pouyaardehkhani/FinancialAnalysis
This notebook provides some skills to perform financial analysis on economical data.
This project helps individual investors and financial analysts understand and optimize investment portfolios. It takes raw stock data and economic figures to calculate key financial metrics like daily returns, risk (standard deviation), and Sharpe Ratios. The output provides insights into portfolio performance, asset allocation, and risk management strategies.
No commits in the last 6 months.
Use this if you want to analyze historical stock data, understand investment risks, optimize your portfolio for better returns, or apply fundamental financial models like CAPM.
Not ideal if you need real-time trading signals or highly sophisticated algorithmic trading strategies beyond traditional portfolio optimization.
Stars
32
Forks
12
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Feb 26, 2022
Commits (30d)
0
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