Discussing the article: "From Novice to Expert: Time Filtered Trading"
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Check out the new article: From Novice to Expert: Time Filtered Trading.
Just because ticks are constantly flowing in doesn’t mean every moment is an opportunity to trade. Today, we take an in-depth study into the art of timing—focusing on developing a time isolation algorithm to help traders identify and trade within their most favorable market windows. Cultivating this discipline allows retail traders to synchronize more closely with institutional timing, where precision and patience often define success. Join this discussion as we explore the science of timing and selective trading through the analytical capabilities of MQL5.
Known calendar events can serve as powerful reference points for time-filtered trading. Economic events such as Non-Farm Payrolls, CPI, FOMC decisions, or GDP releases evolve in time and can be used to define precise trading windows—periods in which our tools are either permitted or restricted from placing orders and generating signals.
In the same way that session markers define market rhythm, economic calendar markers define event-driven volatility zones. For instance, an algorithm might automatically suspend trading 30 minutes before a high-impact event and resume only after volatility stabilizes. MQL5 provides direct access to such data through the MqlalendarValue() and CalendarEventById() functions, allowing EAs to detect upcoming releases and align their operations accordingly.
Beyond event-driven scheduling, the hour of the clock itself is another crucial control factor. A trader or researcher might define fixed time windows such as 10:00–12:00 hrs for signal generation or execution. This not only reduces noise but helps isolate statistically favorable periods within a trading day.
Author: Clemence Benjamin