Articles, Library comments - page 54

Ping : A real-time indicator showing the lag of quotes inside the terminal. Author: fxsaber

Check out the new article: Developing a multi-currency Expert Advisor (Part 18): Automating group selection considering forward period . Let's continue to automate the steps we previously performed manually. This time we will return to the automation of the second stage, that is, the selection of

Check out the new article: Developing a Replay System (Part 75): New Chart Trade (II) . In this article, we will talk about the C_ChartFloatingRAD class. This is what makes Chart Trade work. However, the explanation does not end there. We will complete it in the next article, as the content of this

Check out the new article: Price Action Analysis Toolkit Development (Part 31): Python Candlestick Recognition Engine (I) — Manual Detection . Candlestick patterns are fundamental to price-action trading, offering valuable insights into potential market reversals or continuations. Envision a

Check out the new article: Neural Networks in Trading: Optimizing the Transformer for Time Series Forecasting (LSEAttention) . The LSEAttention framework offers improvements to the Transformer architecture. It was designed specifically for long-term multivariate time series forecasting. The

Double Moving Averages With Fibonacci : This indicator combines two moving averages to generate buy/sell signals based on crossovers. It also plots Fibonacci retracement levels using recent swing highs and lows for support/resistance. Visual arrows mark trade signals, and optional alerts notify

Check out the new article: Ensemble methods to enhance numerical predictions in MQL5 . In this article, we present the implementation of several ensemble learning methods in MQL5 and examine their effectiveness across different scenarios. Machine learning often produces multiple predictive models of

Level Trading: System of intraday time trade. Author: John Smith

Check out the new article: Introduction to MQL5 (Part 18): Building Expert Advisors Using Technical Chart Patterns (III) — Introduction to Wolfe Wave Pattern . This article explains the Wolfe Wave pattern in detail, covering both the bearish and bullish variations. It also breaks down the

Check out the new article: Building a Custom Market Regime Detection System in MQL5 (Part 2): Expert Advisor . This article details building an adaptive Expert Advisor (MarketRegimeEA) using the regime detector from Part 1. It automatically switches trading strategies and risk parameters for

Day Of Week, Week Of Year and other marks in Data Window and on chart : WeekDays indicator displays Day Of Week, Week Of Year, Day Of Year or Bar Index in the Data Window, and optionally in labels on the chart. Author: Stanislav Korotky

Check out the new article: From Basic to Intermediate: Union (II) . Today we have a very funny and quite interesting article. We will look at Union and will try to solve the problem discussed earlier. We'll also explore some unusual situations that can arise when using union in applications. The

Check out the new article: Feature selection and dimensionality reduction using principal components . The article delves into the implementation of a modified Forward Selection Component Analysis algorithm, drawing inspiration from the research presented in “Forward Selection Component Analysis

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

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

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

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: Reimagining Classic Strategies (Part 12): EURUSD Breakout Strategy . Join us today as we challenge ourselves to build a profitable break-out trading strategy in MQL5. We selected the EURUSD pair and attempted to trade price breakouts on the hourly timeframe. Our system had

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

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: 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: 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