Stock-market-prediction-clustering

Stock market prediction using clustering

The stock market is one of the most dynamic and volatile sources of data. The data is generated every second as the money never sleeps. The change in the values of stocks is a result of various measures and sentiments of the people. In this project, I’ve tried to cluster the stocks of National Stock Exchange (NSE) India in Top gains and Losers over a period of time.

Requirements

• Python 3x

  Anaconda

• Keras
• Nsepy pip install nsepy
• Nsetools pip install nsetools

References

• NSEpy
• Nsetools
• Stock Market Prediction using LSTM

Architecture Diagram

Future Work

• Implementation of twitter sentiment analysis using Neural networks for the specific stock listed.
• Implement the prediction parallaly for each stock to steed up the process
• Apply cuckoo algorithm to find the best apprached prediction thread.