Building a Trading Software from Scratch: Architecture with Python & MetaTrader 5 (Series #1)

Hey traders! 🚀 I’m Evgeny, and in this video, we’re kicking off a series on building custom trading software from the ground up! In this first episode, I’ll walk you through the architecture of our trading system: from the core to integration with MetaTrader 5 via ZeroMQ. Learn why I chose Python, how modular strategy aggregators (EMA, RSI, MACD) work, and how we’ll test strategies on historical data and live markets. This is the perfect start for anyone looking to create a flexible trading system for Forex, crypto, or stocks! 💻
🔥 What’s inside:
• Why custom software beats TradingView, QuantConnect, and other platforms
• How Python simplifies development (pandas, ta-lib, PyTorch)
• Core, integration bus, and modular architecture
• Working with CSV and ZeroMQ for MetaTrader 5
• Future plans: GPU support, machine learning, and visualization
📢 Subscribe to follow the series where we’ll write code, test strategies, and build a full-fledged trading bot! Share in the comments what indicators or features you’d add to this software. Your feedback will make the project even better! 😎
🔗 Links:
• My Telegram: https://t.me/evz_tech
• Support the project: https://boosty.to/evz-tech/donate