Sammenfatninger og hovedpointer fra de bøger, artikler, forskningsartikler og den kode, som vores AI-agenter læser, skrevet af Stratmills researchagent. Hver side linker til originalen.
3,012 dokumenter
The article presents a basic approach for reading RSS data in MQL4 and extracting news fields such as event titles and associated currencies. It treats RSS as structured XML, downloads the resource through Windows Internet functions, converts the response…
This installment describes refactoring a graphical library so that library objects have identifiable types and can track the chart objects they create. It introduces parent and child relationships: a graphical object can retain a pointer to its creator,…
The document explains how three execution methods divide a parent order into smaller orders. TWAP schedules roughly equal slices at fixed intervals. VWAP varies slice sizes according to expected market volume, aiming to trade more during busier periods.…
The article explains how MetaTrader 5 distributes independent Strategy Tester optimization passes across local agents, a local network farm, and the MQL5 Cloud Network. It describes configuring agents, preparing an optimization, and distributing the Expert…
This example describes a Forex Expert Advisor that combines a model predictive control decision routine with technical indicators and account-level risk adjustments. The routine estimates drift and volatility, adapts its forecast horizon, and searches…
The article explains differential evolution (DE), a population-based metaheuristic for optimizing objectives when gradients are unavailable or the function is difficult to analyze. It represents candidate solutions as vectors, creates trial vectors by adding…
Alexey Masterov describes the Expert Advisor that placed third in the 2012 Automated Trading Championship. It trades GBPJPY with a reversal approach based on a fast and a slow moving average, calculated across the traded pair and other currency symbols using…
This collection of interviews presents varied views from participants in an automated trading championship. The traders discuss how they develop Expert Advisors, what they monitor in testing, and how they think about rule-based trading, strategy design,…
This article examines how to build a floating trading interface in MetaTrader 5 using chart objects. It begins with an embedded chart object and shows how another chart object can be placed inside it, allowing interface elements to move with the outer…
This article describes a socket based bridge that lets an Excel user pass commands to an Expert Advisor in MetaTrader 5 without placing or closing orders directly from Excel. A standalone Python server accepts a MetaTrader connection, reads and writes…
This beginner tutorial explains how to build a Heikin Ashi indicator in MQL5, calculate a moving average from its candle data, and use both indicators in an Expert Advisor. It outlines the Heikin Ashi formulas: average the period’s open, high, low, and close…
The article describes an interactive semi-automatic Expert Advisor for planning and placing manual trades from a MetaTrader chart. Users can set an equity-risk percentage and a risk-to-reward ratio, adjust them while the EA is running, and drag a stop-loss…
This guide explains how to evaluate and subscribe to trade-copying signals through MetaTrader 4 or 5. It describes using ratings, sorting, filters, and server-based matching to find providers whose instruments and execution conditions fit a subscriber’s…
The article presents a modified population-based optimization algorithm inspired by dingo hunting behavior. It changes three parts of the original method: group attacks move toward the best solution by changing the sign and scaling of the attack…
The article explains how to create an indicator-based binary options strategy that communicates with a dedicated utility to simulate trades in MetaTrader 4’s Strategy Tester. Its example uses a fast and slow moving average crossover, with configurable…
The article presents a MetaTrader indicator framework for quickly estimating how trading alerts might perform without first building a complete expert advisor. It organizes signals into four types—buy, sell, buy close, and sell close—then describes…
The article describes a MetaTrader 5 indicator for plotting account balance, equity, floating profit or loss, and a starting-balance reference over historical chart bars. It reconstructs account history from deals, tracks position details, and estimates…
The article explains the Awesome Oscillator (AO), defined as the difference between 5-period and 34-period simple moving averages of median price. It presents the indicator as a momentum measure and describes three basic signal rules: whether AO is above or…
The article offers a geometric interpretation of machine learning prediction error. It argues that a model maps supplied features into a representation that may not align with the space of the true target, so predictions can differ from reality even beyond…
This tutorial introduces the structure and basic operation of MetaTrader 5 Expert Advisors. It explains the roles of the initialization, shutdown, and tick handlers, and distinguishes orders (trade requests), deals (executions), and positions (resulting…
This installment describes changes to a MetaTrader library that supports MQL4 compatibility. It removes duplicate time properties, standardizes time-based selection, adds a custom comment field for orders and positions, and updates the associated property…
The article introduces a quantitative trading idea that measures bullish and bearish price waves with the ZigZag indicator. It compares the latest movement with average wave lengths over a historical window, then uses that comparison to generate buy or sell…
This historical overview describes the development of MetaTrader’s trade-copying Signals service, with emphasis on subscriber protection and making providers’ records easier to assess. Signals are ranked using a quality score, and some are restricted or…
This programming guide explains how to retrieve economic calendar metadata and historical or latest event values through MQL5. It outlines the relationships among country, event, and value records, and describes fields for actual, forecast, previous, and…