Stock Price Prediction
Data analysis has found its applications in many interesting fields over the years. Stock market is one of them where a lot of historical data is available. However, predicting stock prices is possible only up to a limited extent as stock market is driven not only by data but also by many many other unpredictable random factors. This is only a test project with limited scope. We have tried to use Neural Network, specifically the LSTM model, to predict the stock prices based on behavior of a Time-series data.
Features
Prediction on real data
Our prediction is not only based on the share market data. We enhance our prediction based on the real-time data like financial data and news information etc. Our data analysis and risk management systems forecast the stock price.