Detail
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Strategy Research Pipeline
RESEARCH LAB
Fake alpha dies here. Click anything.
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Combos scanned
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Shortlisted
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Survived gate
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Killed by gate
Layer 1 SCAN vectorbt – LIVE
β†’
Layer 2 OPTIMIZE Optuna – LIVE
β†’
Layer 3 βš”οΈ REALITY GATE hftbacktest – LIVE
β†’
Layer 4 MEMORY GraphRAG not wired FUTURE
β†’
Layer 5 RESEARCH AutoResearchClaw sandbox only SANDBOX ACTIVE
πŸ›° AutoResearchClaw β€” Research Launcher SANDBOX ACTIVE Never touches execution Β· outputs to reports/
Ready
Sessions to run:
1 session Β· select presets below
πŸ”¬
Microstructure
Fill modeling, queue position, latency
βš™οΈ
Execution Costs
Realistic crypto perpetuals costs
πŸ“Š
Strategy Compare
Reversion vs breakout vs momentum
🌊
Regime Detection
EMA, HMM, volatility clustering
πŸ’°
Funding Carry
Academic + practitioner funding research
☠️
Failure Analysis
Backtest-to-live divergence post-mortems
πŸ™
GitHub Scout
Recent open-source strategy improvements
✏️
Custom Topic
Type your own research question
Select at least 1 preset to launch
βš”οΈ Realism Gate β€” Where Fake Alpha Goes to Die LIVE DATA
0.16%/side Β· 3bps slip Β· 1-bar lag Β· 85% fill –
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Survived
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Killed
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Tested
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Survival rate
Pass threshold: Sharpe β‰₯ 1.0 after realistic execution = threshold line on bars –
Gate Rules LIVE
βœ“PASS: realistic Sharpeβ‰₯ 1.0
βœ—FAIL: degradation from ideal β†’ realistic> 70%
βœ—BLOCKED: trade count below minimum< 20 trades
βœ—WARN: statistical reliability threshold< 30 trades
βš™Fill model: fee per side / slippage / latency / fill rate0.16% / 3bps / 1bar / 85%
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Candidates LIVE DATA
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SCAN:
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Strategy Sharpe β–Ό Monthly DD WR Trades Status
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Research Feed LIVE
Active
research-lab β€” live
Initializing…
Best Optimized Params LIVE DATA
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No optimization run yet
⚠ Data Quality LIVE DATA
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High Sharpe with tiny samples is a con artist in a suit. These candidates are flagged:
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Rule: <30 trades β†’ statistically meaningless. <20 β†’ blocked from gate. Sharpe is a liar at small N.
🧠 Failure Intelligence PARTIAL β€” GraphRAG FUTURE
Live
Known Failures (from Ledger)
RSI mean reversion β€” slippage/fee sensitive
Colosseum EA β€” 133k gens, zero fitness signal
80%+ WR target β€” wrong fitness metric
Tiny-sample Sharpe β€” misleading, discard
ATR breakout β€” survived gate (Sharpe 3.21 real)
Failure Memory ● LIVE
Similar failures found–
Dominant failure mode–
Risk patterns–
Novelty vs repetition–
Click a candidate row to see failure intelligence
Upgrade Stack STATIC
Click any repo for path, status, integration details
πŸ“¦ Backtesting Data Inventory LIVE DATA Local disk Β· gitignored Β· never touches execution
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Total OHLCV
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Symbols
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Timeframes
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OHLCV files
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Research studies
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Backtest results
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Hard Rules β€” DO NOT DO STATIC
No Exceptions Β· Ever
  • βœ•Auto-edit production without review
  • βœ•Bypass the governor
  • βœ•Skip the realism gate before paper
  • βœ•Let research tools touch execution
  • βœ•Merge experimental paths into live
  • βœ•Use org tools as execution engines
  • βœ•Optimize only for headline return
  • βœ•Trust tiny samples (<30 trades)
  • βœ•Promote without operator GO
  • βœ•Hide stale data or silent failures
  • βœ•Use AutoResearchClaw for live signals
  • βœ•Claim improvement without evidence
COMPARE:
Select 2–4 candidates from the table above