Our journey will take you through the labyrinths of algorithmic trading, where mathematical rigor meets computational elegance, and classic Martingale techniques take on new life thanks to innovative machine learning approaches. Whether you are an experienced algorithmic trader, a trading architecture developer, or just a financial technology enthusiast, this article offers a unique perspective on the future of automated trading.
Fasten your seat belts — we are embarking
In this article, we advance our work on the MetaQuotes Language 5 (MQL5) Economic Calendar dashboard by adding functionality for live updates, allowing us to maintain a continuously refreshed display of critical economic news events. In the previous part, we designed and implemented a dashboard panel to filter news based on currency, importance, and time, giving us a tailored view of relevant events. Now, we take it further by enabling real-time updates, ensuring that our calendar displays
In my previous article we looked at the main programs that are used by MQL5 programmers (and came to the conclusion that the MetaEditor IDE is well suited for beginner needs). In addition, we took a quick look at the concept of a function and created a simple script that prints a message in the system log. These messages can be viewed at the bottom of the terminal window in the Experts tab.
Now we come to the point that this data must be stored somewhere.
Today we will
A quick refresher for the previous article in the News Trading Made Easy series. In part 1, we went through the concept of DST(Daylight Savings Time) and the various versions for different countries that essentially change their time zones by an hour ahead and behind during a financial year. This will change trading schedules for the related brokers using DST. The reasons for creating a database and the benefits were addressed. A database was created to store the news events from the MQL5 Economic Calendar
Smart Money Concepts (SMC) and Order Blocks are critical areas on the chart where institutional traders typically execute large buying or selling orders. These zones often mark the origins of significant price movements, making them vital for traders seeking to align their strategies with institutional market activity. Understanding how these key levels influence price action can provide retail traders with more profound insight into the underlying market dynamics, allowing them to anticipate
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