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  1. Mastering PD Arrays: Optimizing Trading from Imbalances in PD Arrays

    by , 03-11-2026 at 09:10 PM
    This article will explore in detail an EA that is specifically designed for traders who are keen on learning how to optimally identify and use PD arrays, which usually offer excellent trading opportunities when trading in an identified trend and narrative, avoiding trading against the trend direction, and selling at a discount or buying at a premium. It will also be designed to identify market structure shifts as a trade entry criterion as they occurs at specific market points, such as the
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  2. Automating Market Memory Zones Indicator: Where Price is Likely to Return

    by , 02-20-2026 at 05:17 AM
    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:
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  3. Price Action Analysis Toolkit Development (Part 58): Range Contraction Analysis and Maturity Classification Module

    by , 02-05-2026 at 04:08 PM
    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
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  4. Introduction to MQL5 (Part 37): Mastering API and WebRequest Function in MQL5 (XI)

    by , 01-30-2026 at 03:37 PM
    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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  5. Build a Remote Forex Risk Management System in Python

    by , 01-22-2026 at 08:33 PM
    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.
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