A mapped reference for slippage estimation — how it runs, how to configure it, and where it runs aground under load.
Mechanics
The mechanics of slippage estimation form one pipeline: raw market data in, computed signal out, decision routed to the order engine.
Waypoints (Configuration)
The slippage estimation setup exposes a few documented knobs. Begin at defaults, then adjust against measured behaviour, keeping a written record.
Wreck Record (Failure Modes)
Recorded failures for slippage estimation include regime changes, missed heartbeats, and positions that could not be exited cleanly.
Navigation Checks (Evaluation)
Evaluate slippage estimation on measured outcomes — return distribution, drawdown depth, operational burden — never on one lucky stretch.
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 |