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1bf54b4c00e31935aab2f1ede5f8ccf6d2df8545
ftdt-quant-lab/backtests/results/historical/iceberg_BTC_20260804-072903.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

3175 lines
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{
"strategy": "Iceberg Detection",
"strategy_key": "iceberg",
"coin": 1783234800000,
"allocation": 100.0,
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"end_time": "2026-08-04T07:00:00",
"start_equity": 100.0,
"end_equity": 66.8,
"pnl": -33.2,
"pnl_pct": -33.2,
"pnl_gross": -22.311,
"pnl_gross_pct": -22.31,
"fees_total": 10.889,
"fee_tier": 0,
"staking_tier": "none",
"fee_model": "taker",
"sharpe": -0.0894,
"sortino": -0.1114,
"max_dd": 0.6822,
"max_dd_pct": 68.22,
"win_rate": 0.0,
"total_trades": 26,
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}
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