.729790687561035,6.670491803278695e-05,3.666825402553297,0.16050243377685547,31.886727809906006,0.0021613770491803186,1.6539088363598955,0.3276848793029785,8.5685396194458,-0.005615196721311475,1.4658070817514222,0.3320341110229492,12.596537590026855,0.7945514488981434
variable,large_print_cnt,q50,2,-0.031214341021100704,42.747600000000006,0.16892579238628205,0.6665809523809524,0.3059999999999974,1.8114462905715913,0.32756710052490234,21.685353755950928,-0.0014809523809523606,1.9124796152185408,0.3426682949066162,11.08468747138977,-9.269047619047625e-05,3.797889728829026,0.3461768627166748,3.206967830657959,-7.590476190476195e-05,4.834455608961453,0.3570694923400879,20.32236957550049,-7.761904761904761e-05,4.3125013251359015,0.3730895519256592,28.00623345375061,0.0021916190476190256,1.7299314521548497,0.33454298973083496,0.17956948280334473,0.005676500000000001,1.5087183259956773,0.253420352935791,4.356039047241211,0.8189057282301566
calibration,,,2,0.25,42.75018333333334,0.13391470795971755,0.6665142857142856,0.5164166666666574,3.8563102928320543,0.5158941745758057,1.6096692085266113,-0.0017142857142856682,2.90644100164611,0.5158941745758057,1.6096692085266113,0.00011790476190476194,4.101035548271522,0.26923108100891113,35.888710260391235,-6.809523809523808e-05,2.524205972165596,0.7425000667572021,30.796905040740967,-7.895238095238097e-05,4.407361616269866,0.3840506076812744,33.7885046005249,0.002205357142857106,1.6936128809289375,0.34028029441833496,7.43314528465271,-0.005895190476190481,1.562616861878973,-2.1893157958984375,11.377814769744873,0.5775444264943455
variable,large_print_cnt,q50,1,-0.031214341021100704,42.913130232558146,0.1566868310978333,0.6664139534883722,0.33266976744185683,2.1231507786008,0.34748363494873047,27.575251579284668,-0.0015139534883721328,2.1761745877586596,0.34748363494873047,27.575251579284668,7.972093023255822e-05,2.8071328331108636,0.49154162406921387,32.60307216644287,5.41395348837209e-05,2.4260979946261427,-2.3660552501678467,18.21493363380432,6.648837209302327e-05,2.600144073283804,0.33767271041870117,11.566372156143188,0.0022745813953488347,1.7062276575712627,0.34378910064697266,15.098592758178711,-0.005750627906976748,1.5251419237853554,0.49014711380004883,26.904680728912354,0.6791131855309207
variable,mid_price,q50,0,-0.0012794443439905418,42.92760819672132,0.15219278897103142,0.666311475409836,0.32259180327867654,2.1196260707205985,0.32875847816467285,35.54295516014099,-0.0015114754098360939,2.202718059596387,0.32875847816467285,35.54295516014099,-8.027868852459024e-05,3.2801314025079398,0.4918704032897949,24.015289783477783,6.452459016393448e-05,2.476997695410272,0.3392341136932373,23.478472471237183,6.445901639344262e-05,3.13945369189814,0.3742649555206299,9.397039651870728,0.002181704918032795,1.667047974899569,0.32373642921447754,23.01477813720703,-0.005583377049180334,1.4517098834254751,0.5156142711639404,34.85372614860535,0.8037574024913211
variable,large_print_cnt,q99,0,0.3,42.9080159090909,0.15552748214205195,0.6664272727272728,0.5707840909091004,3.669988628683459,0.36849331855773926,34.75746297836304,-0.0019272727272727774,2.7527825011984723,0.33096885681152344,6.23530912399292,8.363636363636353e-05,2.9127199062977995,0.4980733394622803,13.052539825439453,6.461363636363641e-05,3.1075455513215506,0.8366153240203857,28.407851934432983,-6.520454545454543e-05,2.9889908923066373,0.5017538070678711,2.771885871887207,0.002119477272727266,1.600379632529813,0.3287680149078369,30.122992038726807,0.005916454545454548,1.558833914954058,0.49663329124450684,29.56837749481201,0.7725543478260886
variable,wallet_entropy,q01,2,-0.2179963070460724,43.16937045454545,0.1730892604456199,0.665990909090909,-0.4259704545454497,2.4609872007586424,0.4992220401763916,36.0899760723114,0.0015090909090910154,1.9216129461752693,0.4936869144439697,25.615560054779053,-8.211363636363624e-05,3.2187123916337734,0.33746957778930664,39.151336431503296,-7.688636363636361e-05,3.5495573075463778,0.3637425899505615,23.083402395248413,-5.656818181818185e-05,4.299445140610909,0.3293771743774414,16.412282705307007,-0.002155772727272798,1.650007391733322,0.49399447441101074,35.59598159790039,0.006109590909090908,1.6043555945464085,0.49535560607910156,37.585928201675415,0.9363409908663172
variable,vwap_drift,q50,2,-0.0012946417918777676,43.02346888888889,0.16775499704062086,0.666171111111111,0.3032311111111099,1.8075831805933287,0.24718689918518066,15.903647184371948,-0.0014711111111110897,1.9036984035285278,0.24718689918518066,15.903647184371948,-9.675555555555568e-05,3.5491229160900493,0.33594417572021484,2.021709442138672,-0.0001005111111111111,5.602958278750203,0.5032405853271484,30.289700508117676,-6.891111111111115e-05,3.566102054080199,0.3712589740753174,16.027855157852173,0.002146288888888903,1.6245594624559758,0.32395029067993164,0.8795468807220459,-0.005858711111111109,1.5285013304625583,0.49215221405029297,4.880737781524658,0.9626354189697117
calibration,,,1,-0.1,43.004272881355945,0.1554136686946213,0.6662881355932204,-0.31027288135594233,1.9964323856584985,0.5073409080505371,30.33994698524475,-0.0013881355932203743,1.9916222133202393,0.3247029781341553,2.649740219116211,9.244067796610172e-05,3.3598308011934956,0.6936604976654053,25.978879928588867,-6.471186440677973e-05,2.109905619295835,0.33748602867126465,30.165664196014404,-5.916949152542369e-05,3.249978149469141,0.33030128479003906,31.87452244758606,0.0021907118644067802,1.6674252645682899,0.3260061740875244,18.977399349212646,-0.005606152542372882,1.4477353734014702,0.48706984519958496,12.51001501083374,0.7000366703337005
calibration,,,2,0.5,42.97352909090908,0.1590356274238027,0.6662236363636364,0.68257090909092,4.29193709703792,0.5109560489654541,3.233977794647217,-0.0019236363636363496,2.7057496181710214,0.326674222946167,3.418259620666504,0.00015101818181818182,8.492265444587606,0.28959155082702637,0.06719422340393066,6.405454545454548e-05,2.2213512153548987,0.6629269123077393,18.296894073486328,6.77454545454546e-05,3.211217113203079,0.4942817687988281,11.476470232009888,0.0022310363636363906,1.70869654917053,0.32471537590026855,6.350888967514038,-0.005905509090909096,1.5367130702776208,0.4920952320098877,20.78262972831726,0.4241512159884423
calibration,,,0,-0.25,43.32065714285714,0.14807472396581092,0.6658714285714286,-0.42825714285713445,2.892169111562991,0.37448978424072266,21.533843755722046,0.0014285714285714457,2.1794131485205965,0.37423133850097656,19.91745400428772,-8.500000000000011e-05,2.843279643375727,0.5164570808410645,36.77725028991699,-7.080952380952377e-05,3.364218953320638,0.3288102149963379,3.5970942974090576,6.457142857142856e-05,3.539721998312409,0.5067081451416016,34.277738094329834,0.002262619047619041,1.7639462686725529,0.34467029571533203,16.51586151123047,-0.005639333333333333,1.5163490132439457,0.48925352096557617,29.27896475791931,0.8330532212885138
variable,trade_count,q99,1,0.3,43.165222916666664,0.1498332687795327,0.6660083333333333,0.5536770833333335,3.6952880214341697,0.5133321285247803,19.10912585258484,-0.0018083333333333007,2.6996649204219088,0.5133321285247803,19.10912585258484,6.910416666666664e-05,2.028850156494193,0.6617047786712646,5.982085227966309,-7.316666666666669e-05,3.146488586397479,0.32548069953918457,19.786580085754395,-6.777083333333334e-05,3.660562023619812,0.32717108726501465,1.267606496810913,0.0023146041666666783,1.7780846251184765,0.3340604305267334,35.53241777420044,-0.006061479166666665,1.6185088139761394,0.4898240566253662,39.53914475440979,0.9444760820045551
variable,vwap_drift,q50,0,-0.0012946417918777676,43.40645238095238,0.14981116723283466,0.6656571428571428,0.3240476190476187,2.1630404797793736,0.33624839782714844,38.45911526679993,-0.0014571428571428235,2.1871095710690547,0.33624839782714844,38.45911526679993,-8.523809523809515e-05,3.2631597002687087,0.3270583152770996,8.056299686431885,-8.909523809523816e-05,5.07557012123811,0.3257558345794678,26.427141189575195,-8.290476190476187e-05,4.802233315930595,0.3343780040740967,22.468092918395996,0.002295690476190493,1.7817119163571602,0.33789610862731934,33.7885217666626,-0.0059970714285714315,1.555613653913005,0.5226106643676758,37.76060223579407,0.9567076429716712
calibration,,,0,0.1,43.420639534883726,0.13729852069789497,0.6656325581395349,0.39376046511627294,2.8679148407045436,0.3604090213775635,20.094597816467285,-0.0016325581395348898,2.656956929227141,0.3604090213775635,20.094597816467285,0.00010495348837209306,4.783974696423268,0.43909597396850586,35.505768060684204,-7.513953488372087e-05,2.451716809861886,0.3289916515350342,34.64431881904602,-5.2883720930232573e-05,3.4701747807994274,0.12945818901062012,30.257359266281128,0.0020637906976744558,1.5796541414904504,0.33088159561157227,7.71380877494812,-0.005675837209302332,1.5136869919938236,0.3231089115142822,1.16682767868042,0.7159317527143798
