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Testing multiple models on the time series data for stock price prediction

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Project Submission of Investments: Machine Learning for Finance

Le Hoang Minh Trinh, Oguz Han Sayar, Saiteja Reddy Pottanigari

matriculation-number: {18-274-753,21-714-704, 19-763-093}

Requirements

python===3.9.10 tensorflow===2.9.1 statsmodels===0.13.2 pmdarima===1.8.5 scikit-learn===1.1.1

Instructions for dependency check:

  1. Checking if the requirements are met and execute the command python stationaryCheck.py

Instrcution for using the Model with pre-loaded weights:

  1. Checking if the requirements are met
  2. Extract the checkpoint.zip folder and check if it is in the root folder of the file's workspace.
  3. Check if the market_data.xlsx is in the root folder of the file's workspace.
  4. Execute the python project.py

Excuse few plt.show() in between the project.py file.

Instruction for Model Training:

  1. Checking if the requirements are met
  2. Dont Extract the checkpoint.zip folder.
  3. check if checkpoint already exists, please remove it from the root folder of the file's workspace.
  4. Check if the market_data.xlsx is in the root folder of the file's workspace.
  5. Execute the python project.py

Excuse few plt.show() in between the project.py file

NOTE: If the project.py does not work, please try to use the previous versions in descending order.

GITHUB_URL: [email protected]:tejareddy8888/Quantative_Models.git

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Testing multiple models on the time series data for stock price prediction

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