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Quant Finance Portfolio Optimization

Efficient Frontier

Maximum Return Portfolio (with σ ≤ S&P500)

Stock Weight % Market Cap Weight % Difference %
NVDA 24.81 16.79 8.03
TSLA 17.39 6.31 11.08
MSFT 13.81 15.68 -1.87
META 10.59 7.85 2.74
GOOG 10.45 11.93 -1.48
GOOGL 8.06 11.94 -3.88
AAPL 8.01 17.94 -9.93
AMZN 6.88 11.57 -4.69

Portfolio Metrics:

  • Expected Monthly Return: 3.41%
  • Standard Deviation: 4.80%
  • Sharpe Ratio: 0.293

Buy/Sell Signal using momentum

Bollinger Bands

Keltner Channels

A Python-based quantitative finance toolkit for portfolio optimization and analysis.

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Getting Started

Check the documentation to begin optimizing your investment portfolio using advanced quantitative methods.

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