Financial time series prediction often utilizes dimensionality reduction techniques due to high feature correlations. While PCA is commonly employed, it can dilute individual variable impact, complicating tasks like feature selection. To tackle this, Forward Selection Component Analysis (FSCA) offers a more refined method by selecting variables based on their unique variance contribution. FSCA's backward refinement step further optimizes variable choice by replacing less important ones, enhancing model accuracy without sacrificing step order. These techniques empower traders and developers to build more transparent and effective algorithmic trading models, highlighting how FSCA addresses PCA's limitations in highly correlated datasets.
#MQL5 #MT5 #Algorithm #FeatureSelection

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A prototype script has been developed to aggregate data from EconomicCalendar functions, outputting the information into a text file. The output is formatted as a list of dictionaries, each representing an event collected over a specified time period. This script serves as a preliminary test solution for users of the PythonAPI, providing access to identical data. In this initial version, all variables are statically declared, allowing for straightforward testing and validation. The service is positioned as a temporary solution, aiming to facilitate early-stage exploration and integration of economic data into broader applications. Effective data handling strategies will be key in further development stages.
#MQL5 #MT5 #script #PythonAPI

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Two-Factor Authentication (2FA) improves security by requiring two forms of verification, reducing unauthorized access risks. Its implementation in an Admin Panel involves incorporating a second verification layer beyond passwords. MQL5 projects benefit from this by adding an OTP code that is sent to a user’s Telegram account for authentication.

Integration involves creating GUI elements for password and 2FA code input, using secure algorithms for code generation, and testing functionalities. Using Telegram API for delivering codes ensures real-time verification, although keeping security practices robust on shared devices remains crucial.

This approach significantly heightens user trust and data protection, optimizing application security in dynamic environments.
#MQL5 #MT5 #2FA #AlgoTrading

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A new function facilitates trade monitoring via notifications for important trade events. It alerts users about trade openings and closures and provides details such as trade type and lot size for new trades. Profit and loss information for closed trades is also displayed. This utility works seamlessly in both live trading and strategy testing environments, sending feedback to logs when tested.

For efficient use, integrate this function into your Expert Advisor (EA) or script, and enable push notifications on the MetaTrader platform. It’s crucial to configure the MetaTrader mobile application to receive alerts.

This function is tailored for netting accounts and does not support hedging scenarios where multiple positions per symbol might be open. Adjustments are needed for hedging functionality.

The recent trading history, covering the past ...
#MQL5 #MT5 #Notifications #ExpertAdvisor

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The article delves into using the Average True Range (ATR) and ADX indicators for algorithmic trading in MetaTrader 5, focusing on innovative pattern detection and implementation in MQL5. It highlights using ATR for volatility breakout signals, offering advantages like adapting to market conditions for dynamic exits over fixed thresholds. The implementation tracks price against ATR to trigger trade signals, ensuring robust, real-time market responsiveness. The ADX is explored for identifying trend reversals and support/resistance breakouts, employing Bollinger Bands integration. The discussion emphasizes practical testing, suitable for optimizing trading strategies and delivering refined market insights for traders and developers.
#MQL5 #MT5 #Volatility #Strategy

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Dive into neural networks with this insightful article! It simplifies the process of generating equations to represent dataset patterns, leveraging analytical mathematics and algebraic computation. By avoiding complex math, it focuses on practical coding in MQL5 to create linear functions for static datasets. Gain insight into constructs like slope and intercept while managing variables efficiently through matrix operations. Emphasizes practical data representation—whether linear or quadratic—demonstrating flexibility in adapting data types and volumes. Perfect for traders and developers looking to bridge the gap between theoretical math and real-world application in algorithmic trading.
#MQL5 #MT5 #NeuralNetworks #AI

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The Expert Advisor featured here evaluates indicator buffer signals, specifically focusing on OsMA Four Colors Arrow EA. This particular advisor utilizes a well-documented trading engine, thoroughly detailed in the RSI Dual Cloud EA code. The strategy involves analyzing multiple data points within these indicators to make informed trading decisions. The use of OsMA indicators aims to enhance the accuracy of signal reading, while the integration with the Four Colors Arrow functionality aids in identifying potential market opportunities. The dual cloud approach of RSI further supports multi-layered analysis, resulting in a robust strategy framework tailored for sophisticated market assessment.
#MQL5 #MT5 #Strategy #EA

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Starting a new development focused on the SplitContainer control from MS Visual Studio toolkit. This control, known for its two-panel design separated by a movable separator, relies on a completely transparent base container. The panels are descendants of the CContainer class and feature a static setup with default parameter values, including a vertical separator positioned at 50 pixels from the edge and a separator width of 4 pixels. By default, the panels adopt a Fixed3D frame type.

