Discussing the article: "Larry Williams Market Secrets (Part 14): Detecting Hidden Smash Day Reversals with a Custom Indicator"

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Check out the new article: Larry Williams Market Secrets (Part 14): Detecting Hidden Smash Day Reversals with a Custom Indicator.

This article develops a practical MQL5 indicator that identifies Hidden Smash Day bars by strict numeric criteria and optional confirmation on the following session. We cover detection routines, buffer registration, and plot configuration to place arrows at valid bars. The approach delivers stable, non-repainting signals for historical testing and real-time monitoring.

For algorithmic traders and MQL5 developers, this ambiguity becomes a practical problem. Trading systems require deterministic rules that behave identically on historical data and during live execution. Concepts such as “lower portion of the bar” or “confirmation of the smash level” must therefore be translated into exact numerical conditions so that signal detection remains consistent across runs.

A practical solution is to formalize the Hidden Smash Day rules and implement them in a tool that automatically detects these setups. In this article, a custom MQL5 indicator is developed to codify the Hidden Smash Day pattern using objective conditions such as the position of the close within the bar range, its relationship to the previous close, and the confirmation logic that follows in the next session.

When a valid setup is detected, the indicator visually marks the chart. A sea green arrow appears below valid Hidden Smash Day buy bars, while a black arrow appears above valid Hidden Smash Day sell bars. These signals provide an objective reference point that helps traders quickly recognize the pattern and, if desired, apply additional contextual filters.

The indicator is designed primarily for algorithmic traders who want to objectively describe the Larry Williams Hidden Smash Day setup and automate its detection while still using the signal in discretionary analysis. The remainder of the article explains the structure of the indicator, the detection logic used to formalize the pattern, and how the tool operates both on historical data and during real-time chart updates.

Author: Chacha Ian Maroa

[Israr Hussain Shah]

Thanks for this

[Chacha Ian Maroa]

Israr Hussain Shah #:
Thanks for this

You're welcome