Simply Wall St alternative · academic depth
Simply Wall St's Snowflake reduces a stock to six binary checks — pretty, but lossy. Framler is a Bayesian 13-factor engine that produces a 0-100 score with regime conditioning and Mondrian conformal prediction intervals. Visualisation is fine; precision is better.
One simplifies for the consumer. The other models for the analyst.
Simply Wall St's Snowflake collapses each of 5 areas into 6 binary "does this pass?" checks — 30 yes/no answers total. Framler produces a continuous 0-100 composite from 13 factor families, each weighted by its empirical Information Coefficient. A 65 vs a 75 means something different. A passed check vs a failed check loses gradients.
A "growth" factor passes at different thresholds in different regimes. Framler's factor weights shift with the BOCPD-detected market regime: momentum down-weights in risk-off, quality up-weights, value gets sector-dependent treatment. Snowflake checks don't adapt to regime.
Every Framler score ships with a 90% prediction interval. Simply Wall St's Snowflake has no error bar — two stocks can both have a 4-of-6 valuation snowflake but very different signal quality. Framler quantifies that ambiguity per ticker per regime.
For onboarding retail investors, yes — it's an excellent quick-scan UI. For decision-making at the margin (which 4-snowflake stock is actually better?), the binary collapse loses information that a continuous score retains.
Not natively. We link to StockAnalysis.com or Simply Wall St for DCF tables and focus our compute budget on factors that have published Information Coefficient evidence in academic literature. Pure DCF historically has weak forward-return IC; multi-factor composites have stronger.
Framler reads SEC EDGAR filings, ClinicalTrials.gov, options chains, and short-interest data for every ticker. 1,000+ names is the quota-respecting limit. Simply Wall St's 70k+ universe relies on lighter per-ticker depth.
Look up any of 1,000+ tickers, get the 13-factor composite + regime + conformal interval + pattern flags. Free during early access.