Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
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Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
FinRL®: Financial Reinforcement Learning. 🔥
Performance analysis of predictive (alpha) stock factors
Quantitative analysis, strategies and backtests
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
TensorForce Bitcoin Trading Bot
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Mostly experiments based on "Advances in financial machine learning" book
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Analysis of High Frequency Trading on Bitcoin exchanges
Research experiments exploring uncommon quant techniques.
💸 Papers and Code Implements for Quantitative-Trading