Finbox alternative · open Bayesian model

Framler — Finbox alternative with regime context and prediction intervals

Finbox is a fundamental-analysis platform — clean tables, DCF tools, scoring models you can build yourself. Framler is a single Bayesian engine with regime conditioning and conformal prediction intervals already built in.

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Framler vs Finbox

One gives you the toolkit. The other ships the finished engine.

FeatureFramlerFinbox
Free, no credit cardYesLimited free + paid Premium
Out-of-box quant score0-100 composite, no setupBuild-your-own scoring
DCF intrinsic valueNo native DCFNative, comprehensive
Customizable templatesNo (single composer)Yes
Regime detectionBOCPD HMMNo
Prediction intervalsMondrian conformalNo
Factor stack disclosurePublic + invariantsYou build it
Universe size1,000+ curated~10,000 worldwide

What you get on Framler

Finished engine vs build-your-own

Finbox's strength is letting you build custom scoring models out of fundamental data. That's powerful but requires you to design the model, pick the weights, and validate it yourself. Framler ships one finished Bayesian engine — 13 factor families with regime-conditional weights and conformal prediction intervals — already calibrated and audited.

Regime context Finbox doesn't model

Framler conditions every factor weight on the BOCPD-detected market regime (risk-on / transition / risk-off). A momentum signal at z=2.0 means different things in a confirmed bull vs a transition phase. Finbox's scoring templates evaluate factors at fixed thresholds without regime conditioning.

Conformal prediction intervals

Every Framler score ships with a 90% Mondrian conformal prediction interval — finite-sample coverage guarantee per regime and sector bin. Finbox's scoring outputs are point estimates without an explicit uncertainty quantification.

Common questions

Should I use Finbox for DCF?

Yes — for DCF intrinsic value modelling and custom fundamental scoring templates, Finbox is excellent. Framler doesn't do native DCF; we focus on factors with published Information Coefficient evidence in academic literature (pure DCF historically has weaker forward-return IC than multi-factor composites).

Can I customize Framler's factor weights?

Not in the UI — the composite is one finished, calibrated engine. Power users can read every weight at /methodology + /coherence and replicate the math externally if they want a different mix.

Why a smaller universe?

Framler's pipeline reads SEC EDGAR, ClinicalTrials.gov, options chains, short-interest, and computes Bayesian regime posteriors per ticker. 1,000+ names respects API quotas; coverage grows monthly. Finbox's 10k+ universe relies on lighter per-ticker depth.

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How it works

Use Finbox to build, use Framler to ship

Look up any of 1,000+ tickers and get the 13-factor composite + regime + conformal interval + pattern flags. Free during early access.

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Free Finbox Alternative | Framler