ZigZag Wave-Length Signals and the Risks of Averaging
Summary
The article introduces a quantitative trading idea that measures bullish and bearish price waves with the ZigZag indicator. It compares the latest movement with average wave lengths over a historical window, then uses that comparison to generate buy or sell decisions. The MQL5 Expert Advisor includes volatility-scaled stop and take-profit settings, optional profit-based closing, and experiments with closing positions when the signal reverses.
The author reports that tests produced large drawdowns on both hedging and netting accounts, and that signal-based exits did not make the results profitable. The article also discusses spread analysis, statistical arbitrage, portfolio risk models, and the LTCM collapse to illustrate the danger of treating historical relationships as reliable under stress. Its central caveat is that extreme market moves and changing conditions can overwhelm statistical assumptions, especially when averaging and leverage increase exposure. The proposed wave method is an exploratory example, not a validated trading strategy.
Key ideas
- The strategy measures price swings with ZigZag and compares them with historical average movement lengths.
- The Expert Advisor uses ATR-based trade exits and offers profit-based or signal-based position closing.
- Backtests described in the article showed substantial drawdowns and did not establish a profitable result.
- Averaging and leverage can magnify losses when market relationships break down.
- Quantitative models should account for extreme events and the limits of historical statistical assumptions.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.