{"full_name":"borisbanushev/stockpredictionai","owner":"borisbanushev","name":"stockpredictionai","url":"https://github.com/borisbanushev/stockpredictionai","description":"       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.","homepage":"","topics":[],"language":"JavaScript","license":null,"avatar":null,"created_at":"2019-01-09T08:02:47Z","pushed_at":"2025-08-19T04:04:58Z","metrics":{"stars":5607,"forks":1867,"watchers":null,"issues":null,"prs":null,"releases":null,"issues_open":null,"issues_closed":null,"prs_open":null,"prs_closed":null,"prs_merged":null,"discussions":null},"growth":{},"history":{"dates":["2026-11-10"],"stars":[5607],"forks":[1867],"watchers":[null],"issues_open":[null],"prs_open":[null]},"boards":{},"same_owner":[],"issues":[],"discussions":[],"latest_release":null,"readme":false,"readme_zh":false,"news":[],"stale":false,"snapshot_at":"2026-11-10T09:35:25Z","history_start":"2026-09-06"}