Development of Custom MT5 EA for boom 1000

Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE

I have an existing MT5 Expert Advisor for XAUUSD M5. This is NOT a new robot from zero. I need modification and professional review of an existing MQL5 EA. Main goals: 1. Buy entries: Buy trades are currently too rare. The Buy ADX filter was very strict at 45. I am testing 40 now. I need you to review the Buy entry filters and improve Buy entry quality without making entries random or weak. 2. Sell entries: Sell

I am looking for an experienced MQL5 developer to build a professional MetaTrader 5 (MT5) Expert Advisor (EA) for swing trading. Trading Pairs EUR/USD USD/JPY Timeframes Daily (D1) for trend identification. H4 for trade entries. Strategy The EA should: Detect Daily market structure (HH, HL, LH, LL) using confirmed swing highs and lows (not relying solely on ZigZag). Use DMI/ADX for trend confirmation. Open trades

JOB TITLE: XAUUSD ONLY MQL5 Strategy Developer Needed To Improve Existing MT5 EA Winrate JOB DESCRIPTION: I already have a working MetaTrader 5 Expert Advisor with a fixed set file and existing trading logic. The strategy is based on Volume Profile / Delta bias, ATR-based TP/SL, ATR deviation filtering, ATR trade spacing, break-even after TP1, and TP lock management. I am looking for an experienced MQL5 / trading

أحتاج إلى مستشار خبير لمنصة MetaTrader 5 (MT5) مصمم كآلة حالة محدودة (FSM). يجب أن ينفذ أوامر السوق فقط بناءً على مستويات أسعار يحددها المستخدم. يجب ألا يستخدم أي مؤشرات أو تحليل فني أو أوامر معلقة أو ذكاء اصطناعي أو قرارات تداول تلقائية. يجب أن ينفذ المستشار الخبير ببساطة تسلسلًا محددًا مسبقًا لمستويات الأسعار كما يحددها المستخدم تمامًا، مع إدارة دقيقة للحالة، ودورة نشطة واحدة في كل مرة، ومعالجة الفجوات السعرية،

Мне нужен простой торговый бот, написанный исключительно на Python. Бот должен подключаться к терминалу MetaTrader 5 через официальную библиотеку Python "MetaTrader5". Объем кода невелик (около 250 строк). КРИТИЧЕСКИ ВАЖНЫЕ ТРЕБОВАНИЯ: 1. НЕТ КОДА MQL5: Весь проект должен быть написан только на Python. 2. ВНЕШНЯЯ КОНФИГУРАЦИЯ: У бота должен быть внешний конфигурационный файл (config.ini или settings.json). Я должен

[7/6/2026 12:24 PM] DR.HassaN: Current Phase: Comprehensive Review & Final Enhancement_ This indicator is designed for the TradingView platform. Now that the core engines have been completed, I want to enter a comprehensive review and professional enhancement phase before adding any major new features. My goal is to transform this indicator into a premium institutional-grade TradingView indicator , both in terms of

Part 1: Project setup Input settings (risk, stop loss, take profit, EMA periods) Indicator initialization Trade management framework Part 2: Trading logic EMA crossover detection Buy/Sell entry rules One-trade-per-symbol check Part 3: Risk management Automatic lot size calculation Stop-loss and take-profit placement Trade execution and error handling Part 4: Final touches On-screen information Optimization

I am looking for an experienced MQL4 or MQL5 developer to build a high-frequency (HFT) latency arbitrage Expert Advisor for cryptocurrency trading between LMAX and IC Markets. I need someone who understands low-latency execution, price feeds, slippage, spreads, and fast order execution. The basic idea is that LMAX acts as the leading price feed while IC Markets is the execution broker. The EA should constantly

I am looking for an experienced MQL5 or MQL4 developer with a strong background in low-latency algorithmic trading, market data integration, arbitrage and execution optimization. The project involves developing a high-performance HFT Expert Advisor (EA) for XAUUSD or US30 on IC Markets that is designed for robust execution in both demo and live environments. The EA may use market data feeds (such as lmax,one zero or