A python based project to predict values based on RNN and Regression
This approach uses 10 most correlated ticker's adjusted close, indicators like Dow Jones, SnP 500, Google Trends, News data and stock market predicters like Support, Resistance, volatility index and moving average combined with volume, open, high, close to predict the stock prices.
Read more on: https://medium.com/@myac.abhijit/stock-price-prediction-a-modified-approach-8d63ea6726a7
