Implementing Twenty Technical Trade Signals in MQL5
Summary
This article presents a reusable MQL5 framework for generating trade signals from technical indicators. It groups common entry approaches into moving-average intersections, range or channel breakouts, stochastic exits from overbought or oversold zones, channel bounces, and trend changes. Each signal function returns a buy, sell, or no-signal value so an Expert Advisor can use the same interface across different indicators.
The article explains the indicator workflow: create handles, retrieve buffer values, validate copied data, and analyze closed bars to reduce signal flicker on the still-forming bar. It illustrates the process with a fast and slow moving-average crossover, then applies the pattern to a wider set of built-in and custom indicators. Parameters can be exposed for adjustment, with old indicator handles released when settings change. This is a programming guide, not a comparative test of predictive performance; it provides no evidence that the signals are profitable or robust across instruments and market conditions.
Key ideas
- A common interface can represent buy, sell, and absent signals with three distinct return values.
- MQL5 indicator handles and buffers provide the data used to form signals.
- Checking handle validity, copied values, and array indexing helps prevent errors in signal calculations.
- Analyzing closed bars can reduce signals that flicker while the current bar is forming.
- The article covers crossover, breakout, channel, stochastic, and trend-change signal patterns without establishing their profitability.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.