Errors in calculating drawdowns?

[BAMBAMGit]

Is it possible the max drawdown periods are giving the wrong dates as an output? For example see this:

Here I'm finding the max drawdown for the dot-com and great recession crashes for QQQ.

!pip install quantstats

# need to install arial font with matplotlib
import matplotlib.font_manager as fm
import matplotlib.pyplot as plt
# arial_path = '/content/drive/MyDrive/arial.ttf'
# fm.fontManager.addfont(arial_path)  # Register the Arial font with Matplotlib
# plt.rcParams['font.family'] = 'Arial'

import yfinance as yf
df = yf.download('QQQ', start='2000-01-01', end='2020-01-01')

import quantstats as qs
qs.extend_pandas()
returns = df.Close.pct_change()
qs.reports.full(returns, "QQQ")

OUTPUT:
_[Worst 5 Drawdowns]

Start Valley End Days Max Drawdown 99% Max Drawdown

1 2000-03-28 2002-10-09 2016-09-02 6003 -82.96 -80.06
2 2018-08-30 2018-12-24 2019-04-16 230 -23.16 -19.77
3 2019-05-06 2019-06-03 2019-07-02 58 -10.98 -8.98
4 2018-03-13 2018-04-02 2018-06-01 81 -10.67 -10.02
5 2000-01-24 2000-01-28 2000-02-02 10 -10.65 -7.27_

# start of drawdown period
start_draw_down = df[df.index == '2000-03-28']

# end of drawdown period
end_draw_down = df[df.index == '2016-09-02']

# double checking a date before end of drawdown period where close has already broken out of drawdown period
earlier_date_in_drawdown_period = df[df.index == '2016-08-30']


print(start_draw_down.Close)
print(end_draw_down.Close)
print(earlier_date_in_drawdown_period.Close)

OUTPUT:
Date
2000-03-28 114.75
Name: Close, dtype: float64
Date
2016-09-02 117.120003
Name: Close, dtype: float64
Date
2016-08-30 116.559998
Name: Close, dtype: float64

Note, the 2016-08-30 has already surpassed the close from the previous high water mark. Therefore the drawdown end date that quant stats is calculating appears erroneous.Thoughts? Maybe I'm missing something.

[RKMaynard]

We have also seen errors in the drawdown dates. However, this repo seems to no longer be maintained, so we are pushing our mods to quantstats-lumi. We will replicate this issue there for tracking.

[grzesir]

Check out https://github.com/Lumiwealth/quantstats_lumi, which is being updated regularly. We are a fork of this library that is being maintained by Lumiwealth