Quant/Algorithm trading resources with an emphasis on Machine Learning
created at Nov. 5, 2018, 9:09 p.m.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
created at Jan. 9, 2019, 8:02 a.m.
Mostly experiments based on "Advances in financial machine learning" book
created at Feb. 16, 2019, 9:18 p.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.
A curated list of practical financial machine learning tools and applications.
created at March 21, 2019, 9 p.m.
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
created at April 22, 2019, 10:03 a.m.
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）
created at May 19, 2019, 9:04 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.
High-performance TensorFlow library for quantitative finance.
created at July 24, 2019, 4:09 p.m.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
created at July 30, 2019, 9:28 p.m.
Quantitative analysis, strategies and backtests
created at June 27, 2020, 2:38 a.m.
FinRL: Financial Reinforcement Learning. 🔥
created at July 26, 2020, 1:18 p.m.
Scalable machine 🤖 learning for time series forecasting.
created at April 26, 2021, 8:58 p.m.
ML powered analytics engine for outlier detection and root cause analysis.
created at May 27, 2021, 8:13 a.m.
Javascript SDK for trading on cryptocurrency exchanges like FTX, OKX, Bybit, and more. Supports API data feeds and WebSocket. Built by the Compendium Team.
created at Oct. 28, 2022, 7:27 p.m.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
created at Feb. 11, 2023, 8:21 p.m.