variable,mid_price,q01,1,-0.15443057611241517,43.48365227272728,0.15514232833204852,0.6656363636363637,-0.3713522727272789,2.3936231763421767,0.5002322196960449,8.251256704330444,-0.001536363636363669,2.2290937022639574,0.32653284072875977,27.6833393573761,-8.511363636363632e-05,3.6772511264238625,0.32347965240478516,13.523254871368408,6.897727272727296e-05,2.828387975016274,1.0163092613220215,17.4820613861084,6.763636363636363e-05,2.791749754042238,1.0081634521484375,21.33332347869873,0.0022523181818182025,1.6924275491026046,0.36754584312438965,4.724889516830444,-0.005969409090909098,1.5789969570015299,0.5069785118103027,8.75148892402649,0.8104138851802435
variable,mid_price,q50,1,-0.0012794443439905418,43.36416271186441,0.15056446887483427,0.6658406779661018,0.35633728813559173,2.366675821981735,0.3349590301513672,17.303173065185547,-0.0015406779661018,2.2953081806067064,0.3349590301513672,17.303173065185547,-7.330508474576256e-05,2.975797522568685,0.4909989833831787,31.98553156852722,5.979661016949152e-05,2.2657693152961156,0.29333949089050293,12.634613275527954,6.0898305084745754e-05,3.320149432975367,0.8453419208526611,29.302236080169678,0.0021422033898305104,1.6292108529539862,0.3216555118560791,4.189035177230835,0.005700847457627122,1.4728822798557308,0.33463382720947266,0.8455615043640137,0.8157225433526027
variable,mid_price,q01,2,-0.15443057611241517,43.388490476190476,0.16193916525235755,0.6657595238095237,-0.36729047619047606,2.2680768770056936,0.5061557292938232,18.068397283554077,-0.001559523809523733,2.137318250907678,0.3472728729248047,27.573983669281006,-8.266666666666654e-05,2.999418325526728,,40.00116038322449,-7.338095238095237e-05,4.622149602702458,0.5184814929962158,17.54991579055786,-6.07380952380952e-05,2.906754942095864,0.5088095664978027,10.879587411880493,0.002211261904761924,1.659260568366242,0.3272831439971924,12.388981342315674,-0.0056327142857142826,1.5133565847310095,0.3267357349395752,26.9213228225708,0.887672811059909
calibration,,,2,-0.1,43.28410930232558,0.17209715321882835,0.6659093023255813,-0.3351093023255842,1.947210026765983,0.520693302154541,13.494155883789062,-0.0014093023255813408,1.8083510640338212,0.3528621196746826,7.02449107170105,-8.513953488372078e-05,2.424741532733406,0.3275771141052246,38.09148955345154,-8.51162790697675e-05,4.041301042796453,0.32320713996887207,37.59461164474487,-6.597674418604648e-05,5.313759082536441,0.5163638591766357,19.011407613754272,0.0021370000000000278,1.643811386935711,0.3570852279663086,31.103293657302856,0.005692255813953488,1.497370577440291,0.32773876190185547,17.18642234802246,0.9997268505872736
variable,mid_price,q99,2,0.16428793257530794,43.234119047619046,0.17266314884920198,0.6659261904761904,0.44988095238095127,2.605541225092922,0.4935727119445801,32.95500326156616,-0.0017261904761903812,2.1871804229082117,0.33367300033569336,6.595964193344116,-8.945238095238103e-05,4.004973181187848,0.3326284885406494,2.9270284175872803,-8.54047619047618e-05,4.067319563235588,0.334367036819458,31.45186948776245,-7.726190476190476e-05,3.583841753887845,0.3231947422027588,39.271828174591064,-0.0021937619047619206,1.6544515521535668,-2.3451695442199707,16.541462182998657,0.006015857142857139,1.5505430371225848,0.5162544250488281,24.986872673034668,0.9547511312217174
variable,large_print_cnt,q99,2,0.3,43.369503448275864,0.15604717121204664,0.6657293103448274,0.5500965517241383,3.5251940003233555,0.49407124519348145,21.988901615142822,-0.0018293103448273618,2.6206799348851058,0.3486206531524658,3.7284791469573975,7.508620689655168e-05,3.411274013486683,0.5061213970184326,37.95692682266235,-5.7000000000000084e-05,1.85370290014693,0.37672901153564453,39.33037304878235,7.260344827586206e-05,4.293665231878527,0.31978869438171387,18.523899793624878,-0.0020584827586206944,1.5476532861835752,0.48940181732177734,22.482972860336304,0.0055881551724137925,1.4448518673833213,0.3448915481567383,34.9853994846344,0.7591274397244562
calibration,,,0,-0.5,43.59383653846154,0.16225209258914416,0.6654692307692307,-0.6232365384615406,3.8411617903733566,0.8482840061187744,39.16132950782776,0.0016307692307693245,2.248585510557819,0.6634750366210938,10.495976448059082,8.288461538461542e-05,4.404632643844039,0.4999058246612549,10.158646821975708,6.31346153846154e-05,2.446838567347802,0.34610629081726074,28.314684867858887,7.917307692307691e-05,4.2962614545505575,0.8384890556335449,26.3736891746521,0.0021650769230769362,1.6687374037866713,0.32704663276672363,35.65019464492798,-0.005710038461538464,1.490339225314867,0.32666850090026855,3.2061266899108887,0.7617169373549882
variable,large_print_cnt,q01,1,-0.03959941549062887,43.237446511627915,0.15187219588581688,0.6658976744186047,0.2998534883720865,1.974380409943683,0.32805705070495605,11.385520935058594,-0.0013976744186047219,2.091121130837745,0.3242049217224121,3.4123775959014893,-8.38139534883721e-05,3.223807041694191,0.4914407730102539,36.90829133987427,-6.925581395348832e-05,3.6962117721517154,0.32810497283935547,11.878418684005737,7.081395348837216e-05,3.8374725364229074,0.2631101608276367,20.910568952560425,0.002266860465116316,1.7588623440337605,0.36124491691589355,9.339450359344482,-0.006056697674418604,1.588266877137826,0.5155954360961914,10.695983648300171,0.826304106548279
variable,trade_count,q01,1,-0.088515861594095,43.20843111111111,0.13654605217812824,0.6659933333333333,-0.32983111111111185,2.415530188165658,0.5063984394073486,12.369695901870728,-0.0014933333333333465,2.5163774512246833,0.5050783157348633,0.7769289016723633,8.600000000000003e-05,3.300215083221588,0.3253214359283447,15.635671138763428,-7.486666666666657e-05,4.31521106899797,0.16126394271850586,17.76766276359558,-7.402222222222221e-05,3.922560564458219,0.33669233322143555,25.49027419090271,0.002277888888888857,1.7485507810870342,0.3291325569152832,6.640698432922363,-0.005796866666666664,1.526442841555507,0.3708052635192871,18.435697078704834,0.8705426356589133
variable,large_print_cnt,q01,2,-0.03959941549062887,43.16453333333333,0.16205863575330448,0.6660186666666666,0.29716666666666924,1.8336984344298346,0.33504366874694824,36.64319562911987,-0.0015186666666666682,2.1056374427247584,0.33504366874694824,36.64319562911987,8.730666666666674e-05,3.049378247751442,0.677588701248169,23.234666109085083,-7.798666666666669e-05,3.135765277074764,0.3274259567260742,24.553379774093628,-6.644e-05,3.682899669474907,0.5051424503326416,30.434715032577515,0.002113066666666663,1.6074634286180511,0.3549785614013672,24.074347257614136,0.00561410666666666,1.4701322561594576,0.4073219299316406,0.14199590682983398,0.8932498472816122
variable,vwap_drift,q01,1,-0.26166519964334306,43.141958139534886,0.14841625347047804,0.6660581395348836,-0.44855813953488877,3.022297956228311,0.6848618984222412,5.756773471832275,0.0015418604651163959,2.3428000628428016,0.5197827816009521,5.9218525886535645,8.939534883720937e-05,3.039480787109755,-2.0864310264587402,31.13541316986084,-6.820930232558152e-05,2.7013620168317454,0.3340580463409424,2.00722336769104,6.216279069767448e-05,2.439628312538963,0.32488012313842773,1.5199530124664307,0.0022368837209302828,1.6884310970533167,0.3606131076812744,12.817188262939453,-0.005970372093023257,1.5694754686833445,0.39946842193603516,26.32192873954773,0.7630072840790851
calibration,,,2,-0.25,42.96079318181818,0.17311566600729303,0.6662931818181819,-0.442493181818179,2.556055104796452,0.6924862861633301,8.19718885421753,0.0015068181818180815,1.9398656705120523,0.5054588317871094,8.19718885421753,8.861363636363635e-05,3.3148877979548264,0.680931806564331,38.359779357910156,6.465909090909092e-05,2.1878693403690916,0.667776346206665,12.022655248641968,6.443181818181819e-05,3.5225817915848108,0.3641993999481201,7.6683878898620605,0.002246909090909077,1.6999735453351466,0.33736729621887207,20.86879563331604,-0.005757181818181821,1.5010819465406489,0.5026006698608398,24.86199688911438,0.7296742754552451
variable,large_print_cnt,q99,1,0.3,42.78250952380953,0.1763328465330268,0.6665619047619048,0.5452904761904733,3.0923930901798347,0.3234684467315674,15.41738510131836,-0.0017619047619048533,2.2198312992317586,0.2682628631591797,5.389307022094727,0.00010638095238095242,5.01990785573608,0.25298428535461426,2.6703436374664307,7.29523809523809e-05,3.574340423704452,0.3482828140258789,31.972611665725708,6.533333333333334e-05,3.1718579969994822,0.5125608444213867,25.29859757423401,0.0021532380952380414,1.6434934035880682,0.33514952659606934,28.807939529418945,0.005776333333333335,1.5314628509466612,0.519118070602417,25.463255405426025,0.6857654431512974
