202 lines
30 KiB
Plaintext
202 lines
30 KiB
Plaintext
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Ë
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º%jb ã óÊ — d Z ddlmZ ddlZddlZddlZddlZddlZddlZddl Z
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ddl m Z ddl
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ZddlZddlZdZdZdZdd d
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d d d
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ddœZdZdZd
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ZdZdZdZdZ dZ dZ dZ dZ dZ!dZ"dZ#g d ¢Z$d Z% ejL d « Z' e d e'› �« Z(e(d z Z)d0d!„Z* G d"„ d#« Z+d1d$„Z, d2d%„Z-d3d&„Z.e f d4d'„Z/d5d(„Z0d6d)„Z1d7d*„Z2d8d+„Z3 d9d,„Z4 d:d-„Z5d.„ Z6e7d/k( r e6« yy);uÎ market_tension_injector.py — feed REAL market tensions into the lattice.
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Replaces the synthetic z-score/STR_CAP scheme of inject_continuous_stream.py.
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The previous injectors took market variables, z-scored them away to a
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dimensionless ±0.30 blob at (512,512), and asked the lattice to find
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structure. That destroyed all native magnitude and unit information. A
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5σ flow and a 3σ flow produced identical injections. Predictably, six
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"different variables" collapsed to one transfer function.
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This injector encodes four NATIVE market tensions, in physical units,
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as DISTINCT spatial forcing patterns the lattice can mechanically
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respond to differently:
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┌──────────────────────┬────────────────────────┬─────────────────────────�
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│ tension │ physical interpretation│ lattice forcing pattern │
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├──────────────────────┼────────────────────────┼─────────────────────────┤
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│ funding_bps │ directional cost-to- │ x-axis DIPOLE │
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│ (signed bps annual)│ carry, longs pulled vs │ (asymmetry forcing) │
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│ │ shorts │ │
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│ │ │ │
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│ bs_ratio_signed │ flow directional │ x-axis OFFSET blob │
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│ (-0.5..+0.5) │ imbalance THIS minute │ (velocity bias) │
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│ │ │ │
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│ activity_excess │ excitation relative to │ ISOTROPIC center blob │
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│ (>= -1, unbounded) │ own 500-min baseline │ (density / energy) │
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│ │ │ │
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│ cvd_divergence │ coiled spring — flow │ VORTICITY RING │
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│ ($ / bps signed) │ without price response │ (rotational forcing) │
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└──────────────────────┴────────────────────────┴─────────────────────────┘
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SCALING DISCIPLINE
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No z-scoring. No rolling normalisation. Each tension is scaled to lattice
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units by a FIXED PHYSICAL CONSTANT documented in MAP_SCALE below. Cross-
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regime amplitude information is preserved: a 100bps funding day produces
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exactly 2× the dipole strength of a 50bps day. A panic flow imbalance
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produces 5× the velocity bias of a calm one. The lattice sees true
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market amplitude.
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ARMS
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A — control. No injection. Fresh baseline of the lattice's natural
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variability over the experiment window. (Re-captured even though
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we have an old arm A — field state may have drifted.)
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T — tension. All four patterns injected per minute, each from its native
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market value via fixed physical scale.
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PROTOCOL
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- Run arm A first (n minutes), save parquet
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- Cooldown 20 min (let field settle to a new baseline)
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- Run arm T (same n minutes), save parquet
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- Analyzer compares: does field state under arm T predict realized
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vol / direction at h=5,15,60 BETTER than (a) arm A field, and (b) the
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raw tensions themselves?
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REQUIREMENTS
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- Lattice daemon alive on 5556 (telemetry PUB) / 5557 (cmd SUB).
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- Must be launched via WSL setsid nohup (proven pattern from contstream).
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- Tag: --agent-owner=PAPERTRADER per AGENTS.md ledger (this is research,
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PaperTrader scope; lattice daemon itself is RESONANCE, untouched).
