Mark Minervini describes variations of this behavior through the Volatility Contraction Pattern (VCP). Other traders refer to it as “tight price action” or a “coiled spring,” while John Bollinger formalized part of the idea with the well-known Band Squeeze. Regardless of terminology, the behavior itself appears across markets—forex, indices, equities, and crypto—because price rarely transitions directly from trend to trend without an intermediate balancing phase.
The practical
Welcome back to Part 37 of the Introduction to MQL5 series! In the previous article, we introduced the basics of API signatures and explored how secure requests are created in MQL5 using hashing and HMAC-based techniques. We focused on why signatures are necessary, how they protect sensitive requests, and how MQL5 handles signature generation at a conceptual level.
This article builds on that foundation by taking the next useful step. Here, we will write an MQL5 script that retrieves
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In the previous article, we discussed and made a simulator class in Python called TradeSimulator, which relied heavily on information from MetaTrader 5, such as ticks, bar data, symbol information, and much more.
The first article laid the foundation for what's required in imitating the MetaTrader 5 client, and its strategy tester (simulator). In this article, we will introduce ticks and bars data, as well as functions similar to those provided by the Python-MetaTrader 5 module
Markets do not start trending by accident. According to Larry Williams, sustained price moves are usually born from moments of extreme volatility, when price expands beyond what has been normal recently. These volatility breakouts act like a spark, pushing the market into motion and keeping it moving in the same direction until an opposing force appears. This idea challenges the common habit of chasing small intraday swings and instead focuses attention on the moments when price activity
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