The Nasdaq 100 and Nifty 100, each scored 0–10 on every investing model and combined into one weighted score. Stocks on file: — · average combined score: —. Most are an automatic quant screen; judgement calls are added in deeper reviews.
Education and information only — not investment advice or a recommendation. Scores are a study framework, not a buy or sell call. Data may be delayed or wrong. Full disclaimer
The 25 highest combined scores within the filters, out of 10. Click a bar to open its scorecard.
Click a row for the full scorecard; click a heading to sort. Tom Nash is a hard filter: one failed gate is a no-go whatever the combined score says, and “unverified” means too few gates could be tested (usually banks and insurers). Model columns hide on narrow screens.
How many stocks sit in each group and their average combined score.
| Grouped by | Group | Stocks | Avg combined |
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Every stock's combined score, in half-point steps, split by where it is listed. Hover or tap a bar for the count.
Return on equity against forward P/E (log scale). Top-left is high quality at a lower multiple. Dot size is market cap; darker green is a higher combined score. Dashed lines mark Buffett's 15% ROE test and Tom Nash's P/E 15 and 25 gates. Click a dot to open its scorecard.
Average score on each model, by sector, out of 10. Sectors are sorted by average combined score; the number after each name is how many stocks it holds.
Average score on each model for Indian and US stocks. The gap between the dots shows where the two markets differ.
Depth: —. A quant screen has no thesis yet and leaves judgement tests unverified.
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From Yahoo Finance on the price date: trailing figures and the last four annual reports.
Out of 10. A model with fewer than half its tests verified isn't scored and doesn't count toward the combined score.
Figures were looked up on the evaluation date; prices move, so figures may be out of date.
Lynch and Buffett anchor the set; Tom Nash adds a five-gate go/no-go filter. The rest cover angles those three miss: Graham for statistical cheapness, Greenblatt for return on capital against price, Piotroski for whether the books are getting stronger, Fisher for long-runway growth, CAN SLIM and Technical for timing.
Education only. This is a scoring framework, not investment advice. Automatic data can be wrong; check a key number at its source.
Data: Yahoo Finance via an automatic quant screen, as of 7 Nov 2026 (Crocs and SK Hynix added 7 Nov). Scores are a framework, not investment advice.