Total Return
—
Sharpe
—
Max DD
—
Win Rate
—
Sortino
—
Calmar
—
Profit Factor
—
Trades
—
Backtest Config
Strategies
Execution Layer▼
AGE DNA supplies per-trade stop/target multipliers when available; these are the fallback. The drawdown governor scales position size down (never to zero) as equity nears the Settings > Risk Management limit.
Monte Carlo▼
Optimizer▼
RL Training SB3▼
Trains on the symbol / timeframe / bars from Backtest Config, through the same orchestrator + execution engine.
Trained Models
No trained models yet.
Multi-TF Sweep▼
Equity / Regimes / Trades
Regime Decoder — Confidence / Hurst / Efficiency
Confidence
Hurst
Efficiency
background = regime
Per-Regime Performance
Run a backtest to see regime data.
Strategy Metrics
Run a backtest to see strategy data.
Trade Log
No trades yet.
Drawdown Curve
Regime Distribution
Trade Scatter — Return vs Bars Held
Monte Carlo Return Distribution
Parameter Sensitivity (correlation with score)
Per-Bar Return Distribution
3D Parameter Space (drag to rotate)
3D Regime-Equity Surface (drag to rotate)
3D Optimizer Swarm (drag to rotate — gold = Pareto front)
Run a backtest — the comprehensive report generates here automatically.
Run a Multi-TF Sweep — every timeframe is ranked here with equity curves and a verdict.
AI Strategy Advisor
I'm your strategy copilot. Ask me to analyze the last run, optimize parameters, or compare timeframes — I can run backtests and optimizations myself, and I remember every suggestion and A/B result across sessions.
🧠 Advisor Memory
Every suggestion, A/B outcome and advisor-run optimization — fed back into the advisor's prompt each session.
No memories yet.
Export
The Full Report tab fills automatically after each run. This opens a printable copy.