QuantResearch by letianzj

Quantitative analysis, strategies and backtests

updated at June 16, 2024, 9:02 a.m.

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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.

updated at June 16, 2024, 9:15 a.m.

Unknown languages

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playground by tensorflow

Play with neural networks!

updated at June 16, 2024, 9:39 a.m.

TypeScript

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pyfolio by quantopian

Portfolio and risk analytics in Python

updated at June 16, 2024, 9:48 a.m.

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