Shypd.aiThe largest open index of AI toolsStockPredictionRNN is an open-source finance tool that uses LSTM Recursive Neural Networks for high-frequency trading price prediction. It helps predict prices in high-frequency stock exchange markets using NYSE OpenBook history data.
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StockPredictionRNN is an open-source project designed for high-frequency trading price prediction, leveraging LSTM Recursive Neural Networks. This tool is specifically engineered to forecast prices within high-frequency stock exchange environments. It implements its prediction solution using historical data from NYSE OpenBook, allowing users to recreate the limit order book for any given time. The project is written in Python 2.7 and utilizes the Keras library, along with dependencies like Theano, numpy, scipy, matplotlib, and pymongo. It provides instructions for data acquisition from NYSE FTP servers and a clear installation and usage guide for setting up the environment and running the prediction models.
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