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AaveAlgorandAvalancheBitcoinCardanoChainlinkCosmosDogecoinEthereumKusamaLitecoinPolkadotPolygonSolanaStellarSynthetixTerraThetaTetherTezosUniswapVeChainXRPYearn.finance .

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Headed by Canadian Changpeng Zhao, Binance offers a wide range of services globally, from crypto spot and derivatives trading to tokenised versions of stocks, as well as its own cryptocurrency, Binance Coin.

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The U.S. firm shares a name with Binance Holdings Ltd., the world’s biggest crypto exchange -- and Changpeng Zhao, the CEO of Binance Holdings, is chairman of the board at Binance.US. Binance Holdings faces a U.S. Justice Department investigation into whether its platform has facilitated money laundering and tax evasion. Numerous countries have also announced probes and demanded that Binance curtail or amend operations within their borders.
Additionally, 4JNET has its smart contract audited by a world-leading blockchain network security firm. CertiK is known for working with big platforms. Their portfolio includes providing audit services for Binance, Huobi, and OKEx, in addition to blockchain ecosystems like Ethereum, Terra, and Neo.

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Combining the BSADF with the GSADF test allows the r2 value to vary while still using a backward expanding window. r2 starts at the smallest possible window size, and moves one point at a time towards the end of the time series.

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    A digital wallet is a gadget or piece of software that securely stores users’ payment information and passwords for numerous payment methods.

    There is not one single location for Wikipedia views data over the historical data interval required. Wikipedia views data from the start of 2015 onwards can be retrieved using the official mwviews python library which connects to Wikipedia’s pageview API. Previous historical data can be retrieved in one month buckets from a separate website (http://stats.grok.de). Data was programmatically retrieved here from both sources, and then merged to produce a single time series.
    More importantly, we find that the ACP and ANET factors can price cryptocurrency returns. In particular, all of our five cryptocurrencies have positive and significant exposures to the fundamental factors. The explanatory power of ACP and ANET is over and above any effects related to the Bitcoin and momentum factors. This finding is non-trivial given that the five cryptocurrencies in our sample have consistently accounted for between 80% to 95% of the total cryptocurrency market capitalisation. Furthermore, we extend our factor analysis to an out-of-sample set of 33 cryptocurrencies obtained from the Bittrex exchange. We find that the aggregate computing power and network factors also price cryptocurrencies in this large out-of-sample data set.

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    Bitcoin’s surge continued overnight on Monday as the cryptocurrency soared to $68,568.85 in value in the early hours of Tuesday morning, according to Coinbase.
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    Roblox's (NYSE: RBLX) stock skyrocketed 42% to an all-time high on Nov. 9 after the gaming platform company posted its third-quarter report. Roblox's revenue jumped 102% year-over-year to $509 million, which missed analysts' estimates by $127 million.
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    Overall, it appears from these results that cryptocurrencies may experience short term intervals of co-movement, caused by sector wide news or cross market contagion, though correlation is likely to change dependent on the nature of the causal event and market environment. In the medium and longer term Bitcoin and Litecoin are strongly related; it is believed this is due to their similarity.

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Much like Dogecoin, it is cryptocurrency that was started off the back of an internet meme.

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We set the stage for our formal econometric analysis by providing some graphical evidence. For example, in Figure 1, we see a close mapping of the prices of Bitcoin and Ethereum with their respective computing power values. Moreover, in Figure 2, we observe an even stronger mapping of the prices of Bitcoin and Ethereum with their respective network values. Interestingly, these graphs also show that when prices significantly exceed the trend in computing power or network (as was the case in late 2017), prices eventually fall and trace the trend in fundamentals. The convergence of prices to the trend with fundamentals suggests that fundamentals are the ultimate, long-run determinants of prices.

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