Metodologi

Trust Score er i øjeblikket ikke tilgængelig for Derivatbørser eller . Derivathandelspar og Derivatbørser rangeres baseret på deres respektive data for Åbne terminskontrakter og Handelsvolumen som rapporteret.

Et kryptoaktivs kurs beregnes på grundlag af de parringer, der er tilgængelige og indsamles af CoinGecko fra de forskellige børser for et bestemt kryptoaktiv. Den kurs, der vises på CoinGecko for et bestemt kryptoaktiv, beregnes ved hjælp af en global volumenvægtet gennemsnitskursformel.

1. Calculating the Bitcoin Price Index (BPI)
   All ticker data on CoinGecko are stored in BTC base. To convert all ticker data to BTC, we utilize the BPI as the internal reference Bitcoin conversion rate to all fiat currencies.
   
   
   1. BPI Calculation
      We begin with calculating the BPIUSD, the reference BTC-USD conversion rate. This is calculated as the volume-weighted average price (VWAP) of selected BTC/USD, BTC/USDT, BTC/USDC, or BTC/EUR tickers across a selection of reputable exchanges. Prior to performing VWAP, USDT and USDC-paired BPI tickers are first converted to USD using a USD_ONRAMP_INDEX, while EUR BPI tickers are converted to USD using Open Exchange Rates. Once we obtain the BPIUSD, we apply the corresponding /USD exchange rate from Open Exchange Rates to obtain the BPI for all other fiat currencies supported on CoinGecko.
   2. Ticker Data Processing
      Once the BPI is calculated, we can process the tickers for all coins listed on CoinGecko. Tickers with BTC base are stored as-is in our database. Fiat currency tickers of all other coins are converted to a BTC base by applying the BPI. For crypto-to-crypto tickers, we apply an internal pathfinding algorithm to arrive at the BTC price. Once the price and volume of all tickers are denominated in BTC, they can be converted back to USD or any other fiat currency.
2. Aggregating the market price for all coins
   
   
   1. Initial Ticker Set Construction
      In addition to displaying data from individual tickers, CoinGecko also displays one aggregated market price for coins. For the purpose of price aggregation, an initial ticker set is constructed based on the top 600 tickers by volume of a particular coin. We then filter out tickers if it is detected to be anomalous or do not meet selected criteria.
   2. Price Outlier Detection and Exclusion
      One of the most important anomalous ticker filters we utilize is price outlier detection, where tickers that display an outlier price within the ticker set are automatically excluded. There are currently two different outlier detection algorithms depending on the number of available tickers in the ticker set. For coins with less than three tickers, any ticker price change that is greater than 100x from the previous price will be classified as an outlier. For coins with three tickers or more, CoinGecko applies an outlier detection algorithm by calculating the lower and upper bounds based on the Median absolut afvigelse. If the price falls outside the bounds, we consider those tickers as outliers.
   3. Final Price Aggregation
      Once outliers have been removed, we calculate the VWAP of all remaining tickers in the ticker set to arrive at the final aggregated price. In certain cases, our operations team may intervene to exclude outliers if the team believes a certain ticker price to be anomalous but was not excluded by our outlier detection algorithm.

Handelsvolumenet for en børs er summen af volumenerne for alle handelspar, der er tilgængelige på en given børs. Antag for eksempel, at børs A har 2 forskellige coins (ETH og LTC), og at begge har USD- og BTC-par:

Vi henter ETH = USD $200 og LTC = USD $100 fra CoinGeckos globale volumenvægtede gennemsnitskurs og med følgende handelsvolumen (rullende 24 timer) for hvert par:

ETH/BTC = 400 ETH
ETH/USD = 100 ETH
LTC/BTC = 3.000 LTC
LTC/USD = 2.000 LTC

Børs A’s handelsvolumen er så:
400 ETH + 100 ETH + 3.000 LTC + 2.000 LTC = USD 600.000

Bemærk, at CoinGeckos beregningsalgoritme for et børsvolumen udelukker handelspar, der er blevet sortlistet for inkonsistente data og ikke er blevet opdateret i over 3 timer. Dette er for at sikre, at det aggregerede volumen afspejler markedsforholdene så nøjagtigt som muligt.

Markedsværdien for et kryptoaktiv beregnes ved hjælp af følgende formel:

Lad følgende gælde:
A = Aktuel kryptoaktivkurs i USD
B = Tilgængeligt udbud for et aktiv

Markedsværdi = A * B

For eksempel beregnes markedsværdien for 0x ved at gange det tilgængelige udbud for ZRX med dens kurs. Hvis vi antager, at det tilgængelige udbud for ZRX er 583.209.787, og at kursen for ZRX er USD 0,25, så beregnes markedsværdien som 583.209.787 * USD $0,25 = USD 145.802.446,75.