Enhancements include adding new WinForms object types, macro substitutions for background and border colors, and properties for Integer graphical elements. Enumeration for non-resizable panels is specified, and graphical element sorting by new properties is facilitated. Methods returning descriptions of new graphical elements and properties are implemented.

The aux...
#MQL5 #MT5 #SplitContainer #WinForms

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For those interested in translating Pine Script to MQL5, it's essential to adopt a functional and structured approach. Begin by examining the logic behind the Pine Script and identifying its core functions and variables. Next, understand the corresponding MQL5 functions and how they can replicate Pine Script capabilities. Pay close attention to differences in syntax and function calls. The goal is to maintain the script's original functionality while ensuring compatibility within MQL5. Consider leveraging available online resources or forums where examples and discussions on such conversions are shared, providing further insights and practical advice. Always test the MQL5 code thoroughly to ensure it performs as expected.
#MQL5 #MT5 #Conversion #Algorithm

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Enhancing Expert Advisors for a more engaging trading experience involves critical code modifications. These adjustments focus on removing unnecessary components like Chart Trade to streamline operations. By integrating the Chart Trade as an indicator, the EA becomes more efficient. Efficiency further improves with sound alerts. This auditory feedback provides quick updates without needing to monitor charts continuously. Different sound setups cater to specific events, enhancing trader response times. Memory management gains importance through event-driven checks to ensure the EA's readiness. These structured modifications improve system stability and reliability, although personalization depends on individual user preferences.
#MQL5 #MT5 #EA #AlgoTrading

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An advanced indicator visualizes the last three candles from a larger timeframe on a current chart. This is achieved through the use of OBJ_RECTANGLE graphical objects, which construct rectangles at the High and Low prices of these candlesticks. By rendering these rectangles, traders can effectively observe the price action from a broader perspective within their existing timeframe. Such visualization aids in identifying trends and potential market reversals by providing clarity on key price levels. This method is particularly useful for those who incorporate multi-timeframe analysis into their trading strategy, enhancing decision-making processes through a more comprehensive market overview.
#MQL5 #MT5 #Indicator #AlgoTrading

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Explore the Connexus library's development, focusing on a crucial aspect of the HTTP protocol: methods and status codes. Learn about various HTTP methods like GET, POST, PUT, and DELETE, each serving different purposes in client-server communication. Understand how status codes categorize responses, from informational to error messages, enabling effective error handling. The creation of CHttpMethod and CHttpStatusCode classes in the Connexus library provides developers with enhanced control over HTTP communication. By understanding and implementing these features, developers can improve API interactions, reliability, and efficiency in algorithmic trading applications.
#MQL5 #MT5 #HTTP #Coding

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Introducing a basic trade management panel designed to enhance the backtesting of trading strategies. This tool offers essential features to streamline trade management tasks during the backtesting process. It provides an organized interface to set up and modify trades efficiently. Users can manage entry and exit points, stop losses, and take profits with ease. The panel supports detailed tracking of trade performance, allowing for comprehensive analysis and optimization of strategies. This trade management solution serves as a valuable resource for traders aiming to fine-tune their trading approaches effectively. Its use can lead to more informed decision-making and refined strategy outcomes.
#MQL4 #MT4 #Strategy #AlgoTrading

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The extended version of the CalendarForDates.mq5 script offers customizable input variables for filtering records by country code, currency code, and time range. If not specified, it retrieves a complete calendar. Initial requests might experience delays or timeouts, necessitating a script rerun. Upon successful execution, the output is a CSV file containing select key calendar fields, with the flexibility to modify the source code for additional fields as required.

