Discussing the article: "From Novice to Expert: Automating Intraday Strategies"
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Check out the new article: From Novice to Expert: Automating Intraday Strategies.
We translate the EMA‑50 retest idea into a behavior‑driven Expert Advisor for intraday trading. The study formalizes trend bias, EMA interaction (pierce and close), reaction confirmation, and optional filters, then implements them in MQL5 with modular functions and resource‑safe handles. Visual testing in the Strategy Tester verifies signal correctness. The result is a clear template for coding discretionary bounces.
Intraday trading refers to opening and closing trades within the same trading day. In simple language, it means we are not interested in long-term investing or holding positions overnight. Instead, we aim to capture shorter market movements—often within minutes or hours.
Because intraday trading operates in a fast environment, traders require consistent decision-making. Emotional delay or hesitation often leads to missed entries, early exits, or late reactions. This is where automation becomes powerful.
One widely used intraday concept is the moving average bounce. In trending markets, price often pulls back toward a dynamic mean before continuing in the direction of the trend. The moving average acts as a dynamic support in uptrends and dynamic resistance in downtrends.
Among various periods, the 50-period moving average has become a popular institutional reference. It is not too fast to be noisy like MA 10 or MA 20, and not too slow like MA 200. It strikes a balance between reactivity and structure. For intraday frameworks, this balance makes it ideal.
Although this article centers around MA 50, the final system will allow customization of the moving average period. Flexibility ensures adaptability across timeframes and trading styles.
Author: Clemence Benjamin