System

Parameters

25 Aug 2026 · 06:47 IST
How to read this page
HELLO currently operates with 8 signals actively determining today's trades, supported by 18 additional signals running in the background as 'shadow' signals that are computed and recorded against real data each cycle but not yet permitted to influence live trades. The gate between shadow and live operation exists deliberately: a signal only earns a vote in actual trading decisions after being checked against real historical outcomes, rather than on the basis of logic alone. At present, all 18 shadow signals are successfully retrieving real data most cycles, with any gaps honestly logged as such—typically due to missing data sources—rather than concealed. Importantly, a signal moves from shadow to live status only as a deliberate choice made after backtesting against Dhan's historical option data confirms it actually improves results, not automatically when data retrieval proves functional.
FII Data F&O positioning · cash flow · Stage 1 smart-money readout Institutional Sync Playbook Dhan-validated · 348 sessions · best stack 9/12 (75%) hold-to-close Playbook Scanner Research only · 4 live setup reads, MATCHED/WAITING, never auto-fired Sector Rotation Research only · 15-stock relative strength · real breadth for the 5 banks only
Live — feeds the actual score
participant_sync_signal.py
Stage 1 direction — FII/Pro futures+options trend, cash-leg agreement, hedge-vs-conviction filter
trap_signal_logic.py
OI persistence, multi-touch rejection, premium spike-collapse, dynamic wall-chase
gamma_exposure_signal.py
Gamma exposure profile — call/put wall, gamma flip, option-buyer favorability
max_pain_gravity_signal.py
Whether max pain itself is relocating toward the signal's direction
liquidity_gate.py
Spread/volume/OI tradeability check on the actual strike a decision is about
constituent_buildup_signal.py
Top-10 heavyweight buildup confluence parameter — went live 5 Jul 2026 once real security IDs were confirmed
dynamic_confluence_engine.py
Orchestration — regime classification, dynamic weighting, dual-gate firing
option_buyer_playbook.py
Translates a confirmed signal into a concrete option-buyer trade plan
Shadow — validating, not yet scoring
Ai Brain Verdict
Retrieving real data 100% of logged cycles (38 OK / 0 skipped / 0 errored)
Ai Brain Verdict Grade
Retrieving real data 100% of logged cycles (38 OK / 0 skipped / 0 errored)
Constituent Trend
Retrieving real data 65% of logged cycles (7099 OK / 3777 skipped / 0 errored)
Cross Index Lead Lag
Retrieving real data 93% of logged cycles (10134 OK / 742 skipped / 0 errored)
Institutional Confirmation
Retrieving real data 63% of logged cycles (6833 OK / 4043 skipped / 0 errored)
Institutional Write Reversal
Retrieving real data 52% of logged cycles (1712 OK / 1588 skipped / 0 errored)
Iv Regime
Retrieving real data 100% of logged cycles (10849 OK / 27 skipped / 0 errored)
Multi Timeframe
Retrieving real data 96% of logged cycles (10453 OK / 423 skipped / 0 errored)
Oi Behavior
Retrieving real data 100% of logged cycles (10863 OK / 13 skipped / 0 errored)
Second Brain Ai Edge Scan
Retrieving real data 100% of logged cycles (95 OK / 0 skipped / 0 errored)
Second Brain Ai Inputs Snapshot
Retrieving real data 100% of logged cycles (316 OK / 0 skipped / 0 errored)
Second Brain Ai Self Calibration
Retrieving real data 100% of logged cycles (1 OK / 0 skipped / 0 errored)
Second Brain Ai Verdict
Retrieving real data 100% of logged cycles (333 OK / 0 skipped / 0 errored)
Second Brain Ai Verdict Grade
Retrieving real data 100% of logged cycles (114 OK / 0 skipped / 0 errored)
Second Brain Move Commentary
Retrieving real data 100% of logged cycles (2466 OK / 0 skipped / 0 errored)
Strike Concentration Strength
Retrieving real data 100% of logged cycles (10863 OK / 13 skipped / 0 errored)
Trader5 Institutional Desk
Retrieving real data 100% of logged cycles (24 OK / 0 skipped / 0 errored)
Vol Skew
Retrieving real data 100% of logged cycles (10870 OK / 6 skipped / 0 errored)
Designed, not yet built
Volume Profile + Breadth
Fully designed, on hold per your own call
Dealer Positioning & Writer-Intent Layer
Design v2 complete, parked at roadmap priority 3 pending backtest evidence
Position Lifecycle Engine
Your own "highest priority" per the original PW Edge Pro additions doc — day-phase classification (Fresh Long Build-up -> Short Covering -> ... -> Long Unwinding)
OI Migration Engine
Track positions moving between strikes — overlaps conceptually with strike_concentration_strength.py's zone tracking
Position Acceptance Engine
Time-based level acceptance — overlaps with the Writer-Intent Layer's PRICE_ACCEPTANCE state
Institutional Battle Map
Visualization of buyer/seller concentration — not started
Position Stress Meter
Writer stress via OI/premium/IV/theta — overlaps with oi_behavior_signal.py and the theta/gamma-burst risk scores sitting unintegrated in the old constituent_greeks_package
Intraday Narrative Timeline
Auto-generated story of the day — conceptually close to commentary.py, but as a timeline rather than a point-in-time read