Everything worth keeping on hull moving average in bot-driven trading: core mechanics, parameter choices, failure record.
How It Works
At the core of hull moving average sits a chain of transformations that turns raw market data into decisions an engine can act on.
Configuration
A hull moving average setup accepts several knobs worth documenting. Start from defaults, then adjust against measured behaviour.
Failure Modes
Documenting how hull moving average fails teaches more than documenting how it succeeds. Regime shifts, infrastructure faults, and drift top the list.
Evaluation
Judge hull moving average on measured outcomes — distribution of returns, drawdown depth, operational burden — not on a single lucky stretch.
Configuration Reference
# Hull Moving Average 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 |