Create stockcomparison.py

stockcomparison.py

@@ -0,0 +1,37 @@
+import yfinance
+
+stocks = ['ARM', 'META', 'SPY', 'TSLA']
+
+data = yfinance.download(stocks,
+'2024-04-01',
+'2024-05-09')['Close']
+
+returns = data.pct_change()
+returns.head()
+
+returns = returns.dropna()
+returns.head()
+
+average_daily_returns = returns.mean()
+print(average_daily_returns)
+
+standard_deviation_daily_returns = returns.std()
+print(standard_deviation_daily_returns)
+
+import numpy
+weights = numpy.array([0.25, 0.25, 0.25, 0.25])
+
+covariance_matrix = (returns.cov())*250
+
+expected_portfolio_performace = numpy.sum(average_daily_returns * weights)
+print(expected_portfolio_performance)
+
+returns['Portfolio Returns'] = returns.dot(weights)
+returns.head()
+
+daily_cumulative_returns = (1+returns).cumprod()
+print(daily_cumulative_returns)
+
+daily_cumulative_returns.tail()
+
+