Created
June 19, 2022 16:51
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import pandas_datareader.data as web | |
import pandas as pd | |
import datetime as dt | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
sns.set() | |
def get_series(name, start, end): | |
df = web.DataReader('^GSPC', 'yahoo', start=start, end=end)['Adj Close'] | |
index = range(len(df.index)) | |
ath = df.values[0] | |
return pd.Series(df.values / ath, index=index, name=name) | |
fig, ax = plt.subplots(figsize=(16, 9)) | |
get_series(name="1929-1932", start='1929-09-16', end='1932-06-01').plot(ax=ax) | |
get_series(name="1968-1970", start='1968-11-28', end='1970-05-26').plot(ax=ax) | |
get_series(name="1973-1974", start='1973-02-13', end='1974-10-06').plot(ax=ax) | |
get_series(name="2000-2002", start='2000-03-24', end='2002-10-09').plot(ax=ax) | |
get_series(name="2007-2009", start='2007-10-09', end='2009-03-03').plot(ax=ax) | |
get_series(name="2022-?", start='2022-01-03', end='2022-06-18').plot(ax=ax, lw=2, color='#000000') | |
plt.title('SP500 Max Drawdown') | |
plt.xlabel('Trading Days') | |
plt.legend(); |
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