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In this article, we advance our MQL5 Economic Calendar series by preparing the trading system for strategy testing in non-live mode, leveraging embedded economic event data for reliable backtesting. Building on Part 6’s automation of trade entries with news analysis and countdown timers, we now focus on loading news events from a resource file and applying user-defined filters to simulate live conditions in the Strategy Tester.

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Algorithmic trading strategies have greatly revolutionized financial trading by allowing traders to quickly make informed decisions. This has helped to eliminate human error and emotional biases as the automated systems follow predetermined parameters in the fast-paced market environment. Therefore, in automated trading, there is consistency as the system uses the same logic to execute trades every time.

It is a common practice to build and implement automated techniques using MetaTrader

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