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Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)
Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections