/Stock_prediction_approach_modified

A python based project to predict values based on RNN and Regression

Primary LanguageJupyter NotebookMIT LicenseMIT

Stock_prediction_approach_modified

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

Model used to predict relevant tickers:

relevant

Plot of market indicators:

market indicators

Model used to predict the actual target ticker:

Target

Result:

Result