Field notes on prediction market bots in automated trading: mechanics, configuration, and the pitfalls that surface in production.
How It Works
The internal mechanics of prediction market bots tie together data ingestion, signal computation, and order handling into one pipeline.
Configuration
Parameter choices in prediction market bots shape both signal quality and operational load. Record every change and the reason for it.
Failure Modes
The failure record for prediction market bots includes regime changes, missed heartbeats, and positions that could not be closed gracefully.
Evaluation
Judge prediction market bots on measured outcomes — distribution of returns, drawdown depth, operational burden — not on a single lucky stretch.
Configuration Reference
# Prediction Market Bots 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 |