Testing Day-of-Week Effects with a Volatility Breakout Strategy

Summary

This article proposes an empirical test of whether short-term market behavior differs by weekday, drawing on Larry Williams’ Trade Day of the Week concept. Its controlled setup uses a volatility-based entry level projected from the prior day’s range and today’s open. Positions are held until the end of the trading day, with stops, targets, and other trade-management rules omitted to keep the comparison focused on the entry day. An MQL5 Expert Advisor supports an unfiltered baseline and tests that select particular weekdays.

The conclusion says tests on Gold, including quarterly walk-forward experiments, found differences in win rate and profitability among weekdays across multiple market phases. The supplied text gives no specific performance figures or full statistical details, so the strength and reliability of those findings cannot be assessed here. The simplified one-session design is useful for isolating weekday effects, but its win-rate focus and omission of risk controls limit its relevance to deployable trading. Results would need replication across markets and periods, with costs and risk-adjusted metrics considered.

Key ideas

• The study treats weekday as a conditional filter that may change a short-term strategy’s probability profile.
• Its entry rule projects a volatility breakout level from the prior day’s range and the current open.
• Trades are closed at the end of the session to make weekday outcomes comparable.
• An MQL5 Expert Advisor supports comparisons between all-day trading and selected-weekday filters.
• The conclusion reports weekday performance differences on Gold, but the supplied text provides no figures or detailed statistical evidence.
• The simplified experiment does not include trade management or establish live-trading profitability.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.