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stock-price-forecasting

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Gathered, cleaned and transformed stock price, balance sheet, income and cash flow statements data for 629 companies. Built a neural network to forecast stock prices based on the companies’ fundamental data for a 1-year investment horizon

  • Updated Apr 28, 2020
  • Python

This repository implements the Prophet model for predicting prices of financial instruments like currencies, stocks, and cryptocurrencies. It uses gradient boosting techniques to capture complex patterns in price movements, enhancing forecast accuracy and robustness for financial predictions.

  • Updated Dec 22, 2024
  • Python

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