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🔎 Data Sources
Here is a breakdown of the public references and data types used per game. Actual market prices may differ; for any investment decision, check the original source directly.
Sources listed here are for reference only. PriceGuess is not affiliated with any of them. Individual puzzles show a source link alongside the answer where available.
📡 External data dependency
PriceGuess references public sources such as Kitco, CoinGecko, Yahoo Finance, KB Real Estate, the Bank of Korea / ECB / BOJ, and the EIA. If any provider changes policy, rate-limits, or restates data, the displayed values may change or certain items may become unavailable. When that happens, we retire affected puzzles or replace them in a later update.
Intended use: PriceGuess is an educational, entertainment-only game for training price intuition. It must not be used for real trading, asset allocation, financial planning, tax, or accounting decisions. For real investment choices, rely on regulated brokers, official filings, and qualified professionals.
Historical prices
- Data nature
- Historical price snapshots. The 'current' answer is a snapshot captured at publishing time, not a live market quote.
- Currency
- Listed per puzzle. USD for gold/silver/stocks/crypto/commodities, KRW for Korean real estate, etc.
- Period
- Reference date shown per puzzle. 'Current price' was captured at build time.
- Lag
- Not real-time; may differ from current market prices.
- Possible errors
- Collection, rounding, or entry errors of roughly ±1–5% are possible and are corrected when confirmed.
- Not investment advice
- Prices shown are not transaction quotes and must not be read as investment advice or buy/sell recommendations.
References
- •Kitco (gold/silver)
- •CoinGecko (Bitcoin, Ethereum)
- •Yahoo Finance (U.S. stocks, split-adjusted closes)
- •KB Real Estate, JLL Korea, Zillow (real estate)
- •Bank of Korea, ECB, BOE, BOJ (FX)
- •EIA, ICE, CBOT, LME, Benchmark Minerals, Nikkei, World Gold Council (commodities/indices)
Sample / representative dataHistorical prices
- Data nature
- Representative figures for comparing market caps, salaries, and asset prices. No per-item source field in the data.
- Currency
- Mix of USD, KRW, and local currencies depending on the comparison group.
- Period
- Fixed-date snapshot, not continuously updated.
- Lag
- Market caps, salaries, and property prices move quickly; values may differ from current ones.
- Possible errors
- Representative-value selection and rounding may introduce significant deviations.
- Not investment advice
- A quiz for comparing price intuition — does not support real investment decisions.
References
- •No per-item source field — representative figures based on publicly available market/job information.
Sample / representative dataHistorical prices
- Data nature
- Uses the same representative-value pool as Higher or Lower in a time-pressured UI.
- Currency
- Mix of USD and KRW depending on the group.
- Period
- Same snapshot, not live.
- Lag
- Not real-time.
- Possible errors
- Representative-value deviations possible.
- Not investment advice
- Educational/entertainment only — not investment advice.
References
- •Same reference pool as Higher or Lower.
Sample / representative dataHistorical prices
- Data nature
- Demo charts simplified from publicly reported historical price paths for education.
- Currency
- Relative movement only — no absolute currency labels.
- Period
- Underlying real-period varies per ticker; specific dates are not labeled on the chart.
- Lag
- Not real-time. Some segments are abbreviated or simplified.
- Possible errors
- Educational simplification may diverge from real data.
- Not investment advice
- Charts are for learning only and cannot be used for real security analysis or trading decisions.
References
- •No per-item source field — demo data inspired by publicly reported historical price paths.
Sample / representative data
- Data nature
- Representative examples modeled on public salary surveys and listings. Not actual individual pay.
- Currency
- Country's local currency (KRW, USD, JPY, GBP, EUR, CHF, …).
- Period
- Roughly 'recent years' — a specific publication date is not asserted.
- Lag
- Actual pay varies widely by rank, tenure, region, and bonus structure.
- Possible errors
- Representative values may diverge from the real distribution.
- Not investment advice
- Not a direct reference for personal compensation negotiation.
References
- •No per-item source field — representative figures informed by public surveys (JobPlanet, Levels.fyi, etc.).
Sample / representative data
- Data nature
- Sample listings modeled on publicly visible prices. Not actual transactions; cannot be used as a basis for purchase or rental.
- Currency
- Local currency of each property (KRW, USD, JPY, GBP, EUR, …).
- Period
- Roughly recent-years reference.
- Lag
- Real transactions fluctuate with regulation, taxes, and property condition.
- Possible errors
- Being samples, these may diverge significantly from real quotes.
- Not investment advice
- Not a solicitation for real-estate investment or brokerage.
References
- •No per-listing source field — constructed with reference to public platforms like KB Real Estate, Naver Real Estate, and Zillow.
