Resources
machine-learning-for-trading
stefan-jansen/machine-learning-for-trading
The companion code for Machine Learning for Trading, 3rd edition, with notebooks and nine end-to-end case studies from data sourcing to live strategy deployment.
Topics
Related projects
FinceptTerminal33.6kA native desktop finance terminal for market data, equity research, portfolio analytics, and paper or live trading, with optional AI research agents and hundreds of data connectors.
nautilus_trader31.2kA production-grade Rust trading engine with Python strategy control for unified backtesting and live multi-venue execution.
marimo23.5kA reactive Python notebook stored as plain .py files that reruns dependent cells, supports SQL and interactive widgets, executes as scripts, and deploys as web apps.
fiftyone11.3kAn open-source toolkit for visualizing, curating, and evaluating high-quality visual AI datasets and models.
cs249r_book30.2kHarvard's open Machine Learning Systems curriculum with textbooks, labs, simulators, and hardware kits for AI engineering.
fastbook25.5kThe fastai deep learning book as Jupyter notebooks, teaching practical deep learning with PyTorch through hands-on course material.