HKUDS/Vibe-Trading · error · ValueError
significance must be in (0, 1), got {significance}
Error message
significance must be in (0, 1), got {significance} What it means
kupiec_pof requires the test significance level strictly in (0, 1); 0, 1 or out-of-range values raise ValueError. Significance (e.g. 0.05) selects the chi-square critical value for rejecting the coverage null, and the boundaries make the test meaningless.
Source
Thrown at agent/src/quantlib/var_backtest.py:370
Returns:
A :class:`KupiecResult`.
Raises:
ValueError: If ``observations`` is not positive, if ``violations`` is
negative or exceeds ``observations``, or if either probability is
not strictly between 0 and 1.
"""
if observations <= 0:
raise ValueError(f"observations must be > 0, got {observations}")
if not 0 <= violations <= observations:
raise ValueError(
f"violations must be in [0, {observations}], got {violations}"
)
if not 0.0 < confidence < 1.0:
raise ValueError(f"confidence must be in (0, 1), got {confidence}")
if not 0.0 < significance < 1.0:
raise ValueError(f"significance must be in (0, 1), got {significance}")
expected_rate = 1.0 - confidence
observed_rate = violations / observations
calm = observations - violations
restricted = xlogy(calm, 1.0 - expected_rate) + xlogy(violations, expected_rate)
unrestricted = xlogy(calm, 1.0 - observed_rate) + xlogy(violations, observed_rate)
statistic = float(max(-2.0 * (restricted - unrestricted), 0.0))
p_value = float(chi2.sf(statistic, df=1))
return KupiecResult(
observations=observations,
violations=violations,
expected_violations=observations * expected_rate,
violation_rate=observed_rate,
expected_rate=expected_rate,
statistic=statistic,
p_value=p_value,View on GitHub (pinned to 80ffdda44c)
Solutions
- Use a fraction: 5% -> 0.05.
- Verify you have not swapped the confidence and significance positional/keyword args.
- Range-check user-supplied alpha before the call.
Example fix
# before kupiec_pof(n, v, confidence=0.99, significance=5) # after kupiec_pof(n, v, confidence=0.99, significance=0.05)
Defensive patterns
Strategy: validation
Validate before calling
assert 0.0 < significance < 1.0
Type guard
def valid_alpha(a) -> bool:
return isinstance(a, (int, float)) and 0.0 < a < 1.0 Try / catch
except ValueError as e:
if 'significance must be in (0, 1)' in str(e): significance /= 100.0; retry Prevention
- Keep alpha as a fraction (0.05), not 5
- Validate user-facing test parameters in config schemas
When it happens
Trigger: Passing significance=5 (percent instead of fraction), significance=0, or significance=1; also swapping significance with confidence so both end up wrong.
Common situations: Percent-vs-fraction confusion in config files; hardcoded alphas copied from documentation quoting '5%'; argument-order mixups.
Related errors
- violations must be in [0, {observations}], got {violations}
- confidence must be in (0, 1), got {confidence}
- observations must be > 0, got {observations}
- wacc: tax_rate must be within [0, 1], got {tax_rate!r}
- fcff_bridge: tax_rate must be within [0, 1], got {tax_rate!r
AI-assisted analysis of HKUDS/Vibe-Trading@80ffdda44c (2026-08-28).
Data as JSON: /api/errors/8dd04954258b8bd6.
Report an issue: GitHub.