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reliance-stock-price-prediction-lstm's Introduction

Reliance Stock Price Prediction using LSTM Model

This Google Colab notebook contains an implementation of an LSTM model to predict the future stock prices of Reliance Industries Limited (RIL). The model is trained on historical data spanning from January 2018 to April 2023, and it generates forecasts for the next 10 trading days.

Screenshot (186)

Usage

  • Open the Google Colab notebook in your web browser.
  • Follow the instructions in the notebook to install the required packages, load the stock data, preprocess it, and train the LSTM model.
  • Once the model is trained, you can use it to generate predictions for the next 10 trading days by running the appropriate code cells in the notebook.
  • You can visualize the predicted stock prices and compare them with the actual prices by running the code cells that generate plots.
  • You can modify the code and experiment with different hyperparameters to improve the accuracy of the predictions.

Automated prediction and saving:

  • To run predict.py use python3.8 (recommended).
  • Run the predict.py to schedule the prediction function to run automatically every day. This function train the model, the preprocessed data, and the file path to save the predicted values as input, action.yml used here to schedule the prediction (predict.py) to run every day at a specific time.
  • The predicted values will be saved in the specified Excel file. You can open this file to view the predicted values for each day. Note that the predicted values should be used for informational purposes only, and they should not be relied upon for making financial decisions.

Note that the model's predictions should be used for informational purposes only, and they should not be relied upon for making financial decisions.

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reliance-stock-price-prediction-lstm's Issues

Hactoberfest 2023

We can engage in a constructive discussion regarding Hacktoberfest PRs here.

Kindly provide additional information about the issue you'd like to address. This will allow us to collaboratively outline the scope of contributions for potential contributors, fostering a productive and supportive environment for all

Enhance workflow to improve PR validation and code quality.

As this repo has its workflow enabled only after merge, which is not a good practice, so we want to check PR before merging it.

Need proposal to refine GitHub Actions workflow for PRs, validating changes against 'main' branch and adding thorough tests.

Video Tutorial Required

I am very interested in your project, Can you please share the video tutorial how to properly use and run it. I am not a Data Science student but i am interested in testing such projects of stock markets

Solution for Error 403 when using Push and Commit changes.

  1. Authentication : Ensure you have the correct authentication in your workflow YAML, such as a personal access token (PAT) or appropriate credentials.

  2. Branch Permissions : Verify that you have permissions to push to the target branch, especially if it's protected.

  3. Repository Permissions : Make sure your authentication token or credentials have the required permissions for the actions you're performing.

  4. Token Scope : If using a PAT, confirm it has the necessary scopes, like repo or workflow.

  5. Workflow File : Check your workflow YAML for syntax errors or misconfigurations, especially in the steps related to checking out the repository and pushing changes.

By addressing these points, you can troubleshoot and resolve the 403 error in your GitHub Actions workflow.

Kindly Merge this Request after 1th October under the Hactoberfest Event if you got your Solution of the Problem you are facing.

Error 403: permission denied

I'm trying to push and commit changes in this repo through YAML script in github workflows, but getting Error 403.

Kindly, look in this issue in Actions, modify it.

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