Expert Advisor Based on Historic Trading Data

I need a custom Expert Advisor for MetaTrader 5 that trades AUDUSD and AUDCAD using a medium-risk strategy. It should use fixed lot size, stop-loss and take-profit, and limit open trades. The bot must be compatible with Pepperstone live accounts and optimized for H1 timeframe. No martingale or grid strategies. I want clean code, reliable execution, and visible trade logic. File format should be .ex5

I already have 4 different indicators on tradingview source codes I wanted to merge 2 then 2 the way the are without changing the source codes or the original source. Each drawings and signals should remains same even after merging 2 and 2 separately by making it 2 indicators instead of 4 as they are now. You will make it compatible with tradingview panel without changing the original source of each.I want it within

Quiero contratar un programador para crear un EA (Expert Advisor) para MetaTrader 5 con las siguientes características: REQUISITOS DEL EA: 1. Operar en el instrumento XAUUSD o XAUUSDm (Exness). 2. Estrategia tipo scalping, abriendo compras y ventas continuas. 3. Lote inicial 0.01, con opción para aumentar automáticamente el lote. 4. Meta diaria: cuando el robot gane 100 USD, debe detenerse automáticamente (no abrir

generate or create me a python coded file that has mql5 language requirements for a trading bot under the following instructions. the bot must execute trades if necessary the bot must trade 24/7 the bot must trade gold and currency the bot must make unlimited profit hourly the bot must enter market with caution after market analysis of 98 percent of clear trade

You should be able to explain how it works . Specification for the job will be written accordingly , ( as to how i want it with my expert advisor ) Live Chart Testing

https://www.youtube.com/live/Fn6ucmWyuAA?si=x96zzN07q8Diif8a To build a fully automated AI-style trading robot similar to the one demonstrated in the video, which opens, manages, and closes trades automatically based on adaptive market behavior. The system should visually and functionally resemble the performance shown in the video but include transparent, editable logic for long-term optimization