variable,trade_count,q99,0,0.3,43.03154666666667,0.1578363609002126,0.66614,0.5361533333333313,3.396893657934108,0.4055304527282715,31.234514951705933,-0.0017399999999999638,2.4532198912070875,0.32068347930908203,4.0032734870910645,-8.698333333333327e-05,3.007812381205138,0.4935002326965332,37.57001805305481,-8.209999999999999e-05,4.239305478667198,0.49419188499450684,12.905421018600464,-6.125e-05,4.129278647128351,0.4970707893371582,6.170523405075073,-0.002070650000000007,1.5946294281782485,0.4107246398925781,31.640045404434204,0.005808816666666664,1.5361296136246292,0.45032262802124023,33.32970690727234,0.9438589768154825
calibration,,,1,0.25,43.25806511627906,0.16131700249742434,0.6658651162790697,0.5150348837209364,3.192688159012623,0.5001211166381836,12.587418556213379,-0.0017651162790697228,2.448998785765194,0.33619046211242676,12.587418556213379,-9.797674418604639e-05,4.42372676338468,0.33632349967956543,3.1125800609588623,-8.323255813953495e-05,5.051106001273122,0.8162403106689453,23.48015594482422,-7.655813953488371e-05,4.520255483817399,0.6540367603302002,12.757610559463501,-0.0021232558139535063,1.6292719337843378,0.5175302028656006,6.658677339553833,0.0060176511627907,1.5659834934892771,0.3386406898498535,4.471278429031372,0.849513410871115
variable,wallet_entropy,q99,1,0.3,43.44282619047619,0.1673780921824315,0.6656761904761905,0.5723738095238105,3.4196459169815325,0.3723571300506592,4.573625087738037,-0.0018761904761905868,2.5127162663018656,0.2710282802581787,9.843161582946777,0.00010730952380952379,5.052611206308217,0.3269989490509033,37.14578723907471,-8.50714285714286e-05,3.2361143551901885,0.332287073135376,39.151161909103394,-7.690476190476192e-05,3.5567683293564714,0.5084197521209717,19.99749255180359,0.0020915952380952674,1.6657475752539679,0.3255748748779297,15.172344207763672,0.005873595238095233,1.5427168317139992,0.2630650997161865,6.429233074188232,0.7927668071888179
variable,vwap_drift,q99,1,0.2724107859133018,43.64945454545455,0.1352907969969356,0.6654886363636364,0.5769454545454451,4.2644841138641025,0.4900188446044922,29.315115928649902,-0.0019886363636364424,3.3436180768248422,0.3262362480163574,29.315115928649902,0.0001021136363636364,4.109696661116454,0.6291234493255615,33.798929929733276,-6.656818181818174e-05,2.6940227838653867,0.2644963264465332,37.036776304244995,7.588636363636367e-05,3.5348655295251077,0.6784398555755615,15.370400428771973,0.002222204545454576,1.684806016231409,0.33300328254699707,6.374955415725708,0.0056668863636363635,1.4994873187125504,0.49021267890930176,3.05297589302063,0.6519029601602483
variable,trade_count,q99,2,0.3,43.89999516129033,0.15886279678512924,0.6650612903225805,0.5712048387096758,3.5955859412588715,0.5165712833404541,37.018596172332764,-0.0018612903225805333,2.637922743682561,0.3545238971710205,37.018596172332764,-8.053225806451618e-05,3.2406906962187025,0.3443741798400879,33.52177715301514,6.943548387096767e-05,2.810868523327682,1.0071372985839844,26.88061261177063,5.7080645161290266e-05,3.293906328796136,0.4917018413543701,18.88643717765808,0.002099838709677393,1.6054313563250802,0.325120210647583,24.552430629730225,0.0056995645161290395,1.5057004200636224,0.33100366592407227,21.219740390777588,0.8622070899258949
variable,wallet_entropy,q50,2,-0.013976204230621795,44.12879999999999,0.13748588672157963,0.6647785714285714,0.3247000000000071,2.361696954812181,0.43280935287475586,16.850544691085815,-0.0014785714285714402,2.452094928872698,0.3246617317199707,0.4174976348876953,6.488095238095244e-05,1.85409460529831,0.345989465713501,4.524056911468506,-7.104761904761902e-05,3.247871076207393,0.4936690330505371,6.537446975708008,-7.276190476190476e-05,4.434484286652813,0.37349748611450195,12.013832330703735,-0.0021190000000000098,1.5862018412132557,0.5079777240753174,31.847420692443848,0.006077499999999996,1.5850884323959311,0.46169257164001465,19.10188865661621,0.9132037533512076
calibration,,,1,-0.5,44.15313023255814,0.17029151139570747,0.6646906976744186,-0.6587302325581419,3.86825054965568,0.6796886920928955,9.092525959014893,0.0018093023255814078,2.3645559636681917,0.6796886920928955,9.092525959014893,9.453488372093016e-05,3.190030359885542,0.6562888622283936,2.789522171020508,-7.825581395348833e-05,3.943846247645031,0.3236548900604248,14.615617990493774,-6.216279069767446e-05,3.927893398312571,0.66184401512146,20.3100266456604,-0.0021608604651162933,1.6198366889278668,0.5050246715545654,16.43703031539917,0.0057361627906976735,1.5105088932530335,0.4968986511230469,28.972779512405396,0.8277982779827799
1 kind var quantile rep strength pre_asym_mean pre_asym_std pre_coh_mean asymmetry_peak_delta asymmetry_sn asymmetry_halflife_s asymmetry_peak_time_s coherence_peak_delta coherence_sn coherence_halflife_s coherence_peak_time_s stress_xx_peak_delta stress_xx_sn stress_xx_halflife_s stress_xx_peak_time_s stress_yy_peak_delta stress_yy_sn stress_yy_halflife_s stress_yy_peak_time_s stress_xy_peak_delta stress_xy_sn stress_xy_halflife_s stress_xy_peak_time_s vel_mean_peak_delta vel_mean_sn vel_mean_halflife_s vel_mean_peak_time_s vorticity_mean_peak_delta vorticity_mean_sn vorticity_mean_halflife_s vorticity_mean_peak_time_s stress_iso_ratio
2 variable signed_flow_usd q50 1 0.002348711402857934 42.04934166666666 0.1673883593539952 0.6674500000000001 0.31535833333333585 1.883992020415301 0.3117377758026123 3.480001211166382 -0.0014500000000000624 1.913590535433532 0.3117377758026123 3.480001211166382 8.275000000000003e-05 2.4995789179091994 0.27071213722229004 18.671184062957764 -7.725000000000006e-05 3.9995183157789116 0.26984143257141113 20.13902258872986 -6.0208333333333365e-05 3.9419272821393383 0.4597799777984619 7.445645570755005 0.0021820208333333535 1.672258102968197 0.34850239753723145 36.076759576797485 -0.005578562500000002 1.4295857561953362 0.29802656173706055 12.44704532623291 0.9335347432024172
3 variable signed_flow_usd q50 2 0.002348711402857934 42.07202 0.1492598071968624 0.6673911111111112 0.30787999999999727 2.0627120306669484 0.33641743659973145 21.114371061325073 0.001408888888888793 2.042251931681181 0.5140924453735352 9.274940967559814 -9.540000000000004e-05 3.6175833103395445 0.2464160919189453 0.1512441635131836 -8.937777777777764e-05 4.891416804530399 0.440509557723999 30.36517596244812 -8.25111111111111e-05 4.299988952463622 0.6596689224243164 10.634694814682007 -0.002036377777777737 1.5560146274199997 0.5038280487060547 21.450788497924805 -0.005582022222222233 1.439600326677986 0.41817641258239746 2.2804341316223145 0.9368739808991363
4 variable mid_price q50 2 -0.0012794443439905418 42.06927222222222 0.14561527369097946 0.6674388888888887 0.33002777777777936 2.2664365448239643 0.32332420349121094 10.000929355621338 -0.0015388888888886454 2.27684905490196 0.3253293037414551 38.94336462020874 0.00010687037037037034 3.51528067460423 0.334916353225708 35.440420389175415 -8.592592592592587e-05 2.897547177911141 0.33014512062072754 37.43315839767456 -6.283333333333336e-05 3.618593285140659 0.5203413963317871 32.753984212875366 0.0022020555555555543 1.6619231042341525 0.36156630516052246 15.852701425552368 -0.0058665925925926 1.5220312772406228 0.49982404708862305 9.337843179702759 0.8040201005025123
5 calibration 2 -0.5 42.08011129032258 0.15544730473684004 0.667441935483871 -0.6039112903225785 3.8849904238928583 0.9869067668914795 32.53161096572876 0.001658064516129043 2.3489918660798392 0.3733956813812256 18.50197196006775 8.467741935483874e-05 3.4620846786911543 0.34400200843811035 28.353148460388184 -6.577419354838706e-05 2.438703870661316 0.1247868537902832 2.3125064373016357 6.32741935483871e-05 2.5182513650288647 0.39841294288635254 22.413861751556396 0.0021595161290322573 1.651334109696571 0.2769958972930908 3.2389004230499268 -0.005629112903225809 1.4780803139561949 0.38081836700439453 17.243211269378662 0.776761904761904
6 variable wallet_entropy q50 1 -0.013976204230621795 41.729099999999995 0.16710366368995236 0.6678976744186046 0.3068000000000026 1.8359860772965804 0.3278844356536865 33.9002959728241 -0.0013976744186046108 1.8040484568185913 0.48656535148620605 4.865590810775757 9.551162790697674e-05 3.4387434426952543 0.3372061252593994 1.5143988132476807 7.813953488372083e-05 2.718471514473813 0.6618108749389648 24.44347906112671 5.962790697674417e-05 3.373748461887926 0.331540584564209 29.687846899032593 0.0022553023255813542 1.6900487090131737 0.3444788455963135 10.737780809402466 -0.006015441860465123 1.5610292373525072 0.5090725421905518 25.283689737319946 0.8181154127100063
7 variable trade_count q50 0 -0.03126667851076295 41.736798 0.16562065630832393 0.6678779999999997 -0.31009800000000354 1.8723389153990349 0.5294170379638672 24.634698390960693 0.0014220000000002564 1.8586790266851028 0.5294170379638672 24.634698390960693 8.648e-05 3.798211665582969 0.501162052154541 9.635671377182007 -7.318e-05 4.924986743218942 0.4402167797088623 3.987245559692383 6.622000000000003e-05 3.2251766239179727 -2.1584441661834717 38.300026416778564 0.002120519999999987 1.598225238284236 0.32538604736328125 18.967758178710938 0.005629660000000005 1.4675174730522886 0.3331797122955322 26.15682816505432 0.8462072155411656
