Discussing the article: "Larry Williams Market Secrets (Part 12): Context Based Trading of Smash Day Reversals"
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Check out the new article: Larry Williams Market Secrets (Part 12): Context Based Trading of Smash Day Reversals.
This article shows how to automate Larry Williams Smash Day reversal patterns in MQL5 within a structured context. We implement an Expert Advisor that validates setups over a limited window, aligns entries with Supertrend-based trend direction and day-of-week filters, and supports entry on level cross or bar close. The code enforces one position at a time and risk-based or fixed sizing. Step-by-step development, backtesting procedure, and reproducible settings are provided.
Smash Day patterns are appealing, but trading them without structure often leads to noisy signals and unnecessary losses. The pattern can appear frequently, and without clear rules for context, timing, and validity, it becomes difficult to separate meaningful reversals from random price movement. Larry Williams repeatedly emphasized that Smash Day patterns should not be traded in isolation, but as part of a broader decision process.
This article addresses that problem by turning Smash Day reversals into an objective, rule-based system that can be automated and tested. Instead of relying on visual interpretation, every decision is expressed in measurable, consistent logic that can be evaluated across markets and timeframes.
This work is intended for algorithmic traders and MQL5 developers who want to automate, test, and objectively study Smash Day patterns. It is also suitable for traders who want to understand how Larry Williams’ ideas can be translated into precise execution rules without discretion.
In this article, a complete Expert Advisor is built that trades Smash Day reversals with optional context filters. Trend direction can be enforced using the Supertrend indicator, trades can be limited by day of the week, and each setup is given a fixed validity window. These elements are designed to reduce noise, limit unnecessary trades, and make testing results easier to interpret. By the end of the article, Hidden Smash Day patterns are no longer treated as standalone signals, but as part of a structured framework that can be tested, modified, and extended.
Author: Chacha Ian Maroa