Sample / representative data
- Data nature
- Representative prices from manufacturer MSRPs and major retailer listings.
- Currency
- Local currency of each item's market.
- Period
- Recent list prices, approximately.
- Lag
- Promotions, FX, and region can change actual prices.
- Possible errors
- Based on list prices, so actual purchase prices may differ.
- Not investment advice
- Not a purchase recommendation.
References
- •No per-item source field — reference values from manufacturer / retailer public pages.
Historical prices
- Data nature
- Hypothetical simulation computed from publicly reported annual closes / adjusted prices. Not an actual investment outcome.
- Currency
- Investment amount and result in KRW or USD.
- Period
- Between the chosen investYear and 'today'.
- Lag
- Fees, taxes, dividend reinvestment, and FX changes are simplified.
- Possible errors
- Educational simplification may diverge from actual compounded returns.
- Not investment advice
- Past returns do not guarantee future ones.
References
- •No per-item source field — approximate values based on public records.
Historical pricesSample / representative data
- Data nature
- Each asset carries only a `returnRate1Y` field (1-year % return) — no live price lookup.
- Currency
- Relative % returns; the hypothetical principal is shown in KRW or USD.
- Period
- Representative 1-year return for a fixed window.
- Lag
- Stored 1-year returns remain fixed until the dataset is updated.
- Possible errors
- Rounding and the chosen window can diverge from reality.
- Not investment advice
- Does not forecast any asset's future return and is not a buy/sell recommendation.
References
- •No per-asset source field — representative figures drawn from public feeds (Yahoo Finance, CoinGecko, etc.).
Derived / public indices
- Data nature
- Representative figures based on The Economist's publicly released informal Big Mac Index.
- Currency
- Local currency plus USD conversion.
- Period
- A single released snapshot (the index is published semi-annually).
- Lag
- May not track the latest release cycle.
- Possible errors
- FX and local-price timing can diverge from current reality.
- Not investment advice
- Not a recommendation to trade FX or invest — a learning aid for purchasing-power parity.
References
- •The Economist — Big Mac Index (public releases).
Historical pricesSample / representative data
- Data nature
- Representative figures inspired by total-compensation disclosures in public filings.
- Currency
- Home-country currency (USD, KRW, JPY, …).
- Period
- Approximately the latest fiscal-year reports.
- Lag
- Disclosures can be restated after initial publication.
- Possible errors
- Rounding, unit conversion, and non-cash compensation interpretation may cause deviations.
- Not investment advice
- Not an evaluation of any CEO/company and not a stock recommendation.
References
- •No per-item source field — representative values drawn from public filings such as DEF 14A and audit reports.
Historical prices
- Data nature
- Representative international oil prices (USD per barrel) tied to specific historical events.
- Currency
- USD per barrel.
- Period
- Event-specific snapshots (days-to-weeks granularity).
- Lag
- Not real-time; an approximate close near the event.
- Possible errors
- Depending on the chosen date/time, the actual trade price may differ by a few percent.
- Not investment advice
- Not a commodities trading or investment recommendation.
References
- •No per-item source field — reference values drawn from public records (EIA, ICE Brent, NYMEX WTI).
Historical prices
- Data nature
- Representative USD crypto prices at a specific point in time.
- Currency
- USD.
- Period
- The date shown on each puzzle card.
- Lag
- Not real-time — a representative close for that date.
- Possible errors
- Exchange-to-exchange differences and rounding may cause a few percent deviation.
- Not investment advice
- Crypto is extremely volatile — this is not a trading recommendation.
References
- •No per-item source field — representative values based on public feeds (CoinGecko, CoinMarketCap).
Sample / representative data
- Data nature
- Representative annual-tuition figures inspired by each university's official site.
- Currency
- Local currency of the school (USD, KRW, EUR, GBP, CHF, JPY, …).
- Period
- Approximately the latest academic year.
- Lag
- Actual payments vary with scholarships, nationality, and major.
- Possible errors
- Rounding and per-term accounting may cause deviations.
- Not investment advice
- Not an official reference for admissions or study-abroad decisions — check the university's site directly.
References
- •No per-item source field — references to each university's officially published tuition.
Sample / representative data
- Data nature
- Representative examples based on public averages from major booking platforms.
- Currency
- Mix of KRW, USD, EUR, GBP depending on the route.
- Period
- Recent averages without a specific query date.
- Lag
- Actual fares move sharply with travel date, booking window, and class.
- Possible errors
- As averages, these may differ from real quotes by tens of percent.
- Not investment advice
- Not a ticket-purchase or price-forecasting tool.
References
- •No per-route source field — based on public search averages.
Data feedback
If you spot a price or attribution error, email yuseong2099@gmail.com. yuseong2099@gmail.com
See Methodology for how the data is assembled.