This Jupyter Notebook analyzes NVIDIA (NVDA) stock data to compute risk metrics like Value at Risk (VaR), Expected Shortfall (ES), Sharpe Ratio, Sortino Ratio, Maximum Drawdown, and Beta. It includes visualizations of daily returns and metrics to assess the stock’s risk and performance.

Here you can find jupyter notebooks to visualiza data related to financial markets, such as equity returns, volatilities, payoffs, etc

Tutorials for SimFin - Simple financial data for Python

Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects

This repository features notebooks and datasets for predicting Tesla (TSLA) stock prices using LSTM models. Explore historical data, forecast trends, and gain insights into TSLA's market movements.

Notebooks documenting different endpoints and parsing methods for SEC data

2022년 1학기 금융시장빅데이터분석 강의자료 및 jupyter notebook 실습 파일

Explore OpenBB SDK without having to install anything on your local machine. You just need a GitHub and a GitPod account.

This repository contains an algorithmic trading project whose aim is to detect automatically divergences between a given asset, an a given momentum indicator. The algorithm is still to improve, and its efficiency and robustness to be tested (See the Notebook file in the Trading_project folder).

Jupyter notebook for the Kaggle task "Company Bankruptcy Prediction" - all relevant info and code are contained in the notebook

notebooks created on pluto

Used SQL in Jupyter Notebooks to analyze and explore data on international debts and codes.

This is a financial time series lab in Jupyter notebook. You may treat it as a live cheat sheet.

A collection of IPython notebooks for scraping and cleaning publically available U.S. government data