8000 GitHub - petz00711/fvc-open-data: Open, citable stock-valuation datasets from Fair Value Calculator (fairvalue-calculator.com): fair value, quality and market valuation for 35,000+ stocks worldwide. Updated regularly. CC BY 4.0. · GitHub
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Open, citable stock-valuation datasets from Fair Value Calculator (fairvalue-calculator.com): fair value, quality and market valuation for 35,000+ stocks worldwide. Updated regularly. CC BY 4.0.

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Fair Value Calculator - Open Data

Open, citable stock-valuation datasets from Fair Value Calculator, an independent research tool that estimates the fair value and quality of 40,000+ publicly listed stocks worldwide from multiple valuation models. Founder-run and online since 2016.

These files are refreshed regularly from the live analysis. Free to use under CC BY 4.0 with attribution.

Snapshot month: 2026-11 (as of 2026-11-01) · World market: 13.5% above fair value (Expensive)

Datasets

File What it is
data/market-valuation-summary.json How expensive the market is: percent above fair value, globally and by sector and country.
data/market-valuation-by-sector.csv Per-sector gap to fair value, most to least expensive.
data/market-valuation-by-country.csv Per-country gap to fair value.
data/undervalued-stocks.csv / .json Most undervalued stocks (upside, quality score, evidence, uptrend, the three buy rules of the strategy).
data/overvalued-stocks.csv / .json Most overvalued stocks, same fields.
data/value-traps.csv / .json Cheap-looking s 7CDA tocks flagged as likely value traps, same fields.

Fields of the stock lists

ticker, company, upside_pct (gap from price to our fair value in %, positive = undervalued), quality_score (0 to 100), price_local (price in the listing currency), evidence (low, medium, high), sector, country, url, currency (currency of price_local) and market_cap_usd_bn (market cap in billions of US dollars). ticker is the symbol at the stock's own exchange and is not unique worldwide (FLS is Flowserve in New York and FLSmidth in Copenhagen); url opens the listed company. country is the country of this listing, not always the company's home (NetEase in New York is us), and can be empty.

Uptrend and the three buy rules of the strategy, at the end of every row:

  • trend12: Uptrend: true if the price a month ago was higher than twelve months ago (21 against 252 trading days), false if not, null if unknown (less than a year of prices, or a split-sized jump in the window).
  • trend12_pct: Change from the price twelve months ago to the price a month ago, in percent; null if unknown.
  • trend_stufe: Trend arrow: auf (uptrend), seitwaerts (between -10% and 0%), ab (-10% or lower), null if unknown.
  • kaufregeln: The three buy rules of the strategy, each true, false or null: fv = fair value at least 30% above the price, qualitaet = Quality Score of 50 or more (measured as in the backtest, without the AI Quality points), trend = uptrend; alle = true only if all three are met, false as soon as one is not met, otherwise null. In the CSV as kaufregeln_fv, kaufregeln_qualitaet, kaufregeln_trend, kaufregeln_alle.

In the JSON files kaufregeln is an object with the keys fv, qualitaet, trend and alle. In the CSV files true and false are written as words, an empty cell means unknown.

Fields added 2026-10-29: trend12, trend12_pct, trend_stufe and kaufregeln (CSV: four kaufregeln_* columns), appended after the existing columns.

Correction 2026-11-02: in the snapshots up to 2026-11-02, url opened a different company with the same ticker in 3 of the 120 rows (FLSmidth opened Flowserve, Bharat Dynamics opened Flanigans, Capitec opened CPI Europe). From 2026-11-03 on, url opens the listed company.

Correction 2026-10-28: in the snapshots up to 2026-10-26, price_local held the market cap in billions of US dollars instead of the price (for example First Solar 18.5 instead of about 170). From 2026-10-28 on, price_local is the price and the market cap has its own column market_cap_usd_bn. Thanks to the reader who spotted it.

How the data is built

Fair value for each stock is estimated from 26 valuation models and 37 fundamental factors. The market figures are the cap-weighted gap between price and fair value; a positive percent_above_fair_value means the market (or sector/country) trades above its estimated fair value. Full method: https://www.fairvalue-calculator.com/methodology.

Live, always-current version of these numbers, with charts: https://www.fairvalue-calculator.com/stock-market-valuation-statistics

How to cite

Source: Fair Value Calculator, Stock Market Valuation Statistics (2026-11). https://www.fairvalue-calculator.com/stock-market-valuation-statistics

DOI (always resolves to the latest monthly release): https://doi.org/10.5281/zenodo.21639205

License

CC BY 4.0. You may share and adapt the data, including commercially, as long as you give appropriate credit. A link to https://www.fairvalue-calculator.com is appreciated.

Questions or data requests: office@fairvalue-calculator.com

Not financial advice, no buy or sell recommendation.

About

Open, citable stock-valuation datasets from Fair Value Calculator (fairvalue-calculator.com): fair value, quality and market valuation for 35,000+ stocks worldwide. Updated regularly. CC BY 4.0.

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