Step-by-step guide to export MT4 account history, prepare backtesting data, generate equity curves, and fix MT5 errors. Includes VPS setup and MQL4 basics.
Complete MT4 EA source code implementing a dual moving average crossover strategy. Includes entry logic, stop loss, take profit, and position management. Perfect for beginners learning EA programming.
Three practical position sizing methods for forex traders: Fixed Fractional, Kelly Criterion (half-Kelly), and Fixed Ratio. Includes Excel-ready formulas, maximum drawdown tables, and a step-by-step implementation plan.
Professional RSI-based mean reversion EA for MT4. Opens BUY when RSI rises above oversold level, SELL when falls from overbought. Includes fixed stop loss, take profit, and trade time restrictions.
This guide focuses on eliminating future functions and data snooping bias in MT4 backtests. Provides safe OrderSend implementation, bar shifting rules, and minimum sample size formulas.
This article provides complete MQL4 source code of a moving average crossover EA, including usage instructions and parameter explanation. Perfect for beginners learning automated trading.
How to detect and remove future function in MQL4 EA backtest, plus order-fill simulation using volume and spread. Includes runnable code for realistic slippage modeling.
Part 5 of a 10-part series. Professional backtesting methods for forex: tick data requirements, walk-forward validation, Monte Carlo simulation, and common backtest pitfalls.
This article provides a complete MQL4 EA source code based on double moving average crossover strategy. Includes trade filters, trailing stop, risk management, and detailed parameter explanations for beginners to learn EA programming.
Practical GA implementation for MT4 Expert Advisor optimization. Covers encoding, selection, crossover, mutation, and fitness landscape analysis. Code included.
Maximum drawdown is the real killer of trading accounts. This guide provides concrete risk control rules: single trade limits, daily stop-loss, correlated pair management, and EA risk parameter settings.
This guide walks you through writing your first Expert Advisor from scratch. Learn the complete code structure, understand OnInit/OnTick/OnDeinit functions, and run your EA on a demo chart.
This comprehensive guide covers all aspects of functions in MQL4 including function declaration, definition, parameters, return values, scope, and overloading. Learn to create modular EA code with practical examples.
This comprehensive guide covers all MQL4 data types including int, double, string, bool, datetime, and color. Learn variable declaration, naming conventions, scope rules, and type conversion with practical EA examples.
This comprehensive guide covers all MQL4 operators including arithmetic, comparison, logical, and assignment types. Learn operator precedence, expression evaluation, and practical EA coding examples with complete source code.
Professional MT4 EA implementing RSI mean reversion strategy with entry filters, trailing stop, and risk management. Ideal for scalping on M1-M15 timeframes. Complete source code included.
This comprehensive guide covers all conditional statements in MQL4 including if, else if, else, and switch. Learn how to control EA trading logic flow, validate trade conditions, and implement multi-branch decision making with practical examples.
A complete dual MA crossover EA in MQL4 with source code, parameter guide, and compilation steps. Suitable for beginners learning EA programming.
EA attached to MT5 chart but doing nothing? This guide walks through the complete debugging process: checking the EA icon, global Algo Trading button, reading the Journal tab, and fixing common runtime errors like Invalid Stops and Not Enough Money.
A 97% win rate EA can still lose money. This guide uses real 2026黄金 backtest cases to show how to spot overfitting, validate strategies with forward testing, and avoid common optimization traps.
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♥ Slot terhad, tuntut sekarang ♥Any pattern that arises in nature or exists can be effectively discovered and modeled by classical learning algorithms.
"The market is always changing; the ability to adapt to change is the core advantage of a trader.
"Risk comes from not knowing what you are doing.
"EA automated trading is not meant to replace people entirely, but to overcome human weaknesses.