A curated list of practical financial machine learning tools and applications.
created at March 21, 2019, 9 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.
Mostly experiments based on "Advances in financial machine learning" book
created at Feb. 16, 2019, 9:18 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.
Quant/Algorithm trading resources with an emphasis on Machine Learning
created at Nov. 5, 2018, 9:09 p.m.
Trading Environment(OpenAI Gym) + PPO(TensorForce)
created at Aug. 25, 2018, 10:38 a.m.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
created at Aug. 24, 2018, 7:19 a.m.
Sources codes for: Mastering Python for Finance, Second Edition
created at Aug. 14, 2018, 12:16 p.m.
Python live trade execution library with zipline interface.
created at Aug. 2, 2018, 4:26 p.m.
My algorithmic trading strategies with the Gekko cryptocurrency trading bot.
created at June 23, 2018, 4:08 a.m.
Ethereum trading algorithm using Python 3.5 and the library ZipLine
created at June 23, 2018, 1:37 a.m.
【停止维护】新版本更新已迁移到 IBATS 项目组对应名称项目中。连接火币交易所,获取火币实时行情、火币历史行情,保存到mysql数据库同时redis广播,供 ABAT 交易平台进行策略回测、分析,交易使用
created at June 21, 2018, 1:39 a.m.
Building a population of models that trade crypto and mutate iteratively
created at June 10, 2018, 2:55 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.
Quantitative crypto bot framework
created at May 22, 2018, 5:04 p.m.
💸 Papers and Code Implements for Quantitative-Trading
created at May 6, 2018, 7:21 a.m.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
created at April 8, 2018, 2:06 p.m.