A written reference on order fill probability — how it works, how to configure it, and where it breaks under load.
How It Works
The internal mechanics of order fill probability tie together data ingestion, signal computation, and order handling into one pipeline.
Configuration
Parameter choices in order fill probability shape both signal quality and operational load. Record every change and the reason for it.
Failure Modes
Documenting how order fill probability fails teaches more than documenting how it succeeds. Regime shifts, infrastructure faults, and drift top the list.
Evaluation
Assess order fill probability with fixed look-ahead-free tests, then stress the operational side before calling it production-ready.
Configuration Reference
# Order Fill Probability 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 |