Multiple financial data providing terminals - Bloomberg, Thomson Reuters, and TradingView - will add Cryptoindex’s digital asset index, according to a Coindesk report.
According to Coindesk, the data terminal users will be able to see the top 100 performing Cryptocurrencies
Cryptocurrencies
By using cryptography, virtual currencies, known as cryptocurrencies, are nearly counterfeit-proof digital currencies that are built on blockchain technology. Comprised of decentralized networks, blockchain technology is not overseen by a central authority.Therefore, cryptocurrencies function in a decentralized nature which theoretically makes them immune to government interference. The term, cryptocurrency derives from the origin of the encryption techniques that are employed to secure the networks which are used to authenticate blockchain technology. Cryptocurrencies can be thought of as systems that accept online payments which are denoted as “tokens.” Tokens are represented as internal ledger entries in blockchain technology while the term crypto is used to depict cryptographic methods and encryption algorithms such as public-private key pairs, various hashing functions, and an elliptical curve. Every cryptocurrency transaction that occurs is logged in a web-based ledger with blockchain technology.These then must be approved by a disparate network of individual nodes (computers that maintain a copy of the ledger). For every new block generated, the block must first be authenticated and confirmed ‘approved’ by each node, which makes forging the transactional history of cryptocurrencies nearly impossible. The World’s First CryptoBitcoin became the first blockchain-based cryptocurrency and to this day is still the most demanded cryptocurrency and the most valued. Bitcoin still contributes the majority of the overall cryptocurrency market volume, though several other cryptos have grown in popularity in recent years.Indeed, out of the wake of Bitcoin, iterations of Bitcoin became prevalent which resulted in a multitude of newly created or cloned cryptocurrencies. Contending cryptocurrencies that emerged after Bitcoin’s success is referred to as ‘altcoins’ and they refer to cryptocurrencies such as Bitcoin, Peercoin, Namecoin, Ethereum, Ripple, Stellar, and Dash. Cryptocurrencies promise a wide range of technological innovations that have yet to be structured into being. Simplified payments between two parties without the need for a middle man is one aspect while leveraging blockchain technology to minimize transaction and processing fees for banks is another. Of course, cryptocurrencies have their disadvantages too. This includes issues of tax evasion, money laundering, and other illicit online activities where anonymity is a dire ingredient in solicitous and fraudulent activities.
By using cryptography, virtual currencies, known as cryptocurrencies, are nearly counterfeit-proof digital currencies that are built on blockchain technology. Comprised of decentralized networks, blockchain technology is not overseen by a central authority.Therefore, cryptocurrencies function in a decentralized nature which theoretically makes them immune to government interference. The term, cryptocurrency derives from the origin of the encryption techniques that are employed to secure the networks which are used to authenticate blockchain technology. Cryptocurrencies can be thought of as systems that accept online payments which are denoted as “tokens.” Tokens are represented as internal ledger entries in blockchain technology while the term crypto is used to depict cryptographic methods and encryption algorithms such as public-private key pairs, various hashing functions, and an elliptical curve. Every cryptocurrency transaction that occurs is logged in a web-based ledger with blockchain technology.These then must be approved by a disparate network of individual nodes (computers that maintain a copy of the ledger). For every new block generated, the block must first be authenticated and confirmed ‘approved’ by each node, which makes forging the transactional history of cryptocurrencies nearly impossible. The World’s First CryptoBitcoin became the first blockchain-based cryptocurrency and to this day is still the most demanded cryptocurrency and the most valued. Bitcoin still contributes the majority of the overall cryptocurrency market volume, though several other cryptos have grown in popularity in recent years.Indeed, out of the wake of Bitcoin, iterations of Bitcoin became prevalent which resulted in a multitude of newly created or cloned cryptocurrencies. Contending cryptocurrencies that emerged after Bitcoin’s success is referred to as ‘altcoins’ and they refer to cryptocurrencies such as Bitcoin, Peercoin, Namecoin, Ethereum, Ripple, Stellar, and Dash. Cryptocurrencies promise a wide range of technological innovations that have yet to be structured into being. Simplified payments between two parties without the need for a middle man is one aspect while leveraging blockchain technology to minimize transaction and processing fees for banks is another. Of course, cryptocurrencies have their disadvantages too. This includes issues of tax evasion, money laundering, and other illicit online activities where anonymity is a dire ingredient in solicitous and fraudulent activities.
