Master Python for Financial Analysis

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portfolio.py
data.csv
1import pandas as pd
2import numpy as np
3
4# Portfolio returns analysis
5prices = pd.read_csv("stocks.csv")
6returns = prices.pct_change().dropna()
7
8weights = np.array([0.4, 0.35, 0.25])
9portfolio = (returns @ weights).cumsum()
10portfolio.plot(title="Cumulative Returns")
▶ Output
40% 30% 20% 10% 0% Jan Apr Jul Oct Dec Portfolio S&P 500
Return +37.2%
Sharpe 1.84
Max DD -8.3%
Volatility 14.2%
Python
Pandas
NumPy
Plotly
Matplotlib
yfinance

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Learn the same Python stack used by quantitative analysts and data scientists at top financial institutions worldwide.