8 variable vwap_drift q01 0 -0.26166519964334306 41.71607727272727 0.15810614079218568 0.6679295454545454 -0.4523772727272686 2.861225189993551 0.8389828205108643 13.815484285354614 0.0014704545454545803 2.0132915874803095 0.6769275665283203 13.815484285354614 -9.261363636363644e-05 3.9946776295807194 0.5077860355377197 2.844123125076294 -8.768181818181824e-05 4.931858878059803 0.17645549774169922 35.82618951797485 -6.402272727272732e-05 4.051920608284555 0.6934311389923096 16.63261651992798 -0.002189068181818188 1.6914015736469274 0.4886014461517334 15.50940752029419 0.006099613636363636 1.6089671429861299 0.3802506923675537 24.572794914245605 0.9467484662576685
9 variable wallet_entropy q01 1 -0.2179963070460724 41.535703448275854 0.15046608160062933 0.6681689655172413 -0.40630344827585674 2.7002992565080355 0.6610472202301025 21.77044939994812 0.0014310344827587196 2.063884951300517 0.5155227184295654 11.364818811416626 9.343103448275866e-05 3.092518215549887 0.3343985080718994 27.137530088424683 -8.337931034482765e-05 4.337751853232066 0.4850282669067383 29.128214359283447 -6.801724137931033e-05 3.828464500996539 0.48566198348999023 36.94624400138855 -0.0021158965517241446 1.6283683711740824 0.5070137977600098 23.441642999649048 0.005918724137931038 1.5727396513864134 0.4968080520629883 33.10418176651001 0.8924155748293047
10 variable trade_count q50 2 -0.03126667851076295 41.405292857142854 0.1528509192658261 0.668295238095238 -0.3018928571428532 1.9750804155637771 0.368518590927124 3.1681995391845703 -0.001395238095238005 1.9741497193933777 0.3221445083618164 20.65025019645691 8.280952380952395e-05 4.721709761158652 0.3232097625732422 13.239082336425781 -7.011904761904759e-05 2.1493871194651315 0.34706687927246094 37.2989022731781 -6.426190476190469e-05 3.468358138235452 0.20017361640930176 31.519468545913696 -0.0020981904761905035 1.6255012539574858 0.39876437187194824 4.9217915534973145 0.005612357142857148 1.4962961593489805 0.5172748565673828 30.72224712371826 0.8467510063254726
11 variable signed_flow_usd q99 1 0.23925628431353235 41.396831111111105 0.13017678718184647 0.6682888888888889 0.47216888888889486 3.6271358289808844 0.5147812366485596 1.6325247287750244 -0.001588888888888973 2.6592975253366524 0.3506042957305908 1.6325247287750244 -0.00010457777777777785 4.157909044582824 0.2474379539489746 26.442238569259644 -6.948888888888896e-05 2.929981480500606 0.32767200469970703 0.0951225757598877 7.364444444444442e-05 3.739553699876907 0.5157811641693115 9.810204267501831 0.0020617555555556 1.5591559910924144 0.3397512435913086 15.33403205871582 -0.00565488888888889 1.4725337593648415 -2.3062448501586914 11.46019959449768 0.6644708882277945
12 variable signed_flow_usd q01 1 -0.3 41.55951999999999 0.16572802968183242 0.6681355555555556 -0.4596199999999939 2.7733389510656736 -2.0115554332733154 17.67088532447815 0.0014644444444443794 1.921323626720925 0.4999361038208008 9.367170095443726 9.377777777777775e-05 3.7412288435161702 0.3334035873413086 4.817816257476807 6.811111111111113e-05 2.557988741386232 0.5048675537109375 35.67320990562439 7.013333333333335e-05 4.220307481245408 0.33185243606567383 27.060813426971436 -0.002200000000000063 1.6868571805373644 0.4967517852783203 20.872413396835327 0.0059859555555555576 1.5866216684127874 0.49363136291503906 0.2721729278564453 0.7263033175355454
13 variable vwap_drift q01 2 -0.26166519964334306 41.36486666666667 0.1550940700206027 0.6683583333333334 -0.4535666666666742 2.9244616935155707 0.4956982135772705 6.58997106552124 0.0014416666666665634 2.029851019733018 0.4956982135772705 6.58997106552124 7.66833333333334e-05 2.4705518213782236 0.3163630962371826 13.118451118469238 -7.381666666666657e-05 4.333794342955485 0.6801834106445312 17.21621799468994 6.116666666666667e-05 2.7605848241097855 0.16304945945739746 35.21402645111084 -0.002084766666666682 1.5958591406475253 0.4977686405181885 21.213067054748535 0.005747566666666662 1.5031040431837317 0.26875972747802734 9.350291728973389 0.9626168224299045
14 calibration 0 -0.1 41.19110454545454 0.1620645100997885 0.6686136363636364 -0.34590454545454463 2.134363317678619 0.675731897354126 4.014679670333862 0.0013863636363636855 1.8380499057330901 0.5066308975219727 4.014679670333862 -7.418181818181829e-05 2.112310335072193 0.27305054664611816 37.31413650512695 -8.36818181818182e-05 3.430518822812993 0.18169474601745605 24.88645839691162 -5.579545454545453e-05 3.706400411846689 0.36098337173461914 18.208193063735962 -0.0021396818181818045 1.5920384675209363 0.4976787567138672 5.695954084396362 -0.005597159090909087 1.456191193204271 0.25254321098327637 32.92131948471069 0.8864747419880511
15 variable vwap_drift q50 1 -0.0012946417918777676 41.126779069767444 0.1696470488686206 0.6686837209302327 0.28852093023255776 1.700712934039875 0.3515889644622803 5.649873971939087 -0.0013837209302326459 1.7424048370693355 0.3515889644622803 5.649873971939087 7.676744186046504e-05 3.2162430986542576 0.34218335151672363 38.543269634246826 -6.746511627906977e-05 3.482836481732813 0.500556468963623 32.827561378479004 -6.660465116279068e-05 3.1231703486497584 0.4884793758392334 38.62841272354126 0.002259302325581386 1.7470663544766716 0.3242039680480957 29.67457866668701 -0.0060018604651162835 1.5588656175552524 0.5034878253936768 23.08984112739563 0.8788245986064838
16 variable wallet_entropy q99 0 0.3 41.1140976744186 0.16471025792086882 0.668760465116279 0.5428023255813983 3.295498000143834 0.5207076072692871 21.220240116119385 -0.0018604651162789088 2.4045175230724674 0.35805821418762207 21.38288950920105 -7.830232558139532e-05 3.387804013385276 0.3118607997894287 17.85887336730957 6.0674418604651195e-05 1.8756663659798976 0.3714141845703125 12.81676721572876 6.960465116279073e-05 3.355157682847175 0.3556203842163086 5.473284721374512 0.0022436279069767695 1.725063245073657 0.505091667175293 27.08435869216919 -0.005615162790697677 1.4841763292345103 0.5103306770324707 31.100569009780884 0.7748737748737755
17 variable mid_price q01 0 -0.15443057611241517 41.33886666666667 0.15536204026581169 0.6684833333333333 -0.3553666666666686 2.2873455192701218 0.4996509552001953 3.6324033737182617 -0.001483333333333281 2.08173608392094 0.3305213451385498 13.124797344207764 -8.463333333333335e-05 3.1864990957025965 0.3379790782928467 27.819210052490234 6.296666666666666e-05 2.930218027720352 0.9982874393463135 29.831526279449463 7.939999999999998e-05 3.8729096282198086 0.6602489948272705 25.146581172943115 0.0021716333333333393 1.6448166421200283 0.25287938117980957 36.29225134849548 -0.005606333333333342 1.4486357178746854 0.3491506576538086 1.962031364440918 0.7439936983064197
18 calibration 2 0.1 41.235473999999996 0.13748709293602812 0.66863 0.3996260000000049 2.9066437544500876 0.3349001407623291 20.254842519760132 -0.0016299999999999093 2.5184447299319364 0.3604240417480469 9.731741905212402 -9.109999999999999e-05 3.863326867856998 0.3286936283111572 34.918580770492554 -7.483999999999995e-05 3.8833310028376395 0.6576387882232666 10.09216594696045 7.682000000000004e-05 4.721977498514084 0.33370542526245117 31.09867024421692 0.002120960000000005 1.6055607542605557 0.32339906692504883 5.0935399532318115 0.005562120000000004 1.4629899584495516 0.32697463035583496 4.454533815383911 0.8215148188803508
19 calibration 1 0.5 41.34639047619047 0.13242808795994082 0.6683666666666667 0.6888095238095318 5.201385404113778 0.5143301486968994 1.7480320930480957 -0.001966666666666672 3.265561968050395 0.5143301486968994 1.7480320930480957 -0.00012688095238095232 4.544287382945339 0.32208847999572754 0.09715104103088379 -8.054761904761887e-05 5.021073196723921 0.25020408630371094 18.131389379501343 -7.435714285714288e-05 4.2883102079071245 0.4552474021911621 22.857219219207764 0.002122642857142837 1.6359203365015331 0.3283374309539795 7.5615153312683105 -0.005679142857142855 1.5228926959732942 0.504737377166748 1.0816245079040527 0.6348282979921175
20 variable mid_price q99 1 0.16428793257530794 41.71451346153846 0.15498606764783968 0.6678942307692307 0.43588653846153846 2.812424013827892 0.3267955780029297 39.01580476760864 -0.001594230769230709 2.22365516766327 0.3267955780029297 39.01580476760864 9.684615384615374e-05 3.2647984336168667 0.3386719226837158 35.49522089958191 -8.465384615384617e-05 3.3682835769126496 0.4972805976867676 27.01621913909912 6.680769230769232e-05 4.374537772720087 0.3345935344696045 2.0190534591674805 -0.00222057692307695 1.6967091532505947 0.5041594505310059 0.13437342643737793 0.005996653846153846 1.6075106872216887 0.4985082149505615 2.1819117069244385 0.8741064336775229
