FEATURE-003 — Strategy Backtest AI Grid Trader Wireframe
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Backtest complete — 90 days simulated, 47 trades executed Runtime: 2.3s
Parameters
Backtest
History
Backtest Parameters
+$2,847
Net Profit
+28.5%
Total Return
1.87
Profit Factor
−8.3%
Max Drawdown
Equity Curve Dec 20 — Mar 20
DD: −8.3% $10,000 $12,847
Detailed Statistics
Total Trades 47
Win Rate 68.1%
Avg Win +$132.40
Avg Loss −$68.20
Sharpe Ratio 1.42
Grid Deployments 12
Take Profits Hit 9
Hedges Triggered 3
Avg Holding Time 4.2 hours
Trade Log Showing last 8 of 47 trades
# Date Signal Side Entry Exit Size PnL Duration
47 Mar 18 DeployGrid Long $67,420 $67,960 0.15 +$81.00 3.2h
46 Mar 16 DeployGrid Long $66,890 $67,340 0.15 +$67.50 5.1h
45 Mar 14 DeployGrid Long $67,100 $66,780 0.60 −$192.00 8.4h
44 Mar 14 OpenHedge Short $66,620 $66,410 0.30 +$63.00 1.8h
43 Mar 12 TakeProfit Sell $66,200 $66,730 0.60 +$318.00 6.0h
42 Mar 10 DeployGrid Long $65,800 $66,240 0.15 +$66.00 4.5h
41 Mar 8 DeployGrid Long $65,500 $65,200 0.45 −$135.00 7.2h
40 Mar 6 TakeProfit Sell $64,900 $65,420 0.60 +$312.00 5.8h
ℹ
Backtest Engine
Backtesting uses the same StrategyEngine, GridController, and RiskEngine as live trading (replay architecture). Candle data is replayed sequentially — the engine only sees confirmed closes, matching production behaviour. Simulated execution accounts for slippage (0.05%) and Hyperliquid maker/taker fees.