Read this Term, a list which gets prepared by considering social media posts and news.
Commenting on the development, VJ Angelo, CEO of Cryptoindex, said: “The index is the culmination of three decades experience in the financial services industry building indices. I have witnessed first hand the growing demand for high-quality insight into the traditionally opaque and misunderstood area of cryptocurrency, which led me to create Cryptoindex. Our index takes into account collective sentiments expressed on social media, in addition to complex data analysis of volume trades and predictive 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.”
A different type of index
The crypto index only considers digital currencies that maintained their position among the top 200 currencies for three consecutive months. In addition, to qualify for indexing, the digital assets need to be listed in multiple crypto exchanges and should have a “significant social media following.”
In addition, the Malta-registered company uses a proprietary algorithm called Zorax to analyze tens of millions of trades across nine crypto exchanges. According to the company, the algorithm analyzes 1.200 coins and incorporates over 33 Terabytes of data to extract over 200 factors.
Meanwhile, other companies are also developing crypto pricing products to serve the needs of investors. Earlier this week, Finance Magnates reported that CryptoCompare and Nasdaq partnered to launch an institution-focused crypto pricing product on Quandl, a Nasdaq-owned financial data platform.
“They are also subject to existing regulations and as such are proving very expensive on margining due to the high volatility of the market,” Angelo added. “There are also a number of crypto exchanges offering crypto derivatives, however, these aren’t always regulated. As a result, there is an opening for a properly designed and executed set of crypto derivatives in the market to meet institutional requirements. Cryptoindex will look to meet this need in the not too distant future though the precise timing isn’t yet agreed internally.”
Multiple financial data providing terminals - Bloomberg, Thomson Reuters, and TradingView - will add Cryptoindex’s digital asset index, according to a Coindesk report.
According to Coindesk, the data terminal users will be able to see the top 100 performing Cryptocurrencies
Cryptocurrencies
By using cryptography, virtual currencies, known as cryptocurrencies, are nearly counterfeit-proof digital currencies that are built on blockchain technology. Comprised of decentralized networks, blockchain technology is not overseen by a central authority.Therefore, cryptocurrencies function in a decentralized nature which theoretically makes them immune to government interference. The term, cryptocurrency derives from the origin of the encryption techniques that are employed to secure the networks which are used to authenticate blockchain technology. Cryptocurrencies can be thought of as systems that accept online payments which are denoted as “tokens.” Tokens are represented as internal ledger entries in blockchain technology while the term crypto is used to depict cryptographic methods and encryption algorithms such as public-private key pairs, various hashing functions, and an elliptical curve. Every cryptocurrency transaction that occurs is logged in a web-based ledger with blockchain technology.These then must be approved by a disparate network of individual nodes (computers that maintain a copy of the ledger). For every new block generated, the block must first be authenticated and confirmed ‘approved’ by each node, which makes forging the transactional history of cryptocurrencies nearly impossible. The World’s First CryptoBitcoin became the first blockchain-based cryptocurrency and to this day is still the most demanded cryptocurrency and the most valued. Bitcoin still contributes the majority of the overall cryptocurrency market volume, though several other cryptos have grown in popularity in recent years.Indeed, out of the wake of Bitcoin, iterations of Bitcoin became prevalent which resulted in a multitude of newly created or cloned cryptocurrencies. Contending cryptocurrencies that emerged after Bitcoin’s success is referred to as ‘altcoins’ and they refer to cryptocurrencies such as Bitcoin, Peercoin, Namecoin, Ethereum, Ripple, Stellar, and Dash. Cryptocurrencies promise a wide range of technological innovations that have yet to be structured into being. Simplified payments between two parties without the need for a middle man is one aspect while leveraging blockchain technology to minimize transaction and processing fees for banks is another. Of course, cryptocurrencies have their disadvantages too. This includes issues of tax evasion, money laundering, and other illicit online activities where anonymity is a dire ingredient in solicitous and fraudulent activities.
