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SPCX/NVDA Ratio

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Auto-generated. This article is rebuilt from app/signals/config/signal_definitions.json by scripts/build_signals_kb.py. Edit the registry entry and re-run the script β€” do not edit this file directly.

SPCX/NVDA Ratio

What it is

SPCX/NVDA Ratio β€” registry key spcx_nvda_ratio.

Pure data carrier β€” the AI-capital-cycle narrative-to-cash-flow spread (SPCX close Γ· NVDA close). SPCX’s price is ~90% narrative premium per its own IPO prospectus TAM attribution while NVDA’s is mostly earnings (P/E ~30); the ratio tracks how much the market is paying for AI story per unit of delivered AI earnings. Not banded, not scored, no health-score contribution β€” a state-description gauge per improvements/ai-capital-cycle.md Architecture decision 1 (this is the raw T1 registry entry; the synthesized cycle read is a separate future T3 lens).

Data-pyramid tier

T1 β€” Signal. This metric sits at the signal layer of the platform’s six-tier data pyramid (T0 raw inputs β†’ T5 actionable read). The tier reflects how far the value is from a raw measurement β€” not how strongly it is validated. Abstraction and validation are separate axes: a higher tier is not a claim of stronger evidence.

Horizon & validation

No validated skill horizon is on file for this metric β€” read it as context / a data carrier, not a validated edge. Stamps are added only when a gated research verdict lands.

Source

Source module: computed
Data source: back_fillable

Fetched directly from app/sources/computed.py; see source code for the upstream API call and any provider-specific handling.

How it’s computed

SPCX close Γ· NVDA close, from daily universe price bars β€” both read from the SAME most-recent trade_date in universe_price_daily. Computed at capture time (app/signals/spcx_nvda_ratio.py:compute_spcx_nvda_ratio, wired in capture.py:_resolve_spcx_nvda_ratio). ABSTAINS (NULL) when either close is missing/non-positive or the two bars are not from the same trade_date β€” never a mixed-date ratio. Founding sanity check: 150.82 / 196.74 β‰ˆ 0.767 (2026-07-07). research/ai-capital-cycle/spacex-and-signal-companies.md Β§1.

Where it surfaces

Health-score / alignment role

Data carrier β€” no implication, no health-score contribution.

Persisted for downstream consumers (sparklines, base-rate matcher, calibration substrate) but does not classify into BULLISH / NEUTRAL / BEARISH and does not contribute to the 0-100 health score.

Release cadence

Derived from the daily universe OHLCV sweep (screener post-close profile) β€” as fresh as the latest same-trade-date SPCX + NVDA closes in universe_price_daily.

See also