Quanta exoTrader Algorithm Tuning

This guide explains how to tune exoTrader in a controlled sequence so changes are measurable and reversible.

Tuning Principles

• Tune one parameter group at a time.
• Keep a written baseline before each change.
• Validate over enough cycles and more than one regime.
• Prefer stability over short-term improvement snapshots.

Tuning Order (Recommended)

1. Execution stability first
   Confirm timers, refresh logic and order lifecycle controls are stable.

2. Risk controls second
   Validate BEP filters, partial sell behaviour and exposure caps.

3. Signal sensitivity third
   Adjust WaveTrend/RSI/Bollinger settings only after execution and risk controls are stable.

4. Scaling fourth
   Increase size only when metrics remain coherent after tuning.

Signal Tuning Controls

• WaveTrend controls: WT_CH_LENGTH, WT_AVG_LENGTH, WT_SMA, OB_LEVEL_ONE, OS_LEVEL_ONE
• RSI controls: RSI_LENGTH, BUY_RSI_LEVEL, SELL_RSI_LEVEL, USE_RSI_BUY, USE_RSI_SELL
• Bollinger controls: BB_PERIOD, BB_STDEV, USE_BBANDS_BUY, USE_BBANDS_SELL

Practical Tuning Patterns

• Too many low-quality trades
  Increase confirmation strictness (longer smoothing, stricter thresholds, enable filters).

• Signals too slow
  Reduce smoothing or relax thresholds incrementally, then re-check false-signal rate.

• Over-frequent same-side trades
  Increase side timer multiples and verify cooldown behaviour.

• Weak profit capture on exits
  Revisit partial sell ratio/gain and sell-side confirmations.

Validation Checklist After Any Change

• Cycle timing still healthy.
• Order refresh/cleanup still deterministic.
• Risk controls still triggering correctly.
• PnL quality and drawdown profile still acceptable.

Tuning is successful when behaviour improves without degrading control quality.