Users can also provide a *.cal-file, an archived calendar snapshot for a specific time, created by the CalendarMonitorCached.mq5 indicator. Updated mqh-files, namely CalendarFilter.mqh, CalendarCache.mqh, and QuickSortStructT(Ref).mqh, include enhancements and bug fixes over the original versions.
#MQL5 #MT5 #script #AlgoTrading

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The article highlights the FITS (Frequency Interpolation Time Series) method, an innovative approach to time series analysis and forecasting. FITS effectively represents time series data in the frequency domain, using frequency interpolation to expand the analyzed time window with low computational overhead. It employs complex neural networks to assess amplitude and phase, ensuring efficient data analysis. FITS stands out with its low parameter count, making it suitable for resource-constrained environments like mobile devices. Implemented in MQL5, FITS method leverages fast Fourier transform and OpenCL for efficient calculation, creating a scalable solution for both traders and developers interested in advanced algorithmic trading models.
#MQL5 #MT5 #TimeSeries #AlgoTrading

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The Artificial Cooperative Search (ACS) algorithm, inspired by mutualistic interactions and migratory behaviors in nature, is an innovative approach for solving numerical optimization problems. It models two interacting superorganisms, α and β, as predators and prey to explore search spaces efficiently. Unique operators like prey shuffling and binary matrix-based mutation distinguish ACS, enhancing its convergence speed and solution accuracy. Implemented through detailed steps including population initialization, selection, mutation, and global best solution update, ACS not only mimics cooperative biological interactions but excels in quickly finding optimal solutions for complex challenges. This algorithm represents a leap in biological inspiration for algorithmic design, offering practical benefits to developers and traders.
#MQL5 #MT5 #Algorithm #AI

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The indicator identifies candlesticks on the price chart exceeding a specified size and marks them for analysis. It offers two measurement options: Points, where the size is based on points (e.g., for a five-digit quote, one point equals 0.00001), and Percentages, where the size is a percentage of the candlestick's value. Users can choose measurement levels such as High/Low, Open/Close, Upper Shadow, or Lower Shadow. By setting the "Size Definitions" parameter, users determine the threshold for candlestick size. When a candlestick meeting the criteria is found, it's marked according to the settings. This flexibility assists in precise candlestick size analysis for enhanced market observation.
#MQL4 #MT4 #Indicator #Trading

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A service is available for developers needing efficient swap management, aimed at monitoring and recording swap changes for designated symbols. This service routinely inspects the swap rates, logging any updates into CSV files named after each symbol and organized by month. For instance, a file named 202410.csv will contain data for October 2024, capturing the date-time, long swap, and short swap on each line. The system also tracks swap alterations in existing positions, issuing alerts for any variations identified. The program operates as a script within a chart if the directive `#property service` is commented out, although deploying it as a service is advised. Due to limitations in MQL5's support for the service program type, the code is distributed as a script.
#MQL5 #MT5 #script #Algorithm

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The previous discussion focused on optimizing backtesting in news-based trading strategies. The primary bottleneck identified was excessive database access, which slowed operations. To improve this, we propose reducing database queries by consolidating daily data retrieval. This involves loading all necessary event data at the start of the day and organizing it by hour for efficient access.

Introducing the Time Variables class enhances time precision by utilizing enumerations for hours, minutes, and seconds. This structured approach simplifies handling time-sensitive scenarios, particularly in volatile market conditions.

Moreover, the DB Access Reduction strategy eliminates frequent database hits by creating a structured array of events. This array is segmented by the hour and accessed only as needed, thereby reducing unnecessary checks and improvi...
#MQL5 #MT5 #Strategy #AlgoTrading

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Explore the integration of the MQL5 Economic Calendar into algorithmic trading systems on MetaTrader 5. The calendar is a vital tool for traders, offering timely updates on economic events with significant market impact like interest rates and GDP reports. Seamless integration allows developers to programmatically access events using MQL5, aiding in crafting responsive automated trading strategies. Learn to display and manage event data on charts, leveraging this information to automate reactions to market-moving announcements. This practical approach equips traders and developers to enhance their trading algorithms, ensuring they are well-prepared for impactful economic news in the ever-evolving trading landscape.
#MQL5 #MT5 #Trading #Forex

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