Shypd.aiThe largest open index of AI toolsstock-rnn is an open-source tool for predicting stock market prices using RNN models. It utilizes multilayer LSTM cells and optional multi-stock embeddings to demonstrate building and training an RNN model in Tensorflow.
Trending
Also listed in
About
stock-rnn is an open-source project designed to predict stock market prices using Recurrent Neural Network (RNN) models. It specifically employs multilayer Long Short-Term Memory (LSTM) cells, a type of RNN architecture well-suited for sequential data like stock prices. The tool also offers optional multi-stock embeddings, allowing for more complex analysis across different stocks. Its primary purpose is to serve as a practical demonstration for building and training an RNN model within the Tensorflow framework, providing a hands-on platform for users to experiment with stock price prediction methodologies.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