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Output: /mnt/d/Resonance_Engine/traj/tension_<RUN_ID>/
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meta.json
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funding_history.parquet (raw HL fundingHistory cached)
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arm_A_no_inject.parquet
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arm_T_tension.parquet
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progress.log
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é )Ú annotationsN)ÚPathz+/mnt/d/PaperTrader/research/hl_data/minutesÚBTCz 20260415*g Y@g @ç à?ç ð?ç @g @g €„.A)Úfunding_bps_per_strengthÚfunding_strength_capÚbs_ratio_per_strengthÚbs_ratio_strength_capÚactivity_per_strengthÚactivity_strength_capÚcvd_div_tanh_scaleiô é< )ç €@r g P@g X@g @@é éd éP i° ztcp://127.0.0.1:5556ztcp://127.0.0.1:5557) Ú asymmetryÚ coherenceÚ stress_xxÚ stress_yyÚ stress_xyÚvorticity_meanÚvel_meanÚvel_maxÚvel_varz https://api.hyperliquid.xyz/infoz
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%Y%m%dT%H%M%Sz%/mnt/d/Resonance_Engine/traj/tension_z progress.logc óþ — dt j d« › d| › �}t |d¬« t j dd¬« t
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j
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d« 5 }|j |dz « d d d « y # 1 sw Y y xY w) Nú[z%Y-%m-%dT%H:%M:%Sz] T)Úflush©ÚparentsÚexist_okÚaú
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)ÚtimeÚstrftimeÚprintÚOUT_DIRÚmkdirÚPROGRESSÚopenÚwrite)ÚmsgÚlineÚfs ú2/mnt/d/Resonance_Engine/market_tension_injector.pyÚlogr2 ” sl € Ø
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Œt�}‰}Ð 0Ó1Ð2°"°S°EÐ :€DÜ ˆ$�dÕÜ ‡M�M˜$¨€MÔ.Ü � ‰ �sÓ ð ˜qØ �‰��t‘ Ô ÷ ÷ ñ ús ÁA3Á3A<c ó, — e Zd ZdZdd„Zd„ Zdd„Zd„ Zy) Ú LatestTelz?Background thread holding the most-recent telemetry frame only.c ó` — t j j « | _ | j j t j
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« | _ | j j |« | j j t j d« | j j t j d« d | _ d| _ d| _
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t j « | _ t j" | j$ d¬« | _ | j& j) « y )Nó iÐ g r T)ÚtargetÚdaemon)ÚzmqÚContextÚinstanceÚctxÚsocketÚSUBÚsockÚconnectÚ
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Ü×"Ñ"¨$¯)©)¸DÔAˆŒØ �‰�
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�r6 c ó¨ — | j j « s©| j j d« rr | j j t
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c_ | j j « sŒ¨y y # t $ r Y Œ(w xY w)Nr é )rI Úis_setr? ÚpollÚ recv_stringr9 ÚNOBLOCKÚjsonÚloadsrD r& rE rF Ú Exception)rN Úraws r1 rK zLatestTel._run s� € Ø—*‘*×#Ñ#Ô%Ø�y‰y�~‰~˜cÔ"ðØ Ÿ)™)×/Ñ/´· ± Ó<�CÜ"&§*¡*¨S£/�D”KÜ'+§y¡y£{�DÔ$Ø—K’K 1Ñ$•Kð
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—*‘*×#Ñ#×%øô !ò Ùðús ·A1C à CÃCc ó2 — | j | j fS )N)rD rE ©rN s r1 ÚsnapshotzLatestTel.snapshot¸ s € Ø�{‰{˜D× ,Ñ ,Ð,Ð,r6 c óÆ — | j j « | j j d¬« | j j d« y # t $ r Y y w xY w)Né ©Útimeoutr )rI ÚsetrL Újoinr? ÚcloserY r\ s r1 ÚstopzLatestTel.stop» sI € Ø �
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�‰ÔØ �‰� ‰ ˜Qˆ Ô ð Ø �I‰I�O‰O˜AÕ øÜò Ù ð ús ¸A Á A Á A N)rO Ústr)Úreturnztuple[dict | None, float])Ú__name__Ú
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__module__Ú __qualname__Ú__doc__rP rK r] re © r6 r1 r4 r4 � s „ ÙIó ò ó-ór6 r4 c
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óª — t t j t › d| › �« « }|st d| › dt › �« ‚t dt |« › d|d j
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d« d › d|d j
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d« d › d �« g }|D ]L }t t j |› d
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�« « D ]& }|j t j |« « Œ( ŒN t j |d ¬ « }||j t k( j d
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« j d
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« j d ¬« }t dt |« › dt › �« |S )Nú/zno day dirs matching z in zloading z day dirs (r éÿÿÿÿz .. ú)z
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/*.parquetT)Ú ignore_indexÚminute©Údropzloaded z unique minutes of )ÚsortedÚglobÚ DATA_ROOTÚ RuntimeErrorr2 ÚlenÚsplitÚappendÚpdÚ read_parquetÚconcatÚcoinÚCOINÚ sort_valuesÚdrop_duplicatesÚ reset_index)Ú days_globÚday_dirsÚdfsÚdr0 Údfs r1 Úload_btcr‰ Å s@ € Ü”d—i‘i¤9 +¨Q¨y¨kÐ :Ó;Ó<€HÙ ÜÐ 2°9°+¸TÄ)ÀÐMÓNÐN܈(”3�x“=�/ ¨X°a©[×->Ñ->¸sÓ-CÀBÑ-GÐ,HÈÈXÐVXÉ\×M_ÑM_Ð`cÓMdÐegÑMhÐLiÐijÐkÔlØ
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€CØ
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ò +ˆÜœŸ ™ Q C zÐ"2Ó3Ó4ò +ˆAØ �J‰J”r—‘ qÓ)Õ *ñ +ð+ô
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i¬ « } t j j | d ¬
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t j |
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d j+ d« dz |
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S # 1 sw Y �Œ¼xY w)&z¾Pull HL fundingHistory for coin between [start_min, end_min] (minutes-since-epoch).
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Returns DataFrame[minute_floor_hour, funding_bps_annual] joined-ready.
