Skip to content
#

volatility-forecasting

Here are 11 public repositories matching this topic...

The Analysis gives broad insight on Descriptive Analysis, Trend Analysis, Correlation Matrix, Covariance Matrix, Time Series Analysis, Volatility and Portfolio Optimization of stocks. With full insight given, Investors and Traders could determine the best stocks to invest in, the interpretation from the analysis clearly show stocks with high risk

  • Updated Sep 26, 2024
  • Jupyter Notebook

Black–Scholes powered Python framework for options trading — featuring volatility forecasting, market microstructure analysis, and backtesting tools for building and deploying advanced trading strategies.

  • Updated Aug 9, 2025
  • Python

🐙 Black-Scholes-Option-Trading: Python Black‑Scholes option pricing, implied volatility, Greeks, backtesting and strategy simulation for trading research

  • Updated Aug 19, 2025
  • Python

Improve this page

Add a description, image, and links to the volatility-forecasting topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the volatility-forecasting topic, visit your repo's landing page and select "manage topics."

Learn more