import yfinance as yf
import pyfolio as pf
import pandas as pd
df = pd.read_csv(
r'D:/trading_algorithms_project/strategy_analysis/stock_data/downloaded_data/nifty_bank_15minute.CSV', index_col='Date')
df = pd.DataFrame(df)
#---------------------- Stock data Returns ---------------------#
#df.index = df.index.tz_localize('utc')
df['pct'] = df['Close'].pct_change()
returns = df['pct']
pf.create_returns_tear_sheet(returns, benchmark_rets = None)
Traceback (most recent call last):
File "d:\trading_algorithms_project\strategy_analysis\stock_strategies\Test\pyfolio_test.py", line 17, in <module>
pf.create_returns_tear_sheet(returns, benchmark_rets = None)
File "C:\Users\shiri\anaconda3\lib\site-packages\pyfolio\plotting.py", line 52, in call_w_context
return func(*args, **kwargs)
File "C:\Users\shiri\anaconda3\lib\site-packages\pyfolio\tears.py", line 496, in create_returns_tear_sheet
plotting.show_perf_stats(returns, benchmark_rets,
File "C:\Users\shiri\anaconda3\lib\site-packages\pyfolio\plotting.py", line 595, in show_perf_stats
date_rows['Start date'] = returns.index[0].strftime('%Y-%m-%d')
AttributeError: 'str' object has no attribute 'strftime'
Date
2017-01-02T09:15:00+0530 NaN
2017-01-02T09:30:00+0530 -0.000130
2017-01-02T09:45:00+0530 -0.001618
2017-01-02T10:00:00+0530 -0.000166
2017-01-02T10:15:00+0530 -0.000161
...
2022-09-26T10:00:00+0530 -0.000065
2022-09-26T10:15:00+0530 -0.002258
2022-09-26T10:30:00+0530 0.001142
2022-09-26T10:45:00+0530 -0.002769
2022-09-26T11:00:00+0530 -0.000638
Name: pct, Length: 35384, dtype: float64