21 calibration 0 0.5 41.848574468085104 0.142112606636929 0.6676914893617022 0.6835255319148956 4.809745933808496 -0.5016467571258545 0.7746996879577637 -0.0018914893617022477 2.9519736915779116 -0.6348123550415039 0.7746996879577637 8.082978723404264e-05 2.7535275789362044 0.3408198356628418 21.264394283294678 5.6659574468085e-05 2.039713153722181 0.34387969970703125 16.61647367477417 7.28297872340425e-05 3.6829964888836892 0.3247337341308594 9.94512414932251 0.0022008297872340155 1.6564164916464865 0.32661867141723633 13.443379878997803 -0.005820170212765961 1.549589395818098 -2.209017753601074 27.91535234451294 0.7009739405106586
22 variable signed_flow_usd q01 2 -0.3 42.21250714285715 0.1466506480313923 0.6672309523809523 -0.4861071428571506 3.3147289110723444 0.6935794353485107 18.52020502090454 0.0015690476190476366 2.4314694694187176 0.6822795867919922 16.33338212966919 -9.090476190476188e-05 2.8578484770093104 0.3722085952758789 24.321613073349 -7.790476190476194e-05 2.6376977476527808 0.3275442123413086 0.03734564781188965 6.235714285714286e-05 3.061550115752651 0.3396308422088623 21.8583824634552 0.0022509047619047873 1.6718373242391258 0.24886846542358398 23.576759099960327 -0.005993880952380959 1.5592794964838623 0.4873363971710205 33.02710318565369 0.8569931901519127
23 variable wallet_entropy q99 2 0.3 41.98358222222222 0.16889357633846 0.6676288888888888 0.5553177777777805 3.2879745329386156 0.4930727481842041 34.578407287597656 -0.00182888888888888 2.3406955334988093 0.32779645919799805 5.92247200012207 8.851111111111108e-05 4.23274308751137 0.27196383476257324 2.721926689147949 7.073333333333339e-05 4.223640439823064 0.8274064064025879 33.251535177230835 6.768888888888889e-05 3.108642351648444 0.4977431297302246 24.55893898010254 0.0022426222222222125 1.7021223605708942 0.35881495475769043 29.873430252075195 -0.005696666666666666 1.4755356819186893 0.502751350402832 33.913039445877075 0.7991463720813466
24 variable signed_flow_usd q50 0 0.002348711402857934 42.23144561403509 0.15823292964684382 0.6672035087719299 0.3116543859649141 1.969592465111326 0.3282904624938965 21.340449333190918 -0.0014035087719299622 1.9385069505262944 0.2585759162902832 4.08577561378479 -8.656140350877194e-05 2.7049503621560134 0.3280613422393799 38.58082365989685 -8.129824561403502e-05 4.194601385272728 0.33354997634887695 19.696933269500732 6.340350877192982e-05 3.654440886038799 0.501396656036377 32.24850058555603 0.0021844736842105417 1.6307083041868407 0.3243231773376465 37.59150791168213 -0.0057107719298245645 1.4707452651180946 0.26426243782043457 3.5609426498413086 0.939197405755978
25 variable wallet_entropy q50 0 -0.013976204230621795 42.23448409090909 0.1691567897532582 0.6672340909090909 0.31681590909090573 1.87291275480595 0.32827067375183105 23.372411012649536 -0.0015340909090909571 1.9635122606015791 0.32827067375183105 23.372411012649536 -0.00010427272727272726 4.259762925667225 -1.4894256591796875 1.5245184898376465 -9.779545454545452e-05 6.1842396611013015 0.382169246673584 28.670421600341797 -7.204545454545457e-05 3.6704863778613466 0.6545705795288086 13.04793119430542 0.0022690454545454264 1.7580678925457864 0.3309938907623291 0.42539405822753906 -0.005859181818181822 1.5322561729698754 0.5020387172698975 1.706594467163086 0.9378814298169135
26 variable vwap_drift q99 2 0.2724107859133018 42.25089767441861 0.12683404005046092 0.6671651162790698 0.5232023255813871 4.125093905179012 0.5311222076416016 2.11875581741333 -0.0017651162790698338 3.098139838493909 0.3380763530731201 2.11875581741333 0.00010683720930232556 4.933668000859197 0.508232831954956 35.01367712020874 -8.055813953488375e-05 2.446815861497094 0.49065208435058594 39.018665075302124 -5.511627906976742e-05 3.017045316272886 0.3899390697479248 35.28265976905823 -0.0021408139534883908 1.62456393864218 0.4928579330444336 2.6498780250549316 0.005941906976744189 1.569237976541751 0.3650352954864502 4.626705646514893 0.7540269917283418
27 variable trade_count q50 1 -0.03126667851076295 42.46398333333333 0.1334100587281237 0.6668738095238096 -0.30478333333333296 2.284560371526789 0.4965815544128418 37.69120001792908 0.0014261904761904143 2.394372379984324 0.50191330909729 39.67390775680542 9.145238095238097e-05 3.6508421513732396 0.8550264835357666 33.33643674850464 -6.609523809523803e-05 2.6313280858224446 0.12489104270935059 6.233726978302002 7.669047619047618e-05 4.555140888320224 0.49462199211120605 2.0346648693084717 0.002197380952380895 1.688350344085018 0.32563138008117676 13.256226778030396 -0.005876928571428578 1.5574745115229225 0.49141383171081543 17.226022720336914 0.722728456131215
28 variable signed_flow_usd q99 0 0.23925628431353235 42.42293965517242 0.15581441429896414 0.6670137931034482 0.5123603448275773 3.2882730852134228 0.5153992176055908 9.42754054069519 -0.0017137931034482135 2.4478897806568387 0.5153992176055908 9.42754054069519 -9.477586206896543e-05 3.5793670139538594 0.2472209930419922 34.06534385681152 6.224137931034484e-05 2.3112949291465754 0.8335132598876953 21.333208322525024 6.191379310344829e-05 3.641491566764909 0.37531065940856934 32.07885003089905 0.0022168275862068654 1.65462037442308 0.34255385398864746 15.286595344543457 -0.005811689655172408 1.5493374645521687 0.49082303047180176 27.057985305786133 0.6567218482808812
29 variable signed_flow_usd q99 2 0.23925628431353235 42.60103181818181 0.15437430422769619 0.6668204545454546 0.5136681818181899 3.3274202231256633 0.5086069107055664 26.081787109375 -0.0017204545454545528 2.410644659546544 0.3263387680053711 0.764899730682373 7.936363636363631e-05 2.6666093242823146 0.3508737087249756 2.893064498901367 -6.759090909090907e-05 3.9887172596314473 0.3466341495513916 18.198852062225342 -5.706818181818181e-05 2.6960269967428605 0.6324865818023682 9.981207132339478 0.002241681818181823 1.6734030710854073 0.36623668670654297 21.386961221694946 -0.005683681818181817 1.4974418116512045 0.5262064933776855 33.29036855697632 0.8516609392898056
30 variable signed_flow_usd q01 0 -0.3 42.820411904761905 0.17006917808488203 0.6664166666666667 -0.5069119047619068 2.980621829717467 0.6603052616119385 12.792468309402466 0.001583333333333381 2.032878826608706 0.503838062286377 6.519644260406494 8.88571428571428e-05 2.9079711204283094 0.34137678146362305 20.078964710235596 -8.45952380952381e-05 3.883041557372122 0.6620261669158936 24.115764141082764 -5.604761904761901e-05 3.5683053833470466 0.28932738304138184 15.641886711120605 0.002226714285714304 1.6572439433733601 0.36083459854125977 29.425859451293945 -0.005953261904761899 1.528295286353803 0.4927654266357422 33.45795702934265 0.9520364415862815
31 calibration 0 0.25 42.57321666666667 0.16552660110871323 0.66685 0.5346833333333336 3.2301958099300827 0.49646782875061035 33.74837946891785 -0.0018500000000000183 2.4369343527175156 0.49646782875061035 33.74837946891785 -9.290476190476182e-05 3.9730455266436846 0.3266315460205078 1.5879690647125244 -9.607142857142865e-05 6.327958034065235 0.35287904739379883 32.24063181877136 -6.776190476190472e-05 3.1648567922194326 0.25307202339172363 39.325095415115356 0.00224161904761902 1.7466596143573143 0.25196385383605957 38.94743227958679 0.005553357142857141 1.4771204590771552 0.47237229347229004 36.235506772994995 0.9670384138785608
32 calibration 1 -0.25 42.799016417910444 0.15205828379522998 0.6664626865671641 -0.45761641791044383 3.0094803550899942 0.6805217266082764 29.735915184020996 0.0015373134328359184 2.223880407425976 0.5008161067962646 22.045663118362427 9.085074626865686e-05 4.082113967452792 0.8228650093078613 37.87833309173584 -7.741791044776122e-05 2.5567456975646676 0.34302473068237305 39.852888345718384 5.9970149253731346e-05 3.2895198160329677 0.6945490837097168 16.78985571861267 -0.0021423283582089336 1.6145359215867714 0.49051475524902344 31.412715673446655 0.0056875522388059666 1.5005033277311288 0.513178825378418 22.86259412765503 0.8521439132577614
33 variable mid_price q99 0 0.16428793257530794 42.621274418604656 0.15892652696607693 0.6667023255813953 0.4329255813953452 2.724061172542666 0.49526548385620117 1.698652982711792 -0.0016023255813952808 2.2325459627492807 0.272113561630249 21.101546049118042 9.486046511627915e-05 5.498303340350042 0.33365678787231445 0.9415743350982666 -6.05348837209302e-05 2.67731484931064 0.33736228942871094 4.383643388748169 6.890697674418605e-05 3.8387012822622117 0.656806468963623 24.80904793739319 -0.002186302325581424 1.6774700374983926 0.3717193603515625 16.572526693344116 0.006055279069767432 1.578549787030373 0.3248295783996582 4.222764730453491 0.6381466045599403
