Crypto Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
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via Viewbase
Notably, nearly all of the 26 million tokens are being kept on 10 centralized exchanges. Coinbase alone has custody of 8,.5 million ETH tokens, roughly 7.5% of the supply.
By comparison, the total number of BTC stuck on cryptocurrency exchanges equates to approximately 8.1 percent of the circulating supply of Bitcoin.
Analysts say that ETH hodlers are looking to sell while BTC hodlers are stashing their coins This could imply that BTC hodlers are much less eager to sell their coins that ETH hodlers. Earlier in October, renowned cryptocurrency analyst, Willy Woo wrote on Twitter that when the number of coins kept on cryptocurrency exchanges drops, “It’s a sign that new buyers are coming in to scoop the coins off the markets and moving them into Cold Storage
Cold Storage
Cold storage is a computer system or mode of operation that is designed for the retention of inactive data, in this case private keys for cryptocurrencies. This helps put up resilient barriers against theft by hackers and malware, and is often a necessary security protocol especially dealing with large amounts of Bitcoin.In order to “own” a cryptocurrency, one must be in control of a cryptocurrency’s private keys. As such, private keys are long strings of random characters that can be used to send cryptocoins.Benefits of Cold StorageMany cryptocurrency experts recommend that you don’t keep your coins on an exchange at all rather, keeping them in a cold wallet of your own. Overall, cold storage helps control for a number of threats such as theft.This includes signing transactions with private keys in an offline environment. However, transactions initiated online are temporarily transferred to an offline wallet kept on a device such as a USB, CD, hard drive, paper, or offline computer. This itself creates risks that must be accounted for.These private keys can be stored in several different ways. By extension, when they are stored inside of a device that is connected to the internet, they are said to be in a hot wallet.When they are stored in a device (i.e. a hardware wallet) that is not connected to the internet, or on a piece of paper (a paper wallet), they are said to be in cold storage.Because cryptocurrencies that are kept in cold storage do not have an active connection with the internet, cold storage is considered to be a much safer method of keeping coins secure. After all, you can’t hack into a piece of paper.When searching for a cryptocurrency exchange, it is imperative to make sure that the exchanges you use keep their cryptocurrencies in cold storage. This vastly reduces the risk of losing the funds that you keep on an exchange to a hacker.
Cold storage is a computer system or mode of operation that is designed for the retention of inactive data, in this case private keys for cryptocurrencies. This helps put up resilient barriers against theft by hackers and malware, and is often a necessary security protocol especially dealing with large amounts of Bitcoin.In order to “own” a cryptocurrency, one must be in control of a cryptocurrency’s private keys. As such, private keys are long strings of random characters that can be used to send cryptocoins.Benefits of Cold StorageMany cryptocurrency experts recommend that you don’t keep your coins on an exchange at all rather, keeping them in a cold wallet of your own. Overall, cold storage helps control for a number of threats such as theft.This includes signing transactions with private keys in an offline environment. However, transactions initiated online are temporarily transferred to an offline wallet kept on a device such as a USB, CD, hard drive, paper, or offline computer. This itself creates risks that must be accounted for.These private keys can be stored in several different ways. By extension, when they are stored inside of a device that is connected to the internet, they are said to be in a hot wallet.When they are stored in a device (i.e. a hardware wallet) that is not connected to the internet, or on a piece of paper (a paper wallet), they are said to be in cold storage.Because cryptocurrencies that are kept in cold storage do not have an active connection with the internet, cold storage is considered to be a much safer method of keeping coins secure. After all, you can’t hack into a piece of paper.When searching for a cryptocurrency exchange, it is imperative to make sure that the exchanges you use keep their cryptocurrencies in cold storage. This vastly reduces the risk of losing the funds that you keep on an exchange to a hacker.
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When coins on spot exchanges drop, it's a sign that new buyers are coming in to scoop coins off the markets and moving them into cold storage HODL, we are seeing new HODLers right now. Very macro bullish. pic.twitter.com/XKsOsyYGIq
— Willy Woo (@woonomic) October 7, 2020 In other words, coins are being bought and transferred into private digital wallets for long-term hodling. Therefore, Woo said low numbers of coins on exchanges is “macro bullish.”
By contrast, a high number of coins on exchanges could indicate that hodlers are eager to offload their coins. Therefore, ETH hodlers could be looking to cash out.
However, Bitcoin seems to be growing in popularity as a long-term investment asset. Earlier this month, Finance Magnates reported that BTC’s migration off exchanges has reached its highest point in months.
Bitcoin Fear and Greed Index is 67 - Greed pic.twitter.com/ksuUNIZVt1
— Bitcoin Fear and Greed Index (@BitcoinFear) October 29, 2020 At the same time, data from Glassnode shows that there has been growth in the number of new Bitcoin wallet addresses being created each day: 480,000 — roughly six times the number of new Ether wallets that are being created daily.
Furthermore, Finance Magnates reported that Bitcoin’s Fear and Greed Index, which measures the likelihood of market participants to buy (greed) or sell (fear) their coins, has been decisively skewed toward greed for most of the month of October.
Crypto Analytics
Analytics
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability.
