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osabnis1776 / NVDA-Stock-Analysis

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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.

finance risk-analysis numpy pandas python3 seaborn nvidia stock-market data-analysis feature-engineering financial-data nvda bsd-2-license
  • Updated Aug 4, 2024
  • Jupyter Notebook

osabnis1776 / Syracuse-Housing-Database

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A comprehensive analysis of housing data in the Syracuse area using T-SQL and Azure Data Studio. This project includes SQL scripts for database creation, data insertion, and clean-up, along with detailed views and user-defined functions for data retrieval and analysis. Licensed under the BSD 2-Clause License.

views database-management user-defined-functions t-sql bsd-2-license housing-data azure-data-studio sql-scripts
  • Updated Aug 4, 2024
  • TSQL

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