34 variable large_print_cnt q50 0 -0.031214341021100704 42.76831162790698 0.1374544274741036 0.666479069767442 -0.31041162790697996 2.2582875911033238 0.5036659240722656 10.414268493652344 -0.0014790697674419429 2.386899086163614 0.32610464096069336 38.22054314613342 -0.00010483720930232557 4.442200798375172 -2.1428656578063965 37.18785858154297 -6.674418604651162e-05 2.9882153447309725 0.3285238742828369 0.14542412757873535 5.744186046511627e-05 3.152023359627365 0.4912838935852051 34.735793352127075 0.0021617209302325358 1.6484111569628104 0.32513928413391113 7.538972616195679 -0.005827000000000002 1.5477846901013903 0.4893069267272949 19.23682165145874 0.6366459627329193
35 variable vwap_drift q99 0 0.2724107859133018 42.74307142857143 0.1496024740941872 0.6665464285714285 0.5060285714285655 3.382487986862961 0.3388211727142334 36.560590744018555 -0.0017464285714285932 2.588098694616804 0.32880067825317383 25.999507427215576 -8.194642857142862e-05 2.5128017362385227 0.3339719772338867 31.050703287124634 -8.626785714285713e-05 5.031399131076803 0.24886155128479004 17.23580574989319 -6.601785714285718e-05 3.044888503499328 0.6715376377105713 13.618391513824463 0.002257732142857155 1.703474456887288 0.3261253833770752 15.115758895874023 -0.0058709285714285755 1.5422942388662013 0.49590182304382324 25.338244438171387 0.9499068515835238
36 variable trade_count q01 0 -0.088515861594095 42.94770338983051 0.15697157787222377 0.6662949152542371 -0.3608033898305081 2.2985268716875944 0.7429890632629395 18.754427909851074 0.0014050847457628413 1.9578259233439532 0.4987506866455078 8.156275510787964 8.028813559322033e-05 2.619369138700864 1.0140371322631836 12.171675682067871 -8.77966101694915e-05 3.577337829280496 0.2726106643676758 22.664849519729614 -6.277966101694911e-05 3.933881924527794 0.3445718288421631 29.912949085235596 0.002211135593220337 1.7063093118001935 0.32399773597717285 29.424805402755737 -0.005838661016949149 1.5488001265398137 0.33725452423095703 33.435051918029785 0.9144787644787646
37 variable large_print_cnt q01 0 -0.03959941549062887 42.887026666666664 0.1669449016225946 0.6663866666666667 0.289673333333333 1.7351433348242373 0.3265700340270996 33.6032919883728 -0.0014866666666666362 1.9682941823208548 0.362717866897583 4.98370885848999 -8.91111111111111e-05 3.800444259212866 0.33701419830322266 1.3156614303588867 -8.266666666666665e-05 3.696637147433691 0.5112807750701904 32.06152296066284 -6.666666666666667e-05 2.944234357191925 0.49344372749328613 37.939414262771606 0.0022047999999999512 1.666023995693764 0.3302650451660156 28.94991374015808 -0.005938577777777777 1.5713817875421925 0.48658084869384766 25.16300106048584 0.9276807980049875
38 variable trade_count q01 2 -0.088515861594095 42.865404444444444 0.1720236468958791 0.6664222222222222 -0.32390444444444455 1.8829065090132318 0.5049540996551514 35.46235489845276 -0.0014222222222222136 1.8443727446913616 0.3544657230377197 13.596254825592041 8.362222222222206e-05 3.1937161204061923 0.6478803157806396 36.89742946624756 7.051111111111108e-05 2.3655100590371747 0.33945274353027344 22.45986294746399 6.724444444444446e-05 3.8323944173397213 0.32775092124938965 6.061629772186279 0.0021817111111110954 1.6605695207410704 0.5038700103759766 29.78173589706421 0.005618800000000007 1.449635662399879 0.4924650192260742 26.474385261535645 0.8432102046239714
39 variable wallet_entropy q01 0 -0.2179963070460724 42.80558837209303 0.17098232223231305 0.6665325581395349 -0.40408837209302817 2.363334213837585 0.4946713447570801 24.786481142044067 0.0013674418604651128 1.744707268068506 0.4530603885650635 33.123305797576904 0.00011676744186046503 5.446833798435247 0.32772183418273926 1.8037049770355225 7.104651162790699e-05 3.323846392002077 0.2731046676635742 30.945846796035767 8.055813953488373e-05 4.590467835411564 0.26207923889160156 24.397000551223755 0.00228860465116279 1.753999445056667 0.5001556873321533 37.857858657836914 -0.005912581395348834 1.546479516130054 0.3336756229400635 4.634178161621094 0.608444532961562
40 calibration 1 0.1 42.669401639344265 0.15902857923563957 0.6666590163934426 0.3813983606557372 2.398300748764174 0.340317964553833 13.265605926513672 -0.0015590163934425805 2.185254357506519 0.340317964553833 13.265605926513672 -9.447540983606537e-05 3.6214297603681835 0.3194406032562256 38.46589541435242 -7.506557377049165e-05 3.6885606102665442 0.3644888401031494 11.729790687561035 6.670491803278695e-05 3.666825402553297 0.16050243377685547 31.886727809906006 0.0021613770491803186 1.6539088363598955 0.3276848793029785 8.5685396194458 -0.005615196721311475 1.4658070817514222 0.3320341110229492 12.596537590026855 0.7945514488981434
41 variable large_print_cnt q50 2 -0.031214341021100704 42.747600000000006 0.16892579238628205 0.6665809523809524 0.3059999999999974 1.8114462905715913 0.32756710052490234 21.685353755950928 -0.0014809523809523606 1.9124796152185408 0.3426682949066162 11.08468747138977 -9.269047619047625e-05 3.797889728829026 0.3461768627166748 3.206967830657959 -7.590476190476195e-05 4.834455608961453 0.3570694923400879 20.32236957550049 -7.761904761904761e-05 4.3125013251359015 0.3730895519256592 28.00623345375061 0.0021916190476190256 1.7299314521548497 0.33454298973083496 0.17956948280334473 0.005676500000000001 1.5087183259956773 0.253420352935791 4.356039047241211 0.8189057282301566
42 calibration 2 0.25 42.75018333333334 0.13391470795971755 0.6665142857142856 0.5164166666666574 3.8563102928320543 0.5158941745758057 1.6096692085266113 -0.0017142857142856682 2.90644100164611 0.5158941745758057 1.6096692085266113 0.00011790476190476194 4.101035548271522 0.26923108100891113 35.888710260391235 -6.809523809523808e-05 2.524205972165596 0.7425000667572021 30.796905040740967 -7.895238095238097e-05 4.407361616269866 0.3840506076812744 33.7885046005249 0.002205357142857106 1.6936128809289375 0.34028029441833496 7.43314528465271 -0.005895190476190481 1.562616861878973 -2.1893157958984375 11.377814769744873 0.5775444264943455
43 variable large_print_cnt q50 1 -0.031214341021100704 42.913130232558146 0.1566868310978333 0.6664139534883722 0.33266976744185683 2.1231507786008 0.34748363494873047 27.575251579284668 -0.0015139534883721328 2.1761745877586596 0.34748363494873047 27.575251579284668 7.972093023255822e-05 2.8071328331108636 0.49154162406921387 32.60307216644287 5.41395348837209e-05 2.4260979946261427 -2.3660552501678467 18.21493363380432 6.648837209302327e-05 2.600144073283804 0.33767271041870117 11.566372156143188 0.0022745813953488347 1.7062276575712627 0.34378910064697266 15.098592758178711 -0.005750627906976748 1.5251419237853554 0.49014711380004883 26.904680728912354 0.6791131855309207
44 variable mid_price q50 0 -0.0012794443439905418 42.92760819672132 0.15219278897103142 0.666311475409836 0.32259180327867654 2.1196260707205985 0.32875847816467285 35.54295516014099 -0.0015114754098360939 2.202718059596387 0.32875847816467285 35.54295516014099 -8.027868852459024e-05 3.2801314025079398 0.4918704032897949 24.015289783477783 6.452459016393448e-05 2.476997695410272 0.3392341136932373 23.478472471237183 6.445901639344262e-05 3.13945369189814 0.3742649555206299 9.397039651870728 0.002181704918032795 1.667047974899569 0.32373642921447754 23.01477813720703 -0.005583377049180334 1.4517098834254751 0.5156142711639404 34.85372614860535 0.8037574024913211
45 variable large_print_cnt q99 0 0.3 42.9080159090909 0.15552748214205195 0.6664272727272728 0.5707840909091004 3.669988628683459 0.36849331855773926 34.75746297836304 -0.0019272727272727774 2.7527825011984723 0.33096885681152344 6.23530912399292 8.363636363636353e-05 2.9127199062977995 0.4980733394622803 13.052539825439453 6.461363636363641e-05 3.1075455513215506 0.8366153240203857 28.407851934432983 -6.520454545454543e-05 2.9889908923066373 0.5017538070678711 2.771885871887207 0.002119477272727266 1.600379632529813 0.3287680149078369 30.122992038726807 0.005916454545454548 1.558833914954058 0.49663329124450684 29.56837749481201 0.7725543478260886
46 variable wallet_entropy q01 2 -0.2179963070460724 43.16937045454545 0.1730892604456199 0.665990909090909 -0.4259704545454497 2.4609872007586424 0.4992220401763916 36.0899760723114 0.0015090909090910154 1.9216129461752693 0.4936869144439697 25.615560054779053 -8.211363636363624e-05 3.2187123916337734 0.33746957778930664 39.151336431503296 -7.688636363636361e-05 3.5495573075463778 0.3637425899505615 23.083402395248413 -5.656818181818185e-05 4.299445140610909 0.3293771743774414 16.412282705307007 -0.002155772727272798 1.650007391733322 0.49399447441101074 35.59598159790039 0.006109590909090908 1.6043555945464085 0.49535560607910156 37.585928201675415 0.9363409908663172
