Minimum track record length diagnostic
Source:R/validation-min-track-record.R
ledgr_min_track_record.Rdledgr_min_track_record() computes the minimum track record length
(MinTRL) diagnostic over a return panel. It is an evidence surface only: it
does not select, promote, filter, or change walk-forward identity.
Usage
ledgr_min_track_record(
x,
candidates = NULL,
reference_sharpe = 0,
confidence = 0.95,
risk_free_return = 0
)Arguments
- x
A
ledgr_return_panelobject or aledgr_sweep_resultsobject with retained completed returns.- candidates
Optional character vector of candidate ids to include.
- reference_sharpe
Numeric scalar reference Sharpe ratio in the same per-period units as the retained return series. The default asks whether the observed Sharpe is significantly above zero.
- confidence
Numeric scalar confidence level in
(0, 1).- risk_free_return
Numeric scalar per-period risk-free return to subtract before computing Sharpe. The default is zero.
Value
A ledgr_min_track_record object with summary and
metadata. Use as_tibble(x) for programmatic access.
See also
vignette("selection-integrity", package = "ledgr") or
system.file("doc", "selection-integrity.html", package = "ledgr").
Examples
if (FALSE) { # \dontrun{
min_trl <- ledgr_min_track_record(sweep, reference_sharpe = 0)
as_tibble(min_trl)
} # }