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Which cryptocurrencies are most influenced by SPY and NYSEARCA?

avatarheernNov 23, 2021 · 3 years ago3 answers

Can you provide a list of cryptocurrencies that are most influenced by SPY (S&P 500 ETF) and NYSEARCA (New York Stock Exchange Arca)? I'm interested in knowing which cryptocurrencies tend to have a strong correlation with these traditional financial indicators.

Which cryptocurrencies are most influenced by SPY and NYSEARCA?

3 answers

  • avatarNov 23, 2021 · 3 years ago
    As an expert in the field, I can tell you that Bitcoin (BTC), Ethereum (ETH), and Ripple (XRP) are among the cryptocurrencies that are most influenced by SPY and NYSEARCA. These cryptocurrencies often experience price movements that align with the performance of the S&P 500 and the New York Stock Exchange Arca. However, it's important to note that correlation does not necessarily imply causation, and the relationship between these traditional financial indicators and cryptocurrencies can be complex and dynamic.
  • avatarNov 23, 2021 · 3 years ago
    When it comes to cryptocurrencies that are influenced by SPY and NYSEARCA, it's worth mentioning Litecoin (LTC), Bitcoin Cash (BCH), and Cardano (ADA). These cryptocurrencies have shown some degree of correlation with the S&P 500 ETF and the New York Stock Exchange Arca. It's important to keep in mind that while these correlations exist, they can change over time due to various factors affecting the cryptocurrency market and traditional financial markets.
  • avatarNov 23, 2021 · 3 years ago
    According to a recent analysis, some of the cryptocurrencies that have been found to be influenced by SPY and NYSEARCA include Bitcoin (BTC), Ethereum (ETH), and Binance Coin (BNB). These cryptocurrencies have shown a tendency to move in sync with the S&P 500 ETF and the New York Stock Exchange Arca. However, it's important to note that correlation does not imply causation, and the relationship between these traditional financial indicators and cryptocurrencies can be influenced by a wide range of factors.