• Stars
    star
    8
  • Rank 2,099,232 (Top 42 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created almost 4 years ago
  • Updated over 3 years ago

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Repository Details

Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA, GARCH, Markov Regime Switching), traditional stock prediction tools (Monte Carlo), sentiment analysis (NLP) as well as portfolio optimization, with purpose to provide a better understanding regarding possible future price movements of the analyzed stock and propose an optimal asset allocation.