io.github.beepboop2025/noisefloor

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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Reviewed 1d ago.

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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.