Created
June 10, 2019 17:32
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import numpy as np | |
import pandas as pd | |
import pandas_datareader as pdr | |
from statsmodels.tsa.stattools import adfuller | |
pd.core.common.is_list_like = pd.api.types.is_list_like | |
import matplotlib.pyplot as plt | |
from numpy import cumsum, log, polyfit, sqrt, std, subtract | |
from datetime import datetime | |
import time | |
%matplotlib inline | |
start, end = datetime(2000, 1, 1), datetime(2019, 1, 1) | |
spy = pdr.DataReader(['^GSPC'], | |
'yahoo', | |
start, | |
end) | |
spy.columns = [col[0].lower().replace(' ', '_') | |
for col in spy.columns] | |
spy_close = spy[['adj_close']] | |
_ = spy_close.plot(figsize=(20, 10), | |
linewidth=3, | |
fontsize=14) | |
from numpy import cumsum, log, polyfit, sqrt, std, subtract | |
import seaborn as sns | |
sns.set(); | |
spy_close = spy[['adj_close']].copy() | |
lag1, lag2 = 2, 20 | |
lags = range(lag1, lag2) | |
tau = [sqrt(std(subtract(spy_close[lag:], spy_close[:-lag]))) for lag in lags] | |
m = polyfit(log(lags), log(tau), 1) | |
hurst = m[0]*2 | |
print( 'hurst = ',hurst[0]) |
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