Forex Strategies

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 with subsequent changes to the event time data to reflect the broker's DST schedule for accurate back-testing in the future. In the project files, an SQL script results in an Excel format was provided for all the unique events accessible through the MQL5 Calendar for all the different countries.

However, in this article, we will make a few changes to our previous code in part 1. Firstly by implementing inheritance to the existing code and upcoming new code, the previous news/calendar database will get a revamp into something more useable and practical. Additionally, we will tackle risk management and create different risk profiles to choose from for users with different risk appetites or preferences.

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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 high-probability moves.

When combined with tools like the Fibonacci retracement, traders can further refine their entry strategies. The Fibonacci retracement identifies potential pullback levels between a recent swing high and swing low, offering a way to measure how far price may retrace before continuing its trend. This approach helps traders pinpoint optimal entry points by aligning institutional order flow with areas of market interest, enhancing the precision of their trades.

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In the previous article, we went through the processes of implementing trades based on the news event's impact. We were successful in this mission, but a key disadvantage to the article's last code was its back-testing speed which is relatively slow. This is mainly due to frequently accessing the database in memory while back-testing the strategy, to resolve this issue we will reduce the number of times the database is accessed during the back-testing procedure. We will get all the information we need from the database in memory for the current day, this means that we will only access the database ideally once per day.

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