Using MQL5 Indicator Buffers to Build an RSI Trading EA
Summary
This beginner-focused guide explains how an MQL5 program connects to built-in indicators, using an RSI-based Expert Advisor as its main example. It describes creating an indicator handle with settings such as symbol, timeframe, period, and applied price, then reading calculated values from indicator buffers with CopyBuffer. The same handle-and-buffer workflow applies to indicators such as moving averages and Bollinger Bands.
The article develops an EA that combines RSI readings with candlestick data to identify highs and lows, including liquidity-sweep concepts, and mark selected levels on the chart. It also discusses percentage-based trade risk to account for candles of different sizes and describes modifying open positions to move stop-losses to break-even under specified conditions. The material is instructional and code-oriented; it does not provide backtest results or establish that the RSI rules are profitable. Readers should treat the example as an implementation guide, not evidence of a validated trading edge.
Key ideas
- An MQL5 indicator handle identifies an indicator instance and its settings.
- CopyBuffer retrieves calculated values from an indicator buffer for use in program logic.
- The guide combines RSI values with candlestick data to identify and mark selected highs and lows.
- Percentage-based risk and break-even stop modifications are presented as parts of the example EA.
- The article explains implementation steps but does not report evidence that the strategy is profitable.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.