Created
September 16, 2020 11:50
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Pandas sharpe ratio calculation for Apple Inc
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# compute sharpe ratio using Pandas rolling and std methods, the trading days is set to 252 days | |
TRADING_DAYS = 252 | |
returns = np.log(df['Close']/df['Close'].shift(1)) | |
returns.fillna(0, inplace=True) | |
volatility = returns.rolling(window=TRADING_DAYS).std()*np.sqrt(TRADING_DAYS) | |
sharpe_ratio = returns.mean()/volatility | |
sharpe_ratio.tail() | |
fig = plt.figure(figsize=(15, 7)) | |
ax3 = fig.add_subplot(1, 1, 1) | |
sharpe_ratio.plot(ax=ax3) | |
ax3.set_xlabel('Date') | |
ax3.set_ylabel('Sharpe ratio') | |
ax3.set_title('Sharpe ratio with the annualized volatility for Apple Inc') | |
plt.show() |
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