EURUSD 4795 box-bars
GBPUSD 4502 box-bars
USDJPY 5308 box-bars
AUDUSD 6864 box-bars
USDCAD 5617 box-bars
XAUUSD 2127 box-bars
XAGUSD 2603 box-bars
SP500 1298 box-bars
UK100 1816 box-bars

R units = ATR multiples net of cost (TP 2 / SL 1.5 / 48 bars).  trades thinned to >=48h apart per symbol.
setup          n   meanR     t  ctl meanR  ctl n   lift  pos yrs
Traceback (most recent call last):
  File "pandas/_libs/tslibs/timestamps.pyx", line 644, in pandas._libs.tslibs.timestamps._Timestamp.__sub__
  File "pandas/_libs/tslibs/timedeltas.pyx", line 1969, in pandas._libs.tslibs.timedeltas._Timedelta._from_value_and_reso
OverflowError: int too big to convert

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\admin\Documents\Workspaces\Warrior_EA\research\wyckoff_scan.py", line 164, in <module>
    main()
    ~~~~^^
  File "C:\Users\admin\Documents\Workspaces\Warrior_EA\research\wyckoff_scan.py", line 149, in main
    tr = pd.concat([thin(g) for _, g in L[m].groupby("sym")]) if m.sum() else L[m]
                    ~~~~^^^
  File "C:\Users\admin\Documents\Workspaces\Warrior_EA\research\wyckoff_scan.py", line 126, in thin
    if (r.t - last) >= pd.Timedelta(hours=gap):
        ~~~~^~~~~~
  File "pandas/_libs/tslibs/timestamps.pyx", line 647, in pandas._libs.tslibs.timestamps._Timestamp.__sub__
pandas.errors.OutOfBoundsDatetime: Result is too large for pandas.Timedelta. Convert inputs to datetime.datetime with 'Timestamp.to_pydatetime()' before subtracting.