An AI forex trading bot, built step by step with real sizes: 39 million EUR/USD ticks, 40,955 signals, a dataset of 29 features, a walk-forward, a server and a MetaTrader 5 robot. And eight places where research quietly stops matching live trading. 📚 Free courses with full code and data for subscribers of my Telegram channel Data Lab: https://t.me/lavrinenko_data 🎓 The full course on Udemy, “AI Forex Trading Bot with…

An MT5 Python trading bot: twenty-nine numbers go from a MetaTrader 5 robot to a Python server, and one probability comes back. The architecture, what the model file must carry, timeouts, fallbacks, and everything that can go wrong in between. 📚 Free courses with full code and data for subscribers of my Telegram channel Data Lab: https://t.me/lavrinenko_data 🎓 The full course on Udemy, “AI Forex Trading Bot with Machine Learning,…

Machine learning for trading: two halves of the data agree with a correlation of 0.71. Split them so that one price move cannot land in both halves, and it drops to 0.01. The trap of overlapping signals, on 40,955 real signals. 📚 Free courses with full code and data for subscribers of my Telegram channel Data Lab: https://t.me/lavrinenko_data 🎓 The full course on Udemy, “AI Forex Trading Bot with Machine…

Dozens of hypotheses, each weeks of work; a handful survived. How small what survives really is, what finding it cost, and why I describe its shape but not its settings. 📚 Free courses with full code and data for subscribers of my Telegram channel Data Lab: https://t.me/lavrinenko_data 🎓 The full course on Udemy, “Forex Algorithmic Trading: Backtesting Strategies in Python”: https://www.udemy.com/course/test-it-before-you-trade-it-backtests-without-curve-fitting/?referralCode=AAFD579BEC179990057A 📘 My other courses on Udemy: • AI Forex…

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