A written reference on time based performance — how it works, how to configure it, and where it breaks under load.
How It Works
At the core of time based performance sits a chain of transformations that turns raw market data into decisions an engine can act on.
Configuration
Configuring time based performance comes down to a handful of parameters. Vendor defaults suit demos; production deserves its own tuning pass.
Failure Modes
Documenting how time based performance fails teaches more than documenting how it succeeds. Regime shifts, infrastructure faults, and drift top the list.
Evaluation
Assess time based performance with fixed look-ahead-free tests, then stress the operational side before calling it production-ready.
Configuration Reference
# Time Based Performance 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 |