A written reference on backtesting methodology — how it works, how to configure it, and where it breaks under load.
How It Works
backtesting methodology operates as a pipeline: ingest, compute, decide, route. Each stage has its own ways to break.
Configuration
Parameter choices in backtesting methodology shape both signal quality and operational load. Record every change and the reason for it.
Failure Modes
backtesting methodology breaks in recognizable ways: silent data gaps, parameters that stopped matching the market, and latency spikes at the worst moment.
Evaluation
Assess backtesting methodology with fixed look-ahead-free tests, then stress the operational side before calling it production-ready.
Configuration Reference
# Backtesting Methodology tested configuration mode: production timeframe: auto risk_limits: max_drawdown: 15 percent max_position: 3 percent monitoring: alert_threshold: 0.5 report_interval: hourly
Parameter Impact
| Parameter | Effect | Trade-off |
|---|---|---|
| timeframe | Signal frequency | Higher means fewer but more reliable signals |
| risk_limit | Maximum exposure | Lower means safer but slower returns |
| lookback | Indicator sensitivity | Longer means smoother but lagging |