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WASM ENGINE: INITIALIZING...

Institutional Quant Backtest Lab

Execute high-fidelity historical simulations of the proprietary Candle Step Rider (CSR) decision engine directly inside your browser. Powered by native WebAssembly (WASM) compiled from Rust with tick-level M1 sub-bars, dynamic auto-TP hooks, and zero server lag.

Why Do Backtest Simulations Outperform Historical Live Trading? ALGORITHM UPGRADE (v3.0)

The Quant Backtest Lab executes simulations using our latest, fully optimized v3.0 decision engine (incorporating H1 Storm Floor 6.0 pts, Hook Rebound 2.0 pts, 60-Minute Stagnation Cut Loss, and Storm Missed-Order Bypass). In contrast, our public Live Trading Ledger records actual real-world executions from prior operational months when earlier algorithm iterations were running before these recent risk enhancements were deployed.

Simulation Configuration

Strategy: CSR Engine Live VPS Synced
Take Profit / Stop Loss +16.0 pts / -8.0 pts
Auto BEP Shield +4.5 pts (+0.75 buf)
Dynamic Auto TP 4 Tiers (T1–T4, T0 OFF)
Dynamic Risk Limits Floor $20 / Loss $15 (scaled by lot)
$
Loading candle sync status... Edge D1
Zero server latency: 100% computed client-side in compiled native WebAssembly.
Net Profit
+$0.00
+0.0% ROI
Win Rate
0.0%
0 W / 0 L
Profit Factor
0.00
GP / GL
Max Drawdown
0.0%
-$0.00
Recovery Factor
0.00
Net / Max DD
Total Trades
0
Edge WASM
Asia Session (02:00 - 07:00 UTC)
+$0.00
Win Rate: 0.0%
0 trades
London Session (07:00 - 09:00 UTC)
+$0.00
Win Rate: 0.0%
0 trades

Dynamic Equity Curve

Real-time portfolio trajectory with intra-bar drawdowns

Strategy Equity
Initial Balance
Edge Telemetry Event Replay
# Entry Time (WIB | UTC) Close Time (WIB | UTC) Session Type Lot Entry Exit Points Profit (USD) Outcome Trigger
Click "⚡ Run Institutional Backtest" above to compute strategy results.
ZERO RETAIL EA BOT INSTALLATION REQUIRED

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