Check out the new article: Bonobo Optimizer (BO) . The article presents the implementation and analysis of the Bonobo Optimizer algorithm, which is based on the unique behavioral characteristics of bonobos — their dynamic fission-fusion social structure and three mating strategies. What interesting
Day Trader Dashboard : The Day Trader Dashboard is a Bloomberg-style visual panel for MetaTrader 5 that tracks an intraday price range and flags when price is inside it (fade zone) or has broken out of it. It doesn't place trades — it's a decision-support overlay that computes the range High/Low
Check out the new article: Low-Frequency Quantitative Strategies in MetaTrader 5 (Part 5): Pre-Backtest Evaluation of Machine-Learning-Generated Signals Through Formulaic Alphas . The article shows how to evaluate machine-learning alphas before a full backtest by expressing them as formulaic alphas
Check out the new article: Building a Crosshair Volume Profile Indicator in MQL5 . We implement an interactive Crosshair Volume Profile indicator in MQL5 for MetaTrader 5. Using a right-click-and-drag crosshair, you select a chart region; the indicator then builds adaptive price bins, accumulates
Check out the new article: Building a Dynamic ATR-Based Trend Channel Indicator in MQL5 . This article develops a dynamic ATR-based trend channel indicator in MQL5 that responds to current market volatility. It derives True Range, applies a two-step ATR smoothing, and constructs adaptive upper and
BestInterval : The library for calculating the best trading interval. Author: fxsaber
Check out the new article: Enhancing the MQL5 Portfolio Analyzer Dashboard: Active Mitigation, Data Exports, and AI Integration . This article delivers active drawdown monitoring, automated mitigation rules, Excel XML data export, and AI-assisted review for the Portfolio Analyzer dashboard. It
Check out the new article: CSV Data Analysis (Part 8): Building an SQLite Strategy Registry from Accumulated CSV Exports . Flat files work well at the start of an MQL5 research pipeline, but they hinder cross-run queries and provenance once the archive grows. We build a Python-based SQLite registry
Candle Body-to-Wick Pressure Oscillator : Converts the body-to-wick makeup of every candle into a bounded conviction reading, then smooths it into an oscillator that flags buyer/seller pressure and automatically marks divergence against price. Author: Sanmi Samuel Ojo
Check out the new article: Market Heat Map Indicator Based on Prime-Number Density . An innovative indicator based on prime number theory helps identify strong reversal levels that other traders overlook. Testing on 10 assets showed that reversals in mathematically significant zones occur 1.5 to 1.8
Multi-Symbol Correlation Divergence Meter : Tracks the rolling correlation between the current chart symbol and a chosen reference symbol, and flags the moment they decouple while their price spread is statistically stretched. Author: Adeolu Kayode Gbadebo
Check out the new article: Feature Engineering for ML (Part 12): Fractal Features in MQL5 . A direct MQL5 port of the fractal detector writes each pattern at its center bar, so a buffer read by an expert advisor holds a value that only existed n bars later. We implement CFractalFeatures.mqh with
Check out the new article: Neural Networks in Trading: Adaptive Periodic Segmentation (Creating Tokens) . We invite you to embark on an exciting journey through the world of adaptive analysis of financial time series and learn how to turn complex spectral analysis and flexible convolution into real
New article Movement continuation model - searching on the chart and execution statistics has been published: This article provides programmatic definition of one of the movement continuation models. The main idea is defining two waves — the main and the correction one. For extreme points, I apply
Gonisshi MT5 Sync : Automatically sync your MT5 trading activity with GO日誌 (gonisshi.com). Important: This EA is data-sync only. It does not open, modify, or close trades and does not provide trading signals. Author: Sakhala Manoj Kiran
Risk Based Position Size Calculator : Draggable Entry, Stop-Loss and Take-Profit lines with a live on-chart panel that calculates the exact lot size for a chosen account risk. No manual math, no guessing — drag the lines, read the size. Author: Olamide Daniel Adebayo
Check out the new article: Modular Indicator Architecture in MQL5 (Part 1): Stop Copy-Pasting and Start Writing Scalable, Reusable Code . This article develops an object-oriented framework for MQL5 indicators by evolving a primitive example into reusable modules. It formalizes partial buffer
Check out the new article: Learnable Curves, Not Weights: A Kolmogorov-Arnold Network from Scratch . This article builds a Kolmogorov–Arnold Network (KAN) in MQL5, where every edge carries a learnable B‑spline curve rather than a scalar weight. We construct the spline basis, assemble edges and a
Check out the new article: Bloch's Relative Moving Average (RMA) Framework Implementation In MQL5 . We port Daniel Bloch's Relative Moving Average framework into a complete MetaTrader 5 system. Instead of smoothing price, the RMA measures where price sits inside its own recent distribution on a
Scale Out Value Analyzer : A native MQL5 tool that reconstructs closed positions from deal-level history, flags the ones closed through more than one exit, and reprices each one at its own first, last, and best exit rates to measure whether scaling out actually added value. Reports a Value-Add
Check out the new article: Trends and Traditions: Using Rademacher Functions in Trading . Although the functions we will discuss have been known for quite some time, their application in the field of trading remains terra incognita to this day. In this article, we will explore some of the
Volume-Weighted Price Displacemet Oscillator : Plots a volume-weighted, volatility-normalized oscillator that flags impulse and exhaustion conditions as price stretches away from its rolling VWAP Author: Sanmi Samuel Ojo
Check out the new article: Neural Networks in Trading: Adaptive Periodic Segmentation (LightGTS) . We invite you to learn about the innovative technique of adaptive patching — a method for flexibly segmenting time series while taking their internal periodicity into account. We will also look at an
Check out the new article: A Trailing Stop Engine in MQL5 Supporting Five Trail Methods Simultaneously . We implement CTrailingEngine, an interface-driven MQL5 engine that evaluates each registered position on every tick and applies one of five trailing methods: fixed-pip, ATR multiplier, Parabolic
Check out the new article: Building Volatility Models in MQL5 (Part V): Implementing EGARCH as an Alternate Asymmetric Volatility Process . EGARCH models log-variance, avoiding the non-negativity constraints that can distort GARCH estimates and enabling a clear treatment of leverage asymmetry. The
Discussing the article: "Elite Crystal Evolution Algorithm (CEO-inspired): Practical Implementation"
Check out the new article: Elite Crystal Evolution Algorithm (CEO-inspired): Practical Implementation . Experimental evaluation on standard benchmark functions reveals the advantages and limitations of directly adapting combinatorial algorithms. The article provides a detailed description of the
Check out the new article: Introduction to MQL5 (Part 15): A Beginner's Guide to Building Custom Indicators (IV) . In this article, you'll learn how to build a price action indicator in MQL5, focusing on key points like low (L), high (H), higher low (HL), higher high (HH), lower low (LL), and lower
Discussing the article: "Neural Networks in Trading: An Intelligent Forecast Pipeline (Conclusion)"
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Check out the new article: Neural Networks in Trading: An Intelligent Forecast Pipeline (Conclusion) . The article provides a fascinating look at how SwiGLU embedding reveals hidden market patterns, and how a sparse Mixture of Experts within a Decoder-Only Transformer makes forecasts more accurate
b-clock : Show minutes and seconds left before new candle is appeared. Author: Totom Sukopratomo
Previous Day High Low Open Close Indicator : Plots the previous trading day's High, Low and Close as horizontal reference levels across the current session, with optional multi-day history for context. No repainting, no discretion — the levels are read directly from the completed Daily bar Author
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