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.
π Free courses with full code and data for subscribers of my Telegram channel Data Lab: https://t.me/lavrinenko_data
π The full course on Udemy, βAI Forex Trading Bot with Machine Learning, Python & MT5β: https://www.udemy.com/course/build-a-machine-learning-trading-bot-in-python/?referralCode=59ABEDBF83EA5E7A1812
π My other courses on Udemy:
β’ Forex Algorithmic Trading: Backtesting Strategies in Python: https://www.udemy.com/course/test-it-before-you-trade-it-backtests-without-curve-fitting/?referralCode=AAFD579BEC179990057A
β’ Forex Risk Management & Position Sizing for Trading Robots: https://www.udemy.com/course/forex-risk-management-position-sizing-for-trading-robots/?referralCode=90AEC80D7222F92C6E93
Chapters:
0: 00 Intro: 39M ticks in, one order out
0: 10 ML trading pipeline: ticks to parquet
1: 10 1-3. Look-ahead bias, numba, the dataset
2: 29 4. Features and data leakage
3: 53 5. The model’s numbers
4: 41 6. Testing in time: walk-forward
5: 29 7. Selection on the whole history
5: 46 8. From research to live: MT5 python
6: 39 Patience with live results, one rule
7: 37 What to test next
I’m Vasyl Lavrinenko. For more than 20 years I’ve been building trading systems for real investors, and my Expert Advisors have won awards at international trading competitions. On this channel I test trading ideas on real market data and show what actually works, and what doesn’t.
π¬ Which idea should I test next? Tell me in the comments.
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Topics: machine learning trading bot in Python, AI trading bot for forex, algorithmic trading with Python, MT5 expert advisor programming, Python trading strategy, machine learning algo trading.
#tradingbot #machinelearning #forex
Educational content only, not financial advice. Trading involves a risk of loss.