Trend Sensitivity
How aggressively AI reacts to trend changes (Low/Medium/High)
Definition
Trend Sensitivity controls how aggressively the AI's trend detection system reacts to changes in average multipliers. It's a multiplier applied to the minimum trend change threshold. Low sensitivity requires larger percentage changes before declaring a trend (conservative, fewer false positives). Medium sensitivity uses standard thresholds (balanced). High sensitivity detects trends from smaller changes (aggressive, more signals but some false positives). This allows you to tune the AI's responsiveness to match your risk tolerance and playing style.
Example
Base min trend change: 15%. Low sensitivity (×0.7) = requires 21% change to detect trend. Medium (×1.0) = requires 15% change (standard). High (×1.3) = requires only 11.5% change to detect trend. With high sensitivity, a shift from 2.5x to 2.8x (+12%) triggers upward trend alert. With low sensitivity, that same shift is considered sideways/neutral.
💡Strategy Tip
Choose based on style: Conservative/Beginners = Low (fewer but stronger signals), Moderate/Most players = Medium (balanced approach), Aggressive/Experienced = High (catch trends early, accept some false signals). Higher sensitivity means more betting adjustments but also more whipsaws. Start with Medium.