47 variable vwap_drift q50 2 -0.0012946417918777676 43.02346888888889 0.16775499704062086 0.666171111111111 0.3032311111111099 1.8075831805933287 0.24718689918518066 15.903647184371948 -0.0014711111111110897 1.9036984035285278 0.24718689918518066 15.903647184371948 -9.675555555555568e-05 3.5491229160900493 0.33594417572021484 2.021709442138672 -0.0001005111111111111 5.602958278750203 0.5032405853271484 30.289700508117676 -6.891111111111115e-05 3.566102054080199 0.3712589740753174 16.027855157852173 0.002146288888888903 1.6245594624559758 0.32395029067993164 0.8795468807220459 -0.005858711111111109 1.5285013304625583 0.49215221405029297 4.880737781524658 0.9626354189697117
48 calibration 1 -0.1 43.004272881355945 0.1554136686946213 0.6662881355932204 -0.31027288135594233 1.9964323856584985 0.5073409080505371 30.33994698524475 -0.0013881355932203743 1.9916222133202393 0.3247029781341553 2.649740219116211 9.244067796610172e-05 3.3598308011934956 0.6936604976654053 25.978879928588867 -6.471186440677973e-05 2.109905619295835 0.33748602867126465 30.165664196014404 -5.916949152542369e-05 3.249978149469141 0.33030128479003906 31.87452244758606 0.0021907118644067802 1.6674252645682899 0.3260061740875244 18.977399349212646 -0.005606152542372882 1.4477353734014702 0.48706984519958496 12.51001501083374 0.7000366703337005
49 calibration 2 0.5 42.97352909090908 0.1590356274238027 0.6662236363636364 0.68257090909092 4.29193709703792 0.5109560489654541 3.233977794647217 -0.0019236363636363496 2.7057496181710214 0.326674222946167 3.418259620666504 0.00015101818181818182 8.492265444587606 0.28959155082702637 0.06719422340393066 6.405454545454548e-05 2.2213512153548987 0.6629269123077393 18.296894073486328 6.77454545454546e-05 3.211217113203079 0.4942817687988281 11.476470232009888 0.0022310363636363906 1.70869654917053 0.32471537590026855 6.350888967514038 -0.005905509090909096 1.5367130702776208 0.4920952320098877 20.78262972831726 0.4241512159884423
50 calibration 0 -0.25 43.32065714285714 0.14807472396581092 0.6658714285714286 -0.42825714285713445 2.892169111562991 0.37448978424072266 21.533843755722046 0.0014285714285714457 2.1794131485205965 0.37423133850097656 19.91745400428772 -8.500000000000011e-05 2.843279643375727 0.5164570808410645 36.77725028991699 -7.080952380952377e-05 3.364218953320638 0.3288102149963379 3.5970942974090576 6.457142857142856e-05 3.539721998312409 0.5067081451416016 34.277738094329834 0.002262619047619041 1.7639462686725529 0.34467029571533203 16.51586151123047 -0.005639333333333333 1.5163490132439457 0.48925352096557617 29.27896475791931 0.8330532212885138
51 variable trade_count q99 1 0.3 43.165222916666664 0.1498332687795327 0.6660083333333333 0.5536770833333335 3.6952880214341697 0.5133321285247803 19.10912585258484 -0.0018083333333333007 2.6996649204219088 0.5133321285247803 19.10912585258484 6.910416666666664e-05 2.028850156494193 0.6617047786712646 5.982085227966309 -7.316666666666669e-05 3.146488586397479 0.32548069953918457 19.786580085754395 -6.777083333333334e-05 3.660562023619812 0.32717108726501465 1.267606496810913 0.0023146041666666783 1.7780846251184765 0.3340604305267334 35.53241777420044 -0.006061479166666665 1.6185088139761394 0.4898240566253662 39.53914475440979 0.9444760820045551
52 variable vwap_drift q50 0 -0.0012946417918777676 43.40645238095238 0.14981116723283466 0.6656571428571428 0.3240476190476187 2.1630404797793736 0.33624839782714844 38.45911526679993 -0.0014571428571428235 2.1871095710690547 0.33624839782714844 38.45911526679993 -8.523809523809515e-05 3.2631597002687087 0.3270583152770996 8.056299686431885 -8.909523809523816e-05 5.07557012123811 0.3257558345794678 26.427141189575195 -8.290476190476187e-05 4.802233315930595 0.3343780040740967 22.468092918395996 0.002295690476190493 1.7817119163571602 0.33789610862731934 33.7885217666626 -0.0059970714285714315 1.555613653913005 0.5226106643676758 37.76060223579407 0.9567076429716712
53 calibration 0 0.1 43.420639534883726 0.13729852069789497 0.6656325581395349 0.39376046511627294 2.8679148407045436 0.3604090213775635 20.094597816467285 -0.0016325581395348898 2.656956929227141 0.3604090213775635 20.094597816467285 0.00010495348837209306 4.783974696423268 0.43909597396850586 35.505768060684204 -7.513953488372087e-05 2.451716809861886 0.3289916515350342 34.64431881904602 -5.2883720930232573e-05 3.4701747807994274 0.12945818901062012 30.257359266281128 0.0020637906976744558 1.5796541414904504 0.33088159561157227 7.71380877494812 -0.005675837209302332 1.5136869919938236 0.3231089115142822 1.16682767868042 0.7159317527143798
54 variable mid_price q01 1 -0.15443057611241517 43.48365227272728 0.15514232833204852 0.6656363636363637 -0.3713522727272789 2.3936231763421767 0.5002322196960449 8.251256704330444 -0.001536363636363669 2.2290937022639574 0.32653284072875977 27.6833393573761 -8.511363636363632e-05 3.6772511264238625 0.32347965240478516 13.523254871368408 6.897727272727296e-05 2.828387975016274 1.0163092613220215 17.4820613861084 6.763636363636363e-05 2.791749754042238 1.0081634521484375 21.33332347869873 0.0022523181818182025 1.6924275491026046 0.36754584312438965 4.724889516830444 -0.005969409090909098 1.5789969570015299 0.5069785118103027 8.75148892402649 0.8104138851802435
55 variable mid_price q50 1 -0.0012794443439905418 43.36416271186441 0.15056446887483427 0.6658406779661018 0.35633728813559173 2.366675821981735 0.3349590301513672 17.303173065185547 -0.0015406779661018 2.2953081806067064 0.3349590301513672 17.303173065185547 -7.330508474576256e-05 2.975797522568685 0.4909989833831787 31.98553156852722 5.979661016949152e-05 2.2657693152961156 0.29333949089050293 12.634613275527954 6.0898305084745754e-05 3.320149432975367 0.8453419208526611 29.302236080169678 0.0021422033898305104 1.6292108529539862 0.3216555118560791 4.189035177230835 0.005700847457627122 1.4728822798557308 0.33463382720947266 0.8455615043640137 0.8157225433526027
56 variable mid_price q01 2 -0.15443057611241517 43.388490476190476 0.16193916525235755 0.6657595238095237 -0.36729047619047606 2.2680768770056936 0.5061557292938232 18.068397283554077 -0.001559523809523733 2.137318250907678 0.3472728729248047 27.573983669281006 -8.266666666666654e-05 2.999418325526728 40.00116038322449 -7.338095238095237e-05 4.622149602702458 0.5184814929962158 17.54991579055786 -6.07380952380952e-05 2.906754942095864 0.5088095664978027 10.879587411880493 0.002211261904761924 1.659260568366242 0.3272831439971924 12.388981342315674 -0.0056327142857142826 1.5133565847310095 0.3267357349395752 26.9213228225708 0.887672811059909
57 calibration 2 -0.1 43.28410930232558 0.17209715321882835 0.6659093023255813 -0.3351093023255842 1.947210026765983 0.520693302154541 13.494155883789062 -0.0014093023255813408 1.8083510640338212 0.3528621196746826 7.02449107170105 -8.513953488372078e-05 2.424741532733406 0.3275771141052246 38.09148955345154 -8.51162790697675e-05 4.041301042796453 0.32320713996887207 37.59461164474487 -6.597674418604648e-05 5.313759082536441 0.5163638591766357 19.011407613754272 0.0021370000000000278 1.643811386935711 0.3570852279663086 31.103293657302856 0.005692255813953488 1.497370577440291 0.32773876190185547 17.18642234802246 0.9997268505872736
58 variable mid_price q99 2 0.16428793257530794 43.234119047619046 0.17266314884920198 0.6659261904761904 0.44988095238095127 2.605541225092922 0.4935727119445801 32.95500326156616 -0.0017261904761903812 2.1871804229082117 0.33367300033569336 6.595964193344116 -8.945238095238103e-05 4.004973181187848 0.3326284885406494 2.9270284175872803 -8.54047619047618e-05 4.067319563235588 0.334367036819458 31.45186948776245 -7.726190476190476e-05 3.583841753887845 0.3231947422027588 39.271828174591064 -0.0021937619047619206 1.6544515521535668 -2.3451695442199707 16.541462182998657 0.006015857142857139 1.5505430371225848 0.5162544250488281 24.986872673034668 0.9547511312217174
59 variable large_print_cnt q99 2 0.3 43.369503448275864 0.15604717121204664 0.6657293103448274 0.5500965517241383 3.5251940003233555 0.49407124519348145 21.988901615142822 -0.0018293103448273618 2.6206799348851058 0.3486206531524658 3.7284791469573975 7.508620689655168e-05 3.411274013486683 0.5061213970184326 37.95692682266235 -5.7000000000000084e-05 1.85370290014693 0.37672901153564453 39.33037304878235 7.260344827586206e-05 4.293665231878527 0.31978869438171387 18.523899793624878 -0.0020584827586206944 1.5476532861835752 0.48940181732177734 22.482972860336304 0.0055881551724137925 1.4448518673833213 0.3448915481567383 34.9853994846344 0.7591274397244562
60 calibration 0 -0.5 43.59383653846154 0.16225209258914416 0.6654692307692307 -0.6232365384615406 3.8411617903733566 0.8482840061187744 39.16132950782776 0.0016307692307693245 2.248585510557819 0.6634750366210938 10.495976448059082 8.288461538461542e-05 4.404632643844039 0.4999058246612549 10.158646821975708 6.31346153846154e-05 2.446838567347802 0.34610629081726074 28.314684867858887 7.917307692307691e-05 4.2962614545505575 0.8384890556335449 26.3736891746521 0.0021650769230769362 1.6687374037866713 0.32704663276672363 35.65019464492798 -0.005710038461538464 1.490339225314867 0.32666850090026855 3.2061266899108887 0.7617169373549882
