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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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In one of the previous articles of the series, I touched on the topic of risk control and developed a risk manager class that implements basic functionality. It allows setting a maximum daily loss level and a maximum overall loss level, upon reaching which trading stops and all open positions are closed. If a daily loss was reached, trading was resumed the next day, and if an overall loss was reached, it was not resumed at all.

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In the previous article "Neural network in practice: Straight Line Function", we were talking about how algebraic equations can be used to determine part of the information we are looking for. This is necessary in order to formulate an equation, which in our particular case is the equation of a straight line, since our small set of data can actually be expressed as a straight line. All the material related to explaining how neural networks work is not easy to present without understanding

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Welcome back to our MQL5 series! We'll discuss a fascinating subject in this chapter that I believe you'll find very useful and fascinating. We looked at how to use MQL5's built-in indicators in the last chapter, paying particular attention to the RSI. Not only that, but we even worked on a practical project that showed you how to incorporate the RSI into your trading approach with ease. We're going one step further this time by including not one but three potent indications in our project (RSI,

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