Emerald II
1,860 Elo
- #978 on the ladder
- ±0 today · −13 this week
- Peak 1,875
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
stefan-jansen/machine-learning-for-trading is #978 on the bestofgithub Elo ladder, in Emerald II, with a rating of 1,860 (−13 this week). It has 21,829 stars, 71 gained in the last week.
1,860 Elo
21,829
git clone https://github.com/stefan-jansen/machine-learning-for-trading && cd machine-learning-for-trading && docker compose up -dA curated list of practical financial machine learning tools and applications.
git clone https://github.com/firmai/financial-machine-learning.gitThe research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
pip install vectorbt"Vibe-Trading: Your Personal Trading Agent"
pipx install vibe-trading-ai🔎 📈 🐍 💰 Backtest trading strategies in Python.
git clone https://github.com/kernc/backtesting.py.gitFinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
git clone https://github.com/Fincept-Corporation/FinceptTerminal.gitAll course materials for the Zero to Mastery Machine Learning and Data Science course.
git clone https://github.com/mrdbourke/zero-to-mastery-ml.gitLoading README…