Entries with no category
In the previous discussion, we developed the Market Memory Zones indicator by identifying key areas where price demonstrated meaningful intent—whether through displacement, structural transition, or liquidity sweeps. We translated raw price movement into structured zones that visually represent where imbalances, control shifts, or liquidity events occurred. Rather than marking arbitrary support and resistance, the indicator was designed to highlight locations backed by behavioral evidence: ...
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 ...
Our remote risk manager is not just a tool, it is your insurance against financial chaos in the unpredictable world of Forex trading. Are you ready to turn your trading from a risky gamble into a controlled process? Then buckle up — we're going on a journey through the world of smart risk management, where technology meets financial security. more...
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 ...
Go to Profile
Mark as Read