61 variable large_print_cnt q01 1 -0.03959941549062887 43.237446511627915 0.15187219588581688 0.6658976744186047 0.2998534883720865 1.974380409943683 0.32805705070495605 11.385520935058594 -0.0013976744186047219 2.091121130837745 0.3242049217224121 3.4123775959014893 -8.38139534883721e-05 3.223807041694191 0.4914407730102539 36.90829133987427 -6.925581395348832e-05 3.6962117721517154 0.32810497283935547 11.878418684005737 7.081395348837216e-05 3.8374725364229074 0.2631101608276367 20.910568952560425 0.002266860465116316 1.7588623440337605 0.36124491691589355 9.339450359344482 -0.006056697674418604 1.588266877137826 0.5155954360961914 10.695983648300171 0.826304106548279
62 variable trade_count q01 1 -0.088515861594095 43.20843111111111 0.13654605217812824 0.6659933333333333 -0.32983111111111185 2.415530188165658 0.5063984394073486 12.369695901870728 -0.0014933333333333465 2.5163774512246833 0.5050783157348633 0.7769289016723633 8.600000000000003e-05 3.300215083221588 0.3253214359283447 15.635671138763428 -7.486666666666657e-05 4.31521106899797 0.16126394271850586 17.76766276359558 -7.402222222222221e-05 3.922560564458219 0.33669233322143555 25.49027419090271 0.002277888888888857 1.7485507810870342 0.3291325569152832 6.640698432922363 -0.005796866666666664 1.526442841555507 0.3708052635192871 18.435697078704834 0.8705426356589133
63 variable large_print_cnt q01 2 -0.03959941549062887 43.16453333333333 0.16205863575330448 0.6660186666666666 0.29716666666666924 1.8336984344298346 0.33504366874694824 36.64319562911987 -0.0015186666666666682 2.1056374427247584 0.33504366874694824 36.64319562911987 8.730666666666674e-05 3.049378247751442 0.677588701248169 23.234666109085083 -7.798666666666669e-05 3.135765277074764 0.3274259567260742 24.553379774093628 -6.644e-05 3.682899669474907 0.5051424503326416 30.434715032577515 0.002113066666666663 1.6074634286180511 0.3549785614013672 24.074347257614136 0.00561410666666666 1.4701322561594576 0.4073219299316406 0.14199590682983398 0.8932498472816122
64 variable vwap_drift q01 1 -0.26166519964334306 43.141958139534886 0.14841625347047804 0.6660581395348836 -0.44855813953488877 3.022297956228311 0.6848618984222412 5.756773471832275 0.0015418604651163959 2.3428000628428016 0.5197827816009521 5.9218525886535645 8.939534883720937e-05 3.039480787109755 -2.0864310264587402 31.13541316986084 -6.820930232558152e-05 2.7013620168317454 0.3340580463409424 2.00722336769104 6.216279069767448e-05 2.439628312538963 0.32488012313842773 1.5199530124664307 0.0022368837209302828 1.6884310970533167 0.3606131076812744 12.817188262939453 -0.005970372093023257 1.5694754686833445 0.39946842193603516 26.32192873954773 0.7630072840790851
65 calibration 2 -0.25 42.96079318181818 0.17311566600729303 0.6662931818181819 -0.442493181818179 2.556055104796452 0.6924862861633301 8.19718885421753 0.0015068181818180815 1.9398656705120523 0.5054588317871094 8.19718885421753 8.861363636363635e-05 3.3148877979548264 0.680931806564331 38.359779357910156 6.465909090909092e-05 2.1878693403690916 0.667776346206665 12.022655248641968 6.443181818181819e-05 3.5225817915848108 0.3641993999481201 7.6683878898620605 0.002246909090909077 1.6999735453351466 0.33736729621887207 20.86879563331604 -0.005757181818181821 1.5010819465406489 0.5026006698608398 24.86199688911438 0.7296742754552451
66 variable large_print_cnt q99 1 0.3 42.78250952380953 0.1763328465330268 0.6665619047619048 0.5452904761904733 3.0923930901798347 0.3234684467315674 15.41738510131836 -0.0017619047619048533 2.2198312992317586 0.2682628631591797 5.389307022094727 0.00010638095238095242 5.01990785573608 0.25298428535461426 2.6703436374664307 7.29523809523809e-05 3.574340423704452 0.3482828140258789 31.972611665725708 6.533333333333334e-05 3.1718579969994822 0.5125608444213867 25.29859757423401 0.0021532380952380414 1.6434934035880682 0.33514952659606934 28.807939529418945 0.005776333333333335 1.5314628509466612 0.519118070602417 25.463255405426025 0.6857654431512974
67 variable trade_count q99 0 0.3 43.03154666666667 0.1578363609002126 0.66614 0.5361533333333313 3.396893657934108 0.4055304527282715 31.234514951705933 -0.0017399999999999638 2.4532198912070875 0.32068347930908203 4.0032734870910645 -8.698333333333327e-05 3.007812381205138 0.4935002326965332 37.57001805305481 -8.209999999999999e-05 4.239305478667198 0.49419188499450684 12.905421018600464 -6.125e-05 4.129278647128351 0.4970707893371582 6.170523405075073 -0.002070650000000007 1.5946294281782485 0.4107246398925781 31.640045404434204 0.005808816666666664 1.5361296136246292 0.45032262802124023 33.32970690727234 0.9438589768154825
68 calibration 1 0.25 43.25806511627906 0.16131700249742434 0.6658651162790697 0.5150348837209364 3.192688159012623 0.5001211166381836 12.587418556213379 -0.0017651162790697228 2.448998785765194 0.33619046211242676 12.587418556213379 -9.797674418604639e-05 4.42372676338468 0.33632349967956543 3.1125800609588623 -8.323255813953495e-05 5.051106001273122 0.8162403106689453 23.48015594482422 -7.655813953488371e-05 4.520255483817399 0.6540367603302002 12.757610559463501 -0.0021232558139535063 1.6292719337843378 0.5175302028656006 6.658677339553833 0.0060176511627907 1.5659834934892771 0.3386406898498535 4.471278429031372 0.849513410871115
69 variable wallet_entropy q99 1 0.3 43.44282619047619 0.1673780921824315 0.6656761904761905 0.5723738095238105 3.4196459169815325 0.3723571300506592 4.573625087738037 -0.0018761904761905868 2.5127162663018656 0.2710282802581787 9.843161582946777 0.00010730952380952379 5.052611206308217 0.3269989490509033 37.14578723907471 -8.50714285714286e-05 3.2361143551901885 0.332287073135376 39.151161909103394 -7.690476190476192e-05 3.5567683293564714 0.5084197521209717 19.99749255180359 0.0020915952380952674 1.6657475752539679 0.3255748748779297 15.172344207763672 0.005873595238095233 1.5427168317139992 0.2630650997161865 6.429233074188232 0.7927668071888179
70 variable vwap_drift q99 1 0.2724107859133018 43.64945454545455 0.1352907969969356 0.6654886363636364 0.5769454545454451 4.2644841138641025 0.4900188446044922 29.315115928649902 -0.0019886363636364424 3.3436180768248422 0.3262362480163574 29.315115928649902 0.0001021136363636364 4.109696661116454 0.6291234493255615 33.798929929733276 -6.656818181818174e-05 2.6940227838653867 0.2644963264465332 37.036776304244995 7.588636363636367e-05 3.5348655295251077 0.6784398555755615 15.370400428771973 0.002222204545454576 1.684806016231409 0.33300328254699707 6.374955415725708 0.0056668863636363635 1.4994873187125504 0.49021267890930176 3.05297589302063 0.6519029601602483
71 variable trade_count q99 2 0.3 43.89999516129033 0.15886279678512924 0.6650612903225805 0.5712048387096758 3.5955859412588715 0.5165712833404541 37.018596172332764 -0.0018612903225805333 2.637922743682561 0.3545238971710205 37.018596172332764 -8.053225806451618e-05 3.2406906962187025 0.3443741798400879 33.52177715301514 6.943548387096767e-05 2.810868523327682 1.0071372985839844 26.88061261177063 5.7080645161290266e-05 3.293906328796136 0.4917018413543701 18.88643717765808 0.002099838709677393 1.6054313563250802 0.325120210647583 24.552430629730225 0.0056995645161290395 1.5057004200636224 0.33100366592407227 21.219740390777588 0.8622070899258949
72 variable wallet_entropy q50 2 -0.013976204230621795 44.12879999999999 0.13748588672157963 0.6647785714285714 0.3247000000000071 2.361696954812181 0.43280935287475586 16.850544691085815 -0.0014785714285714402 2.452094928872698 0.3246617317199707 0.4174976348876953 6.488095238095244e-05 1.85409460529831 0.345989465713501 4.524056911468506 -7.104761904761902e-05 3.247871076207393 0.4936690330505371 6.537446975708008 -7.276190476190476e-05 4.434484286652813 0.37349748611450195 12.013832330703735 -0.0021190000000000098 1.5862018412132557 0.5079777240753174 31.847420692443848 0.006077499999999996 1.5850884323959311 0.46169257164001465 19.10188865661621 0.9132037533512076
73 calibration 1 -0.5 44.15313023255814 0.17029151139570747 0.6646906976744186 -0.6587302325581419 3.86825054965568 0.6796886920928955 9.092525959014893 0.0018093023255814078 2.3645559636681917 0.6796886920928955 9.092525959014893 9.453488372093016e-05 3.190030359885542 0.6562888622283936 2.789522171020508 -7.825581395348833e-05 3.943846247645031 0.3236548900604248 14.615617990493774 -6.216279069767446e-05 3.927893398312571 0.66184401512146 20.3100266456604 -0.0021608604651162933 1.6198366889278668 0.5050246715545654 16.43703031539917 0.0057361627906976735 1.5105088932530335 0.4968986511230469 28.972779512405396 0.8277982779827799