A comprehensive 2026 tutorial covering the most searched MT4/MT5 topics: EA installation steps, login error fixes, Linux VPS deployment, CSV data export from MT5, and mobile trading essentials.
Compare MT4 and MT5 in 2026: timeframes (9 vs 21), order types (4 vs 6), backtesting speed, and asset support. Decide which platform suits your trading needs.
Based on 2025-2026 search frequency data, this guide covers the top 5 MT4/MT5 user issues: server search failures (China region), Mac EA loading problems, VPS deployment, adding symbols on mobile, and exporting historical data.
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.
Preview of June 15-19 FX market events: Fed and BOJ rate decisions, US Retail Sales, UK CPI. Analysis of USD, JPY, GBP impacts and trading strategies.
Fix MT4 EA loading failures and DLL errors. Learn step-by-step solutions for common EA issues, VPS setup, history export, and backtesting for crypto trading.
This guide covers advanced grid search optimization techniques for MQL4 EAs, including parameter space design, performance surface analysis, and robustness validation with executable code examples.
Final part of the systematic forex series. Covers the weekly review protocol, system iteration rules, and a continuity method to keep improving after the series ends.
This guide covers walk-forward optimization for MT4 backtests, including parameter stability matrices, out-of-sample validation code, and detection of future function leakage for reliable EA performance.
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 guide covers the critical differences between MQL4 and MQL5 for EA migration: OrderSend vs PositionOpen, ticket handling, and unified order history. Includes working conversion code.
Step-by-step technical guide for converting MQL4 EAs to MQL5. Covers OrderSend to PositionOpen mapping, tick handling, time series reversal, and backtest compatibility adjustments.
This guide compares genetic algorithms and grid search for EA parameter optimization in MQL4. Includes practical code examples, overfitting prevention techniques, and robustness validation methods.
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.
Advanced breakdown of MQL4 OrderSend function: every parameter, error handling with GetLastError(), slippage math, and avoiding backtest overfitting with order rejection logic.
Advanced guide to MQL4 OrderSend function: parameters breakdown, common errors (130, 138), slippage handling, and backtest-safe implementation. Runnable code for market/pending orders.
Deep dive into GA-based parameter optimization for EAs. Covers fitness function design, convergence monitoring, Pareto efficiency, and practical MQL5 implementation with code.
Part 4 of the systematic forex series. Covers pre-trade psychological checklists, emotional state logging, tilt detection, and structured trade management during open positions.
A 10-part systematic forex trading course covering system building, position sizing, psychology, EA principles, backtesting, and risk management. Modular and continuable.
Implement genetic algorithm for EA parameter optimization in MQL5. Covers fitness scoring, overfitting metrics, population diversity formula, and walk-forward validation with code.
저희 제품에 자신 있으니 무료로 사용해 보시길 권장합니다! 실계좌에서 직접 사용해 보시기를 강력히 권장합니다. 물론 데모 계좌로 시작하여 EA 로직을 먼저 익히실 수도 있습니다.
♥ 한정 슬롯, 지금 신청하세요 ♥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.