Performance analysis of predictive (alpha) stock factors
created at June 3, 2016, 9:49 p.m.
Mostly experiments based on "Advances in financial machine learning" book
created at Feb. 16, 2019, 9:18 p.m.
Environment for reinforcement-learning algorithmic trading models
created at Dec. 9, 2016, 8:46 p.m.
Analysis of High Frequency Trading on Bitcoin exchanges
created at July 27, 2017, 7:11 a.m.
💸 Papers and Code Implements for Quantitative-Trading
created at May 6, 2018, 7:21 a.m.
This trading-gym is the first trading for agent to train with episode of short term trading itself.
created at June 3, 2018, 7:12 a.m.
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.
created at Feb. 23, 2019, 12:01 p.m.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
created at July 21, 2016, 5:14 a.m.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
created at Feb. 1, 2018, 10:02 a.m.
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.
created at May 19, 2019, 10:20 p.m.
Sources codes for: Mastering Python for Finance, Second Edition
created at Aug. 14, 2018, 12:16 p.m.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
created at Dec. 18, 2017, 10:49 a.m.
FinRL: Financial Reinforcement Learning. 🔥
created at July 26, 2020, 1:18 p.m.
Quantitative analysis, strategies and backtests
created at June 27, 2020, 2:38 a.m.