Everything worth keeping on coppock curve in bot-driven trading: core mechanics, parameter choices, failure record.
How It Works
coppock curve operates as a pipeline: ingest, compute, decide, route. Each stage has its own ways to break.
Configuration
Parameter choices in coppock curve shape both signal quality and operational load. Record every change and the reason for it.
Failure Modes
Documenting how coppock curve fails teaches more than documenting how it succeeds. Regime shifts, infrastructure faults, and drift top the list.
Evaluation
An honest evaluation of coppock curve weighs quantitative metrics alongside code quality and how much attention it demands in production.
Configuration Reference
# Coppock Curve 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 |