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stationery

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This project uses Random Forest and ARIMA models to predict daily gold prices with 97% accuracy. By cleaning and analyzing historical data (2016–2021), we created a model that provides actionable insights. Deployed with Streamlit, it offers real-time forecasting for investors and traders to stay ahead of the market.

  • Updated Jan 4, 2025
  • Jupyter Notebook

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