Tian Hongliang, a special analyst for XM Group, provides a technical outlook for major forex pairs, gold, and indices for June 10. Key levels for EURUSD and XAUUSD are highlighted amid current market trends.
This article provides a specific trading system for cross pairs GBP/JPY and EUR/JPY. Covers volatility-based position sizing, session time filters, stop loss methods, and psychological rules for fast markets.
A specialized guide for trading Gold (XAU/USD) using manual or EA strategies. Covers gap rules, volatility-adjusted lot sizing, session-based entries, and stop-hunting protection.
This article provides a complete MQL4 utility script that closes all open orders based on either a fixed daily time or a global profit target in deposit currency. Includes full source code, compilation steps, and parameter guide.
Technical comparison of genetic algorithms and grid search for EA parameter optimization. Covers convergence behavior, overfitting risks, walk-forward validation, and includes a modular MQL5 optimizer code snippet.
Technical deep dive into EA parameter optimization methods. Genetic algorithm reduces runtime by 80% vs grid search. Includes overfitting detection and walk-forward validation code for MT4.
Technical deep dive into EA parameter optimization methods. Compare genetic algorithms and grid search, implement selection pressure and crossover logic in MQL4, and validate with out-of-sample forward testing.
Advanced genetic algorithm implementation for EA parameter optimization. Covers population initialization, crossover, mutation, and walk-forward validation to prevent overfitting in MT4/MT5.
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.
Bitcoin trades between $67,800 and $69,200. This tutorial covers MT4 EA installation, DLL error fixes, backtesting crypto strategies, and using VPS for 24/7 trading.
Advanced guide on migrating EAs from MQL4 to MQL5. Covers OrderSend to CTrade conversion, tick model differences, and backtest compatibility fixes with runnable code.
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.
Fix EA loading failed on MT4 due to DLL calls. This guide shows how to enable DLL imports, adjust settings, and avoid common mistakes.
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.
Advanced MT4 to MT5 EA migration techniques covering order pooling, historical order selection with time filters, and event handler differences. Runnable code examples for professional EA porting.
This tutorial explains how to export full account history from MT4, generate equity curve data, and save trade reports for performance analysis using built-in tools.
This tutorial explains how to export complete MT4 account history to CSV format, including trade list, order details, and using the built-in report generator for professional data analysis.
This tutorial shows how to export complete MT4 account history, save trade data to CSV, and use it to build an equity curve for performance analysis.
Learn how to export full account history from MT4, save as CSV/HTML, and build equity curve data for performance analysis. Perfect for traders tracking their results.
This tutorial explains how to export historical data from MT5 for backtesting, including downloading tick data, using the export function, and formatting for external analysis tools.
به محصول خود اطمینان داریم، بنابراین از شما استقبال میکنیم که آن را به صورت رایگان امتحان کنید! اکیداً توصیه میشود به طور مستقیم روی یک حساب زنده امتحان کنید. البته، میتوانید برای آشنایی اولیه با منطق EA با یک حساب دمو نیز شروع کنید.
♥ تعداد محدود، همین حالا ثبتنام کنید ♥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.