Combining Wyckoff, Volume Profile, Mean Reversion, and Trend Signals
Summary
This swing-trading framework combines four kinds of analysis: Wyckoff market phases, simplified volume-profile levels, mean-reversion signals, and trend following. It uses price and volume to classify accumulation or distribution, POC and value-area levels to mark potential support and resistance, Bollinger Bands and RSI divergence to identify extremes, and moving averages, MACD, and price structure to assess trend direction. Signals require confirmation across components, with optional entry and exit rules and risk controls described in the accompanying strategy discussion.
The document outlines ATR-based stops and targets, trailing stops, time-based exits, and equity-based position sizing. It also cautions that many adjustable parameters create overfitting risk, confirmations can delay entries, and indicators can mislead during changing market conditions. It provides no measured performance results. The text says the implementation mainly uses a single timeframe, despite the multi-timeframe framing, and presents adaptive parameters, machine learning, and expanded timeframe analysis as possible future improvements rather than demonstrated features.
Key ideas
- Wyckoff phases and price-volume behavior are used to frame possible accumulation, markup, distribution, and markdown conditions.
- Simplified volume-profile levels identify prices that may act as support or resistance.
- Bollinger Bands and RSI divergence inform mean-reversion entries, while moving averages and MACD assess trend direction and momentum.
- The framework combines signals from multiple components and describes ATR-based exits and equity-based position sizing.
- The document warns about overfitting, delayed entries, and indicator failure, and reports no performance evidence.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.