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Caches raw JSON in `cache`.zusing cached funding: r éè z fetching HL fundingHistory for ú z -> ÚfundingHistory)Útyper Ú startTimeÚendTimez Content-Typezapplication/json)ÚdataÚheadersé r` Nro r& r rR g333333Ã?z&WARNING: empty fundingHistory responseÚ minute_hourÚfunding_bps_annual©ÚcolumnsÚint64i`ê Ú fundingRateÚfunding_rate_per_houri8" ç ˆÃ@Tr! zfunding rows: z mean=z+.2fz bps std=z bps range=z..)"Úexistsr2 r| r} ÚintrW ÚdumpsÚencodeÚurllibÚrequestÚRequestÚ HL_INFO_URLÚurlopenrX ÚreadÚdecodeÚextendÚgetr& ÚsleepÚ DataFrameÚastypeÚfloatr‚ r� Úparentr* Ú
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to_parquetry r• ÚmeanÚstdÚminÚmax)r Ú start_minÚend_minÚcacheÚstart_msÚend_msÚrows_allÚcursorÚbodyÚreqÚrÚchunkÚlast_tsrˆ s r1 Úfetch_funding_historyr¿ Ô sÈ € ð
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z
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t z z |d< |S )z?Per minute, compute the four native tensions in physical units.rr r Úminute_hour_floorr” r– Úleft)ÚonÚhowr• Ú funding_bpsÚ
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taker_buy_usdÚtaker_sell_usdr r Úbs_ratio_signedÚ trade_countrR é2 )ÚwindowÚ min_periodsr Úactivity_excessÚsigned_flow_usdé
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Ú mid_pricer› Úcvd_divergence)ÚcopyÚmergeÚrenameÚffillÚreplaceÚnpÚnanr« r¬ ÚshiftÚrollingÚROLL_ACTIVITY_WINr¯ Ú ROLL_CVD_WINÚsumÚabsÚEPS_BPS) rˆ ÚfundingÚoutÚdenomÚ rolling_meanÚsflowÚcvd_60ÚpxÚpx_nowÚpx_thenÚ pct_chg_bpss r1 Úcompute_tensionsrê s € à
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! CÐ(8Ñ$9Ñ
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N€FØ ˆ[Ñ × Ñ ¤Ó '€Bà�h‰h�q‹k€FØ�h‰h�qœ<Ñ'Ó(€GؘWÑ$¨Ñ/°'Ñ9×>Ñ>Ó@€KØ " k´GÑ&;Ñ <€CÐÑà €Jr6 c ó¤ — dt |« t |« t |« t |« dœ}| j t j |« « y )NÚinject_density)ÚcmdÚxÚyÚsigmaÚstrength)r¬ Ú send_stringrW rž )Úpubrî rï rñ rð Úpayloads r1 Ú _send_injectrõ ( s> € à&ܘ!“H¤5¨£8Ü ˜e› Ü ›?ñ,€Gð ‡O�O”D—J‘J˜wÓ'Õ(r6 c ó0 — t j |« sy|t d z }t t j |t d t d « « }t |« dk ryt \ }}t | |t z
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|| « t | |t z ||« y)uu Funding → x-axis dipole. Positive funding (longs paying) pushes +x,
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negative funding (shorts paying) pushes -x.Nr r
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ç�íµ ÷Æ°>) r× ÚisfiniteÚ MAP_SCALEr¬ ÚcliprÞ ÚCENTERrõ Ú
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DIPOLE_OFF)ró rÅ rñ ÚcxÚcys r1 Úencode_funding_dipolerÿ 1 s“ € ô �;‰;�{Ô #ØØœYÐ'AÑ BÑB€HÜ”R—W‘W˜X¬ Ð2HÑ(IÐ'IÜ(1Ð2HÑ(IÐ'IóKó L€Hä
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ˆ8ƒ}�tÒØÜ
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�F€BˆÜ��bœ:‘o r¨H¨9Ô5Ü��bœ:‘o r¨H¨9Õ5r6 c ó, — t j |« sy|t d z }t t j |t d t d « « }t |« dk ryt \ }}|dkD rdnd}t | ||t |z z t |« « y)u� bs_ratio_signed → y-axis offset blob. Positive = more buying = +y push.
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Y-axis chosen to keep funding (x-dipole) and bs_ratio orthogonal.Nr r r÷ r r g ð¿) r× rø rù r¬ rú rÞ rû rõ Ú
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OFFSET_OFF)ró rÈ rñ rý rþ Úsigns r1 Úencode_bsratio_velocityr @ s” € ô �;‰;�Ô 'ØØ ¤Ð+BÑ!CÑC€HÜ”R—W‘W˜X¬ Ð2IÑ(JÐ'JÜ(1Ð2IÑ(JÐ'JóLó M€Hä
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ˆ8ƒ}�tÒØÜ
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�F€BˆØ˜a’<‰4 T€DÜ��b˜"œz¨DÑ 0Ñ0´#°h³-Õ@r6 c óú — t j |« sy|t d z }t t j |t d dz t d « « }t |« dk ryt \ }}t | |||« y)uß activity_excess → isotropic center blob. Excess is always relative to
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own baseline so -1 (zero activity) is a meaningful 'cold' state. We allow
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NEGATIVE strength too — quiet minutes pull energy out of the field.Nr
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