The Python component extracts economic calendar data from Forex Factory and saves it to a local file, which the EA monitors in real-time. Minutes before scheduled news events, the bot executes a straddle strategy, placing pending buy and sell orders at a predefined distance from the market price. It includes fixed stop loss and take profit parameters for risk control. The README outlines the necessary Python dependencies and file path configurations for integration.
External Python web scraper using BeautifulSoup
Automated straddle order execution for news events
File-based data synchronization between Python and MQL5
Configurable order distance, stop loss, and take profit
1Download the sourceUse "Download source (.zip)" above, or clone NathanaelPeters/Forex-Factory-Web-Scraper from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 file into Experts.
4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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