Confirmation Layers

Entry signals from RSI and Bollinger Bands can be improved through additional confirmation layers. QuanterLab employs 20 confirmation indicators organized into four groups to filter for higher-quality mean reversion opportunities.

Group A: Trend & Regime Filters

These confirm the market is suitable for mean reversion:

  • ADX (Average Directional Index) - Values below 25 indicate a ranging market. Higher values suggest trending conditions where mean reversion is less effective.
  • Hurst Exponent - Confirmation of mean-reverting regime (H < 0.45)
  • Variance Ratio - Additional mean reversion check (VR < 1.0)
  • Half-Life - Speed of reversion within acceptable range
  • MA Slope - Ensures not fighting a steep trend (slope > -0.05)

Group B: Volume & Flow

Volume confirmation helps validate price action:

  • OBV (On-Balance Volume) - Divergence detection between price and volume
  • CMF (Chaikin Money Flow) - Buying pressure above 0 supports bounce
  • VWAP - Volume-weighted average price context
  • A/D Line - Accumulation/Distribution trend
  • RVOL (Relative Volume) - Elevated participation (> 1.5) can confirm interest

Group C: Volatility & Sentiment

Market conditions that affect mean reversion success:

  • ATR Trend - Average True Range analysis for volatility context
  • BB Width Trend - Volatility compression/expansion detection
  • Beta - Moderate beta (< 1.2) preferred for more predictable behavior
  • Higher Low Check - Absence of new lows supports reversal
  • Ichimoku Cloud - Consolidation detection

Group D: Market Breadth & Relative Strength

Context from broader market:

  • S&P 500 Correlation - High correlation (> 0.7) means stock moves with market
  • Sector Relative Strength - How stock performs vs. its sector
  • EMA Cross (9/21) - Short-term momentum context
  • Price vs VWAP - Intraday positioning
Confirmation Logic
  • Each confirmation layer is independently evaluated
  • More confirmations = higher quality signal
  • Critical filters (like ADX < 25) may be required
  • Secondary filters improve but don't require all passing

Why Multiple Layers?

Any single indicator can give false signals. By requiring multiple independent confirmations, the platform filters out lower-quality opportunities:

Quality Over Quantity

Fewer trades with higher probability of success typically outperform frequent trading with mixed signal quality. Confirmation layers sacrifice some opportunities for improved win rates.

Customization

The Strategy Builder allows users to select which confirmation layers to apply, enabling customization based on trading style and market view.

Back to QuanterLab
Report
Loading report...
Article
Loading article...