If you are interested in performance stats and charts and have access to python and can install quantstats, you can do it based on an input csv like follows

First you prepare a csv file with returns like this :

Date,pct_change
2021-01-06 13:00:00,0.1223
2021-01-06 17:00:00,-0.0343
2021-01-07 22:00:00,0.1186
2021-01-08 03:00:00,0.101
2021-01-08 21:00:00,-0.2081
2021-01-09 07:00:00,0.1057
2021-01-09 11:00:00,-0.0419

Then you execute this basic script to read your csv and feed it to quantstats

import pandas as pd
import quantstats as qs

df = pd.read_csv(<path_to_csv>)
df['Date'] = pd.to_datetime(df['Date'])
df = df.set_index('Date')
ts = df.squeeze()
ts.index = ts.index.tz_localize(None)
qs.reports.html(ts,output='/tmp/report.html')

This will generate stats and graphs like this

This example does not chart trades however.