Discussing the article: "Larry Williams Market Secrets (Part 7): An Empirical Study of the Trade Day of the Week Concept"
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Check out the new article: Larry Williams Market Secrets (Part 7): An Empirical Study of the Trade Day of the Week Concept.
An empirical study of Larry Williams’ Trade Day of the Week concept, showing how time-based market bias can be measured, tested, and applied using MQL5. This article presents a practical framework for analyzing win rates and performance across trading days to improve short-term trading systems.
Larry Williams observed that markets do not distribute opportunity evenly across time. In his research, price movement was not random when grouped by calendar days. Certain days showed a tendency toward stronger follow-through, while others more often led to stalled or failed moves. This behavior was not tied to a specific indicator or pattern, but to time itself.
The key insight is that time can act as a conditional filter. When a market is more likely to expand or trend on specific days, trades taken on those days carry a different probability profile than trades taken on less responsive days. Williams did not argue that a particular day guarantees success, but rather that some days statistically offer better conditions for short-term participation than others.
This idea becomes especially relevant in short-term trading systems. Such systems rely on limited holding periods and small margins of error. Even minor improvements in trade selection can materially affect outcomes. If a strategy performs the same way every day, it may be unintentionally averaging good conditions with poor ones. Filtering trades by day of the week can reduce exposure during periods that historically offer less favorable behavior, thereby improving overall efficiency without changing the core entry logic.
The Trade Day of the Week concept is well-suited for empirical testing because it is clearly defined, measurable, and repeatable. Days of the week are objective time categories that do not change across platforms or data sources. Each trading day can be classified unambiguously, and performance metrics such as win rate can be computed and compared directly. This makes the concept ideal for statistical analysis, walk-forward testing, and replication across different markets and time periods.
Author: Chacha Ian Maroa