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.
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.
Advanced Monte Carlo methodology for EA validation in MQL5. Bootstrap resampling of trade sequences reveals hidden path dependency, produces drawdown fan charts, calculates ruin probability, and identifies strategies that look good on single backtests but fail under sequence stress.
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.
MT5 Market Watch prices stuck? Learn to refresh symbols, add missing instruments, reset market watch, and fix data feed issues with this detailed troubleshooting guide.
Post-NFP market trends: US Dollar holds firm on strong jobs data. Analysis of EURUSD, XAUUSD, GBPJPY, and BTCUSD with key levels and directional bias for today's session.
Advanced validation framework for EAs using MQL5 matrix operations. Covers parameter landscape analysis, stability plateau detection, Monte Carlo sequence shuffling, and out-of-sample collapse prevention with complete implementation code.
One EA can trade multiple currency pairs. This guide shows how to attach the same Expert Advisor to different charts, set independent parameters, and avoid common conflicts.
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 2 of the systematic forex series. Defines precise entry triggers, time-based filters, volatility filters, and a step-by-step method to validate any entry rule.
Your MT4 EA won‘t compile due to syntax errors? This guide shows step-by-step how to open MetaEditor, locate error lines, fix missing semicolons, undeclared identifiers, and data type mismatches. Perfect for MQL4 beginners.
Based on 2020-2026 search data, this guide covers the 10 most common MT4/MT5 problems including login failures, EA uninit reasons, connection drops, and context busy errors.
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.
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.
Practical GA implementation for MT4 Expert Advisor optimization. Covers encoding, selection, crossover, mutation, and fitness landscape analysis. Code included.
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.
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.
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 article provides a complete, compilable MQL4 script source code for instantly closing all orders on MT4. It includes options to filter by order type (buy/sell/pending) and magic number, with full parameter explanations.
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.
Ufamy naszemu produktowi, dlatego zapraszamy do bezpłatnego wypróbowania! Zdecydowanie zaleca się wypróbowanie bezpośrednio na koncie rzeczywistym. Oczywiście możesz również zacząć od konta demo, aby najpierw zapoznać się z logiką EA.
♥ Ograniczona liczba miejsc, zarezerwuj teraz ♥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.