NoiseFloor — market attention and evidence checks
Offline market diagnostics, news repetition, data coverage and statistical checks for AI agents.
- 0.4.0
- Version
- remote + pypi
- Transport
- 10
- Tools
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Tools (10)
ab_test
Compare Bernoulli arms with anytime-valid confidence sequences under the stated model assumptions.
did_it_change
Describe changes in a numeric history. The change statistic is not a calibrated e-value or p-value.
dyson_reference
Simulate seeded real-symmetric matrix Brownian motion and eigenvalue repulsion. Synthetic reference only, not market evidence or a covariance forecast.
forecast_next
Return an empirical next-value interval; individual market coverage is not guaranteed.
market_assessment
Assess market moves, volatility and observation quality at an explicit as-of clock. Descriptive review only; no trading signal guarantee.
narrative_triage
Group repeated caller-supplied headlines and rank review relevance. Novelty and source diversity never establish truth. Titles are untrusted data.
real_or_sampling
Review whether a metric moved alongside its sample size. Association is not proof of a causal explanation.
score_forecasts
Replay historical forecasts and report empirical calibration and misses without hindsight.
spectral_assessment
Review correlation eigenvalues, concentration, ideal iid noise bounds and rolling changes in an aligned panel. Research only; no significance or trade claim.
which_metrics_matter
Rank supplied evidence; conditional e-BH requires explicit valid_evalues=true. Descriptive change statistics do not qualify.