Develop an EA on contrarian sentiment of market

Привіт. Шукаю когось, хто б застосував мій код як бота . Я торгую індексом Aus_200 SFE (не XJO). Бот базується на MACD входу/виходу, RSI, стохастиці та vwap. Як тільки роботу приймуть, мені потрібно внести кілька коректив; однак, нічого суттєвого. Дякую

Hello everybody, I'm looking for an experienced MQL4/MQL5 developer to optimize a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5. The EA performs consistently and profitably on demo accounts, but when it is run on Raw and Standard live accounts under what appear to be the same trading conditions, it begins generating losses. I do not have the original source code (.mq4/.mq5); I only have the

I have a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5 designed primarily for US30 (Dow Jones Index) . The EA performs consistently and profitably on demo accounts, but when I run it on an IC Markets Raw or Standard live account, it starts generating losses under what appear to be the same trading conditions. At this time, I cannot provide the source code (.mq4/.mq5). I can only provide the

I want to build a fundamental news trading bot that trade off economic news data, as we know every economic news data released always have effect on the asset associated with it, so this bot will take a trade instantly based on the news data released either to buy or sell, it will come with good money management and also SL and TP target based on price and pips value

1. Use two EMAs: 20 and 50. If EMA 20 is above EMA 50 → uptrend (look for buys) If EMA 20 is below EMA 50 → downtrend (look for sells) 2. Wait for a pullback into the area between the two EMAs. - For buys: price must touch or move between EMA 20 and EMA 50 during the last few candles. - For stils: same idea, but in a downtrend. 3. Entry signal: Buy: a bullish engulfing candle in an uptrend after the pullback

I am looking for an experienced MQL5 developer to build a high-frequency (HFT) latency arbitrage Expert Advisor for Pepperstone MT5 , using LMAX as the leading price feed. The initial focus will be on US30 (Dow Jones) , and if the strategy proves successful, I want the EA to be easily expandable to additional symbols such as NAS100, GER40, XAUUSD, major forex pairs, and other supported instruments. The EA should

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

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

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

Title: Need 5 Years Historical Trading Central Analyst Views Data for Backtesting Hello, I need historical Trading Central Analyst Views data for at least the past 5 years. This is not only a tool to record new signals from today. I need past historical data already available from previous years. The data I need should include, if available: Symbol : XAUUSD / GOLD Date and time of the Analyst View Timeframe: 30 MIN