By using cryptography, virtual currencies, known as cryptocurrencies, are nearly counterfeit-proof digital currencies that are built on blockchain technology. Comprised of decentralized networks, blockchain technology is not overseen by a central authority.Therefore, cryptocurrencies function in a decentralized nature which theoretically makes them immune to government interference. The term, cryptocurrency derives from the origin of the encryption techniques that are employed to secure the networks which are used to authenticate blockchain technology. Cryptocurrencies can be thought of as systems that accept online payments which are denoted as “tokens.” Tokens are represented as internal ledger entries in blockchain technology while the term crypto is used to depict cryptographic methods and encryption algorithms such as public-private key pairs, various hashing functions, and an elliptical curve. Every cryptocurrency transaction that occurs is logged in a web-based ledger with blockchain technology.These then must be approved by a disparate network of individual nodes (computers that maintain a copy of the ledger). For every new block generated, the block must first be authenticated and confirmed ‘approved’ by each node, which makes forging the transactional history of cryptocurrencies nearly impossible. The World’s First CryptoBitcoin became the first blockchain-based cryptocurrency and to this day is still the most demanded cryptocurrency and the most valued. Bitcoin still contributes the majority of the overall cryptocurrency market volume, though several other cryptos have grown in popularity in recent years.Indeed, out of the wake of Bitcoin, iterations of Bitcoin became prevalent which resulted in a multitude of newly created or cloned cryptocurrencies. Contending cryptocurrencies that emerged after Bitcoin’s success is referred to as ‘altcoins’ and they refer to cryptocurrencies such as Bitcoin, Peercoin, Namecoin, Ethereum, Ripple, Stellar, and Dash. Cryptocurrencies promise a wide range of technological innovations that have yet to be structured into being. Simplified payments between two parties without the need for a middle man is one aspect while leveraging blockchain technology to minimize transaction and processing fees for banks is another. Of course, cryptocurrencies have their disadvantages too. This includes issues of tax evasion, money laundering, and other illicit online activities where anonymity is a dire ingredient in solicitous and fraudulent activities.
Read this Term, a list which gets prepared by considering social media posts and news.
Commenting on the development, VJ Angelo, CEO of Cryptoindex, said: “The index is the culmination of three decades experience in the financial services industry building indices. I have witnessed first hand the growing demand for high-quality insight into the traditionally opaque and misunderstood area of cryptocurrency, which led me to create Cryptoindex. Our index takes into account collective sentiments expressed on social media, in addition to complex data analysis of volume trades and predictive 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.”
A different type of index
The crypto index only considers digital currencies that maintained their position among the top 200 currencies for three consecutive months. In addition, to qualify for indexing, the digital assets need to be listed in multiple crypto exchanges and should have a “significant social media following.”
In addition, the Malta-registered company uses a proprietary algorithm called Zorax to analyze tens of millions of trades across nine crypto exchanges. According to the company, the algorithm analyzes 1.200 coins and incorporates over 33 Terabytes of data to extract over 200 factors.
Meanwhile, other companies are also developing crypto pricing products to serve the needs of investors. Earlier this week, Finance Magnates reported that CryptoCompare and Nasdaq partnered to launch an institution-focused crypto pricing product on Quandl, a Nasdaq-owned financial data platform.
“They are also subject to existing regulations and as such are proving very expensive on margining due to the high volatility of the market,” Angelo added. “There are also a number of crypto exchanges offering crypto derivatives, however, these aren’t always regulated. As a result, there is an opening for a properly designed and executed set of crypto derivatives in the market to meet institutional requirements. Cryptoindex will look to meet this need in the not too distant future though the precise timing isn’t yet agreed internally.”