Emergency position management is simplified with a one-click control panel for instant closing of trading positions. This tool introduces a professional Expert Advisor that seamlessly integrates into your chart, allowing for efficient risk management and strategic exits during volatile market conditions. It offers advanced filtering options, including closing all, only buy, only sell, or symbol-specific positions. The panel also features real-time updates with a detailed count of open positions and profit/loss indicators, ensuring clarity and precision.

Safety is prioritized, with each action requiring confirmation to prevent accidental closures. The panel is fully customizable in color and placement, providing a tailored user experience. Implementing the tool is straightforward—simply drag the EA onto any chart in MetaTrader 5, enable AutoTrading, and follow...

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Traders often struggle to maintain discipline due to psychological pressures, risking their capital. A cutting-edge solution is the Risk Enforcement Expert Advisor (EA) for MetaTrader 5. This sophisticated tool is an unbiased overseer, not a signal generator. It strictly enforces predefined risk management rules, blocking any trades that defy set parameters. By capturing emotional overrides and preventing excessive trading behaviors, the Risk Enforcement EA provides an automated safeguard. Developers can leverage advanced MQL5 functions like OnTick and OnTradeTransaction to ensure consistent execution across all trading scenarios. This system bridges the gap between theoretical strategy and practical application, enhancing trading discipline effectively.

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#MQL5 #MT5 #EA

The continuation of the MQL5 series focuses on reading pre-saved candle data into an MQL5 program for utilization in indicators and Expert Advisors (EAs). With the data stored in a structured file, the process involves opening the file, extracting candle values, and organizing the information for use in indicators or EAs. This section emphasizes the seamless transfer of data from external sources into MQL5, enabling users to visualize candle data.

Building an indicator to visualize this data involves setting indicator properties, determining the display format on charts, deciding the required buffers, and defining display rules for candles. Configuring these properties ensures the indicator is prepared to process and display data efficiently.

The subsequent step involves reading the saved file to arrange data, focusing on candle times. File access o...

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