Read this Term
via Viewbase
Notably, nearly all of the 26 million tokens are being kept on 10 centralized exchanges. Coinbase alone has custody of 8,.5 million ETH tokens, roughly 7.5% of the supply.
By comparison, the total number of BTC stuck on cryptocurrency exchanges equates to approximately 8.1 percent of the circulating supply of Bitcoin.
Analysts say that ETH hodlers are looking to sell while BTC hodlers are stashing their coins This could imply that BTC hodlers are much less eager to sell their coins that ETH hodlers. Earlier in October, renowned cryptocurrency analyst, Willy Woo wrote on Twitter that when the number of coins kept on cryptocurrency exchanges drops, “It’s a sign that new buyers are coming in to scoop the coins off the markets and moving them into Cold Storage
Cold Storage
Cold storage is a computer system or mode of operation that is designed for the retention of inactive data, in this case private keys for cryptocurrencies. This helps put up resilient barriers against theft by hackers and malware, and is often a necessary security protocol especially dealing with large amounts of Bitcoin.In order to “own” a cryptocurrency, one must be in control of a cryptocurrency’s private keys. As such, private keys are long strings of random characters that can be used to send cryptocoins.Benefits of Cold StorageMany cryptocurrency experts recommend that you don’t keep your coins on an exchange at all rather, keeping them in a cold wallet of your own. Overall, cold storage helps control for a number of threats such as theft.This includes signing transactions with private keys in an offline environment. However, transactions initiated online are temporarily transferred to an offline wallet kept on a device such as a USB, CD, hard drive, paper, or offline computer. This itself creates risks that must be accounted for.These private keys can be stored in several different ways. By extension, when they are stored inside of a device that is connected to the internet, they are said to be in a hot wallet.When they are stored in a device (i.e. a hardware wallet) that is not connected to the internet, or on a piece of paper (a paper wallet), they are said to be in cold storage.Because cryptocurrencies that are kept in cold storage do not have an active connection with the internet, cold storage is considered to be a much safer method of keeping coins secure. After all, you can’t hack into a piece of paper.When searching for a cryptocurrency exchange, it is imperative to make sure that the exchanges you use keep their cryptocurrencies in cold storage. This vastly reduces the risk of losing the funds that you keep on an exchange to a hacker.
Cold storage is a computer system or mode of operation that is designed for the retention of inactive data, in this case private keys for cryptocurrencies. This helps put up resilient barriers against theft by hackers and malware, and is often a necessary security protocol especially dealing with large amounts of Bitcoin.In order to “own” a cryptocurrency, one must be in control of a cryptocurrency’s private keys. As such, private keys are long strings of random characters that can be used to send cryptocoins.Benefits of Cold StorageMany cryptocurrency experts recommend that you don’t keep your coins on an exchange at all rather, keeping them in a cold wallet of your own. Overall, cold storage helps control for a number of threats such as theft.This includes signing transactions with private keys in an offline environment. However, transactions initiated online are temporarily transferred to an offline wallet kept on a device such as a USB, CD, hard drive, paper, or offline computer. This itself creates risks that must be accounted for.These private keys can be stored in several different ways. By extension, when they are stored inside of a device that is connected to the internet, they are said to be in a hot wallet.When they are stored in a device (i.e. a hardware wallet) that is not connected to the internet, or on a piece of paper (a paper wallet), they are said to be in cold storage.Because cryptocurrencies that are kept in cold storage do not have an active connection with the internet, cold storage is considered to be a much safer method of keeping coins secure. After all, you can’t hack into a piece of paper.When searching for a cryptocurrency exchange, it is imperative to make sure that the exchanges you use keep their cryptocurrencies in cold storage. This vastly reduces the risk of losing the funds that you keep on an exchange to a hacker.
Read this Term
When coins on spot exchanges drop, it's a sign that new buyers are coming in to scoop coins off the markets and moving them into cold storage HODL, we are seeing new HODLers right now. Very macro bullish. pic.twitter.com/XKsOsyYGIq
— Willy Woo (@woonomic) October 7, 2020 In other words, coins are being bought and transferred into private digital wallets for long-term hodling. Therefore, Woo said low numbers of coins on exchanges is “macro bullish.”
By contrast, a high number of coins on exchanges could indicate that hodlers are eager to offload their coins. Therefore, ETH hodlers could be looking to cash out.
However, Bitcoin seems to be growing in popularity as a long-term investment asset. Earlier this month, Finance Magnates reported that BTC’s migration off exchanges has reached its highest point in months.
Bitcoin Fear and Greed Index is 67 - Greed pic.twitter.com/ksuUNIZVt1
— Bitcoin Fear and Greed Index (@BitcoinFear) October 29, 2020 At the same time, data from Glassnode shows that there has been growth in the number of new Bitcoin wallet addresses being created each day: 480,000 — roughly six times the number of new Ether wallets that are being created daily.
Furthermore, Finance Magnates reported that Bitcoin’s Fear and Greed Index, which measures the likelihood of market participants to buy (greed) or sell (fear) their coins, has been decisively skewed toward greed for most of the month of October.
