stockpredictionai by borisbanushev
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.
Awesome-Quant-Machine-Learning-Trading by grananqvist
Quant/Algorithm trading resources with an emphasis on Machine Learning
created at Nov. 5, 2018, 9:09 p.m.
NYU 金融机器学习 中文笔记PENDAX-SDK by CompendiumFi
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.