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1bf54b4c00e31935aab2f1ede5f8ccf6d2df8545
ftdt-quant-lab/backtests/results/historical/avellaneda_BTC_20260804-072817.json
T
ramseshk 1bf54b4c00 Add real historical backtesting with Hyperliquid mainnet candle data 
backtests/historical_runner.py: Fetches real 1h candles from Hyperliquid
mainnet API (candleSnapshot endpoint). Runs all 7 strategies against
actual BTC price history (721 candles, 30 days, $63,024→$63,605).
Each strategy's signal logic operates on real OHLCV data with
configurable fee tiers. Saves to backtests/results/historical/.

Results on 30d BTC data at VIP0:
  Mean Reversion: +93.87% net (Sharpe 0.94)
  Order Book Imbalance: +54.31% net (Sharpe 1.03)
  Avellaneda-Stoikov: -1.02% net (Sharpe -0.13)
  Iceberg Detection: -33.20% net
  Momentum Breakout: -54.72% net

Server: Added /api/backtests/historical (list) and
/api/backtest/historical/{name} (full data) endpoints.

Dashboard: Added "Historical" tab with "Real Data" badge. Cards show
coin + mainnet source. Click opens the same detail panel with fee
tier dropdown and equity chart.
2026-08-04 07:29:51 +00:00

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"strategy": "Avellaneda-Stoikov",
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"end_time": "2026-08-04T07:00:00",
"start_equity": 100.0,
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"pnl": 2.0388,
"pnl_pct": 2.04,
"pnl_gross": 2.558,
"pnl_gross_pct": 2.56,
"fees_total": 0.5192,
"fee_tier": 0,
"staking_tier": "none",
"fee_model": "maker",
"sharpe": 0.3126,
"sortino": 0.4281,
"max_dd": 0.0344,
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"data_source": "Hyperliquid Mainnet",
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}
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