MODEL RESEARCH / REASONED ALPHA
Preserve valuation logic, calculations, iterations and evaluation by stock. Shared methods have a separate general-model category, so a quote can be traced to its rules and historical evidence.
GOOGL / MODEL RESEARCH
Study earnings growth in Search and Cloud, growth persistence and valuation multiples; compare model generations under consistent rules.
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Current model NTM CoreEPS 12.9502 × independently estimated operating P/E 24.5946. Inputs dated 2026-10-06; today’s stock quote is excluded. G16 future forecasts performed worse, so G05 remains the 6M/12M reference.
Read independent-P/E methods and failed replacement testsThe primary G05 quote uses the October 6, 2026 closing input and market snapshot. 0M is the closing-market anchor, not independent fair value; 6M and 12M are this version’s research forecasts. This publication does not refresh inputs or rewrite prior forecasts.
| Horizon | G05 research price · USD/share | Target date |
|---|---|---|
| 6M | $368.45 | 2027-04-06 |
| 12M | $464.42 | 2027-10-06 |
G15 is shown separately as a conditional valuation trial dated June 30, 2026. Historical document-EPS vintages and the complete quarterly SOTP formula remain unresolved. Its ten-year quarter-end trial is not pooled with the five-year post-earnings test and has not replaced G05.
Google equity research and quotes · G05 calculation method · G15 conditional research
NVDA / MODEL RESEARCH
Preserve operating forecasts, EPS and multiples, forecast horizons, cash flows and short-term trends; keep H09 price research separate from H13 independent cash-flow values.
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AMZN / MODEL RESEARCH
Study AWS and retail revenue, operating costs, capital investment and earnings conversion; retain A02 methods, three-year price evaluation and successor candidates.
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MSFT / MODEL RESEARCH
Study how cloud and software revenue feeds Core EPS and conditional prices at a held same-basis P/E. Preserve M00 methods, M01–M03 iterations, ten-year post-earnings quarterly tests and three-year analyst comparisons.
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AVGO / MODEL RESEARCH
Study AI semiconductors and infrastructure software, acquisition adjustments and debt; preserve model-family adapters and historical snapshots.
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HOOD / MODEL RESEARCH
Study revenue growth, dilution and historical equity P/S in the 0M relative value and conditional 6M/12M targets; preserve quarterly evaluation since listing and rejected candidates.
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GENERAL MODELS / SHARED METHODS
This category collects reusable calculation specifications, entry and option methods, and data/version evaluation processes. General means a method can support research across stocks; it does not mean it has been calibrated or shown predictive advantages for every stock.
Read the purpose and valuation role of general models
Study demand, delivery, product cycles, margins and growth persistence.
A shared calculation specification for NVDA and AVGO; each company keeps separate earnings paths, accounting bridges and multiples.
Study revenue, operating profit, capital intensity and cash conversion in advertising, subscriptions, cloud and retail.
A segment-to-group earnings bridge for GOOGL, MSFT and AMZN; shared methods do not imply shared parameters.
Study how valuation distance, quality, trends and execution confirmation form testable entry rules.
Uses equity valuation and risk information to define entry conditions; it does not calculate company fair value.
Study premiums, assignment risk, volatility and position structure for covered and diagonal calls.
Uses valuation and the holding thesis as context, then examines option income and risk; option premiums are not equity valuation.
Organize the relationship between data, operating earnings, multiples, horizons, entry and income management.
Explains the role and boundaries of each module; preserves the stock examples and version states of that dated record.
Record data provenance, mature samples, adoption gates, errors, failed candidates and stopping rules.
Helps evaluate stock models; retrospective reconstruction, analyst comparison and independent prospective validation remain distinct.