Check out the new article: From Novice to Expert: Animated News Headline Using MQL5 (V)—Event Reminder System . In this discussion, we’ll explore additional advancements as we integrate refined event‑alerting logic for the economic calendar events displayed by the News Headline EA. This enhancement
Check out the new article: Advanced Order Execution Algorithms in MQL5: TWAP, VWAP, and Iceberg Orders . An MQL5 framework that brings institutional-grade execution algorithms (TWAP, VWAP, Iceberg) to retail traders through a unified execution manager and performance analyzer for smoother, more
Smart Stockastic MA : Advanced Stochastic EA A Smart Trend-Following Expert Advisor with Stochastic Confirmation Author: Frizt Yonif Yongly Lumbantoruan
NRTR:
A variation of a well-known Nick Rypock Trailing Reverse indicator.
Author: MetaQuotes Software Corp.
Discussion of article "Using Self-Organizing Feature Maps (Kohonen Maps) in MetaTrader 5"
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New article Using Self-Organizing Feature Maps (Kohonen Maps) in MetaTrader 5 is published: One of the most interesting aspects of Self-Organizing Feature Maps (Kohonen maps) is that they learn to classify data without supervision. In its basic form it produces a similarity map of input data
Check out the new article: Singular Spectrum Analysis in MQL5 . This article is meant as a guide for those unfamiliar with the concept of Singular Spectrum Analysis and who wish to gain enough understanding to be able to apply the built-in tools available in MQL5. Recent iterations of MetaTrader 5
MultiTester : Multiple runs/optimisations in Tester. Author: fxsaber
Candle Replay Magnifier : Candle Replay Magnifier visually replays historical candles over the current chart area for comparative analysis. This indicator overlays past price bars from a selected date onto the live chart, allowing traders to study candle patterns, volatility, and structure in real
Check out the new article: Self Optimizing Expert Advisors in MQL5 (Part 8): Multiple Strategy Analysis (3) — Weighted Voting Policy . This article explores how determining the optimal number of strategies in an ensemble can be a complex task that is easier to solve through the use of the MetaTrader
Auto Tp : Set Auto TP and SL: The “Set Auto TP and SL” (Take Profit and Stop Loss) feature is a crucial tool in any trading strategy, designed to automate risk and reward management. It allows traders to define fixed price levels where a trade should be automatically closed to either secure profits
Check out the new article: Master MQL5 from Beginner to Pro (Part VI): Basics of Developing Expert Advisors . This article continues the series for beginners. Here we will discuss the basic principles of developing Expert Advisors (EAs). We will create two EAs: the first one will trade without
Check out the new article: MQL5 Wizard Techniques you should know (Part 74): Using Patterns of Ichimoku and the ADX-Wilder with Supervised Learning . We follow up on our last article, where we introduced the indicator pair of the Ichimoku and the ADX, by looking at how this duo could be improved
Check out the new article: Feature Engineering With Python And MQL5 (Part I): Forecasting Moving Averages For Long-Range AI Models . The moving averages are by far the best indicators for our AI models to predict. However, we can improve our accuracy even further by carefully transforming our data
Check out the new article: Neural Networks Made Easy (Part 84): Reversible Normalization (RevIN) . We already know that pre-processing of the input data plays a major role in the stability of model training. To process "raw" input data online, we often use a batch normalization layer. But sometimes
Check out the new article: Neural networks made easy (Part 67): Using past experience to solve new tasks . In this article, we continue discussing methods for collecting data into a training set. Obviously, the learning process requires constant interaction with the environment. However, situations
SniperJaw EA : SniperJaw EA is a one-trade-at-a-time robot that uses the Alligator indicator (Jaw, Teeth, Lips) to follow the trend. You can control the trade size with LotSize, choose to close trades on opposite signal with UseEntryToExit, or use TakeProfit and StopLoss in pips if set. Slippage is
Check out the new article: Automating Trading Strategies in MQL5 (Part 22): Creating a Zone Recovery System for Envelopes Trend Trading . In this article, we develop a Zone Recovery System integrated with an Envelopes trend-trading strategy in MQL5. We outline the architecture for using RSI and
Candle Wicks Length Display Indicator MT5 : Candle Wicks Length Display MetaTrader indicator is an indicator that can display the length of candle wicks in pips directly on your chart. You can set the minimum length to be displayed. Alternatively, it can show wick lengths that are less than the
Check out the new article: Developing a Replay System (Part 74): New Chart Trade (I) . In this article, we will modify the last code shown in this series about Chart Trade. These changes are necessary to adapt the code to the current replay/simulation system model. The content presented here is
Check out the new article: Graph Theory: Dijkstra's Algorithm Applied in Trading . Dijkstra's algorithm, a classic shortest-path solution in graph theory, can optimize trading strategies by modeling market networks. Traders can use it to find the most efficient routes in the candlestick chart data
Check out the new article: Automating Trading Strategies in MQL5 (Part 23): Zone Recovery with Trailing and Basket Logic . In this article, we enhance our Zone Recovery System by introducing trailing stops and multi-basket trading capabilities. We explore how the improved architecture uses dynamic
HLPeak_Trend : High/Low Peak Trend Author: Elmo Ferrera
Discussing the article: "Neural Networks in Trading: Hyperbolic Latent Diffusion Model (Final Part)"
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Check out the new article: Neural Networks in Trading: Hyperbolic Latent Diffusion Model (Final Part) . The use of anisotropic diffusion processes for encoding the initial data in a hyperbolic latent space, as proposed in the HypDIff framework, assists in preserving the topological features of the
Check out the new article: Statistical Arbitrage Through Cointegrated Stocks (Part 1): Engle-Granger and Johansen Cointegration Tests . This article aims to provide a trader-friendly, gentle introduction to the most common cointegration tests, along with a simple guide to understanding their
Check out the new article: Arithmetic Optimization Algorithm (AOA): From AOA to SOA (Simple Optimization Algorithm) . In this article, we present the Arithmetic Optimization Algorithm (AOA) based on simple arithmetic operations: addition, subtraction, multiplication and division. These basic
Check out the new article: Formulating Dynamic Multi-Pair EA (Part 3): Mean Reversion and Momentum Strategies . In this article, we will explore the third part of our journey in formulating a Dynamic Multi-Pair Expert Advisor (EA), focusing specifically on integrating Mean Reversion and Momentum
Check out the new article: From Basic to Intermediate: Union (I) . In this article we will look at what a union is. Here, through experiments, we will analyze the first constructions in which union can be used. However, what will be shown here is only a core part of a set of concepts and information
Check out the new article: Neural Networks in Trading: Hyperbolic Latent Diffusion Model (HypDiff) . The article considers methods of encoding initial data in hyperbolic latent space through anisotropic diffusion processes. This helps to more accurately preserve the topological characteristics of
New article Interview with Anton Nel (ATC 2012) is published: Today we talk to Anton Nel (ROMAN5) from South Africa, a professional developer of automated trading systems. Obviously, his Expert Advisor just could not go unnoticed. Breaking into the top ten from the very start of the Championship, it
GARCH Indicator - Industrial Level Volatility Estimator : Volatility indicator with a threshold line based on the Generalized AutoRegressive Conditional Heteroskedasticiticy (GARCH) statistical model used for time series analysis and forecasting. Author: Serhad Yildirim

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