Python for Finance 22.2 code repo

Question

Hello! can you help me please to calculate the annual volatility of Bitcoin and output the risk % and calculate and output the Sharpe ratio.
Thhis is my code :

import yfinance as yf
data = yf.Ticker("BTC-USD")
print(data.info['description'])
print(data.history(period='5d') ['Close'])
import matplotlib.pyplot as plt
price = data.history(period='2y')
x = price['Close'].pct_change()
returns = (x + 1).cumprod()
returns.plot()
plt.savefig('plot.PNG')

import numpy as np
data = yf.download("BTC-USD", start='2020-01-01')
x = data['Close'].pct_change()
annual_std= np.std(x)*np.sqrt(252)
print(annual_std)
sharpe= (np.mean(x)/np.std(x))*np.sqrt(252)
print(sharpe)

Answer 1

import numpy as np
import numpy_financial as npf
import matplotlib.pyplot as plt
import yfinance as yf

#price for 2018-2021
bitcoin = [3869.47, 7188.46, 22203.31, 29391.78]
res = np.std(bitcoin)
#print(res)
arr=[-500,10,10,10,10,10,10,10,10,10,10,10,10]
r=npf.irr(arr)
#print(r)
data = yf.Ticker('BTC-USD')

x = data.history('1y')['Close']

x.plot()
plt.savefig('plot.png')