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Ong explains: "We started as a crypto information aggregator tracking designer and neighborhood metrics. For designer stats, we track the Github, Bitbucket, and Gitlab. We count the variety of devotes, lines added/deleted, stars, forks, and pull demands. For  More Discussion Posted Here , we track Twitter fans, Facebook likes, Reddit subscribers, new posts, and remarks.

Just looking at market capitalisation isn't enough to go by as this can be easily manipulated. Trading volume is undependable for examining cryptocurrency exchanges, Story continues, Five years after Coin, Gecko came out, information manipulation in the industry is still a significant concern. When Bitwise Property Management sent its Bitcoin ETF proposal to the SEC earlier this year, it included a study exposing that as much as 95% of trading volume on cryptocurrency exchanges was fake.

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Shocking statistics like this program that the real market for Bitcoin and other cryptocurrencies is much smaller sized than it appears. Ong remarks: "Fast forward to 2019, we concerned a stage where cryptocurrency exchange data was extremely manipulated. In regulated conventional markets, reported volume by exchanges are extremely trustworthy and high volume indicates that there is more liquidity in the exchange.

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One need to look at other metrics. This is where Coin, Gecko is available in. The business just recently released a feature it calls "Trust Rating" to fight phony exchange volume."Rather of sorting exchanges by 'total 24-hour reported trading volume', Coin, Gecko now sorts exchanges by Trust Rating," says Ong."This is a combination of normalised exchange volume utilizing web traffic and order book analysis.

For order book depth analysis, the bid/ask spread and capital needed to move the order book by 2% are both measured."When combined with normalised trading volume, these metrics provide a better overview of the real liquidity of any given trading set on an exchange," Ong asserts. In the coming months, Ong says that Coin, Gecko will further improve its Trust Rating function by introducing additional metrics.