Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Deep Learning for humans

An Interview Primer for Quantitative Finance

BTSE API Sample

a light-weighted, integrated trading system

基于Python的开源量化交易平台开发框架

Simple financial data for Python

💰 Cryptocurrency Trading Bot for Binance (Experimental)

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Python module(s) to get stock data, options data and news.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++