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MLEProject

Binder

part-1

  • Given SP500 ticker list
  • Get all NYSE ticker list
  • Get ticker data using yfinance
  • Calaculate market capitalization for all sp500 tickers and list top 5 companies based on market capitalization
  • Create regressor with multiple algorithms and
  • pass 200 estimators
  • Caluculate volatility of all SP500 companies lst top 5 conservative and aggressive type stocks
  • Compute voalatility based on open price than closed price
  • Predict price for given number of stocks
  • list top stockes based on user input (based on volatility)

part-2:

  • Getting the Income of the User.
  • ML Based Recommendation or not
    • If yes,
      • Get the number of stocks to analyse
      • Get the data from yfinance API and train ML classification algo on it.
      • Predict the future 3 day’s BUY SELL behaviour of each stock
      • Recommend the user
    • If no:
      • Get User Selected stocks
      • Distribute the money on this basis market capitalisation.

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