ソラナはいま買いなのか？Pythonで分析した結果

from pandas_datareader import data
import pandas as pd
from pylab import mpl, plt
import numpy as np
import datetime
plt.style.use('seaborn')
mpl.rcParams['font.family'] = 'serif'
%matplotlib inline

start = '2020-01-01'
end = datetime.date.today()

sol_df = data.DataReader('SOL1-USD', 'yahoo', start, end) #SOL
sol_open = sol_df['Open']
sol_close = sol_df['Close']
sol_high = sol_df['High']
sol_low = sol_df['Low']

eth_df = data.DataReader('ETH-USD', 'yahoo', start, end) #ETH
eth_open = eth_df['Open']
eth_close = eth_df['Close']
eth_high = eth_df['High']
eth_low = eth_df['Low']

ratio_df = pd.DataFrame()
ratio_df['Open'] = sol_open / eth_open 
ratio_df['High'] = sol_high / eth_high  
ratio_df['Low'] = sol_low / eth_low 
ratio_df['Close'] = sol_close / eth_close 
ratio_df.dropna(inplace=True)

import cufflinks as cf
import plotly.offline as plyo
plyo.init_notebook_mode(connected=True)

qf = cf.QuantFig(
    ratio_df,
    title='SOL to ETH ratio',
    legend='top',
    name='SOL/ETH'
)

plyo.iplot(
    qf.iplot(asFigure=True),
    image='png',
    filename='SOLETH'
)

ratio_df['SMA1'] = ratio_df['Close'].rolling(window=50).mean()
ratio_df['SMA2'] = ratio_df['Close'].rolling(window=200).mean()

ratio_date = ratio_df.index[-1500:]
ratio_close = ratio_df['Close'][-1500:]
ratio_sma1 = ratio_df['SMA1'][-1500:]
ratio_sma2 = ratio_df['SMA2'][-1500:]

plt.figure(figsize=(20, 10))
plt.plot(ratio_date, ratio_close, lw=2, label = 'Close', color='g')
plt.plot(ratio_date, ratio_sma1, lw=2, label = 'SMA50', color='b')
plt.plot(ratio_date, ratio_sma2, lw=2, label = 'SMA200', color='r')
plt.legend(loc=0, fontsize=18)
plt.xlabel('year', fontsize=18)
plt.ylabel('ratio', fontsize=18)
plt.tick_params(labelsize=18)
plt.savefig("soleth_ratio.png")