Field notes on slippage estimation in automated trading: mechanics, configuration, and the pitfalls that surface in production.
How It Works
slippage estimation operates as a pipeline: ingest, compute, decide, route. Each stage has its own ways to break.
Configuration
Parameter choices in slippage estimation shape both signal quality and operational load. Record every change and the reason for it.
Failure Modes
The failure record for slippage estimation includes regime changes, missed heartbeats, and positions that could not be closed gracefully.
Evaluation
An honest evaluation of slippage estimation weighs quantitative metrics alongside code quality and how much attention it demands in production.
Configuration Reference
# Slippage Estimation 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 |