rishikeshshede/StockMarket-Prediction

Stock price and Index trend prediction using Stacked-LSTM Model.

Stock Price & Index trend analysis

This Project aims to provide a basic analysis/prediction of the stock and index the user wants to possibly invest in or just want to analyze. You can see the possible upward or downward trend in the prices of the stock in a certain period(say 30-60 days).

Note: This project is currently built only for learning purpose and not meant to be used in real life trading in stock market.

Run this project:

Clone the repository

Use Jupiter Notebook or Google Colab (used by us) or any other viable option:

• Open Google Colab in your brower
• Sign In using your google account
• Click on File -> Upload notebook and upload any one file:
  • Index_Prediction_using_Stacked_LSTM.ipynb for Index analysis.
  • Stock_Price_Prediction_using_Stacked_LSTM_GOOGL.ipynb for Stock Price analysis.
• Run all the cells upto downloading the trained model, which will be used to get the output in the frontend.
• Now start the Django server to run the UI.

Outputs

Orange line indicates predicted values.