Skip to content

DC769/My-UG-Projects

Repository files navigation

'Title: Mining Sector Stock Price Predictor'

'''Objective: The objective of the application is to provide accurate predictions of future stock prices for key mining companies in India, thereby assisting investors and stakeholders in making informed decisions regarding their investments in the mining sector.

Key Features:

  1. Company Selection: Users can select from a list of top mining companies in India, such as Coal India Limited (CIL), NMDC Limited, MOIL Limited, and Vedanta Limited.

  2. Prediction Model: The application utilizes advanced machine learning models, such as Long Short-Term Memory (LSTM) neural networks, to predict future stock prices based on historical data.

  3. Historical Data Visualization: Users can visualize historical stock price trends for the selected companies, including open, high, low, and close prices, using interactive charts and graphs.

  4. Prediction Visualization: The application displays predicted stock prices alongside actual prices, allowing users to compare and analyze the accuracy of the predictions over time.

  5. Educational Resources: The application provides educational resources on stock market investing and the mining industry to help users better understand the factors influencing stock prices.

  6. Performance Metrics: The application calculates and displays performance metrics for the prediction models, such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE), to assess their accuracy and reliability.

Benefits:

  • Informed Decision-Making: Investors and stakeholders can make data-driven decisions regarding their investments in the mining sector based on accurate stock price predictions.
  • Risk Mitigation: By leveraging predictive analytics, users can mitigate investment risks and capitalize on potential opportunities in the market.
  • Time-Saving: The application streamlines the process of analyzing stock market data and making investment decisions, saving users valuable time and effort.
  • Continuous Improvement: The application can be continuously updated and improved based on user feedback and new developments in the mining industry and financial markets.

Conclusion:

The Mining Sector Stock Price Predictor application serves as a valuable tool for investors and stakeholders in the mining industry, empowering them to make informed investment decisions and navigate the complexities of the stock market with confidence.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published