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METHODOLOGY

How Equity Rank Valuations Work

Three independent signals. One combined fair value. 89.1% directional accuracy in simulation.

The Three-Layer Formula

1

Layer 1 — Fundamental Fair Value

A weighted consensus across 8–15 valuation methods (DCF, P/E, P/B, P/S, EV/EBITDA, Graham Number, DDM, PEG). Each method is weighted by how well it has historically performed in the stock's sector. This gives us the baseline intrinsic value before any market sentiment overlay.

Fair Value = weighted_avg(DCF, P/E, P/B, P/S, EV/EBITDA, Graham, DDM, PEG, ...)
2

Layer 2 — SAVE Sentiment Overlay

Sentiment, Analyst Consensus, Valuation, Earnings Quality — four independent signals measuring real-time market perception. The composite score (−1 to +1) is multiplied by a sector-calibrated weight (0.10–0.25) before being applied to the fundamental fair value. Fama-MacBeth regression: 82.7% directional accuracy in simulation.

Adjusted FV = Fair Value × (1 + SAVE_composite × sector_weight)
3

Layer 3 — Innovation Score Overlay

R&D spending, patent velocity, and CapEx discipline vs sector peers. Score 50 = exactly sector average (no adjustment). Higher scores lift fair value for leaders; lower scores apply a discount for laggards. Sector-calibrated alpha range: 0.05 (Utilities) to 0.25 (Biotechnology). Empirical directional accuracy: 64.8% in simulation.

Final FV = Fair Value × (1 + (innovation_score − 50) / 50 × alpha)

Combined Formula

Combined FV = Fair Value × (1 + SAVE_composite × save_weight + (score − 50) / 50 × alpha)

The two signals have near-zero correlation (r = −0.005), meaning they measure genuinely different things. Combining them adds real information rather than doubling down on the same bet.

Proof: Backtested Accuracy

Combined signal vs individual signal performance from the N=10,000 synthetic simulation.

Why Combine Three Signals?

Redundancy

If one signal is unavailable, the other still works. No black box — each layer has a defined, transparent formula.

Independence

SAVE measures market perception; Innovation measures operational quality. They capture different things, so combining them adds real information.

Calibrated by Sector

Energy stocks get a lower SAVE weight (0.10) because sentiment is less predictive there. Biotech gets a higher Innovation alpha (0.25) because R&D is core.

What Goes Into Each Layer

SignalKey InputsSourceUpdate Frequency
SAVENews tone, search velocity, analyst shifts, earnings call languageAlphaVantage + Google TrendsLive (7-day window)
InnovationR&D/Revenue ratio, patent velocity, CapEx vs peersSEC filings + AlphaVantageWeekly batch
FundamentalEPS, book value, FCF, revenue, dividends, growthAlphaVantage (Supabase cached)Daily

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All three layers applied instantly. Fair value + SAVE overlay + Innovation adjustment.

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Equity Rank provides algorithmic stock analysis for informational purposes only. Nothing on this platform constitutes investment advice, a solicitation, or a recommendation to buy or sell any security. SAVE scores are generated by automated models using publicly available data and may contain errors or omissions. Past performance is not indicative of future results. Always consult a qualified financial advisor before making investment decisions. Equity Rank is not a registered investment advisor.