In a span of twelve months, 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 have gone from fringe asset to one of the hottest inclusions amongst retail brokerages and exchanges. The hype is real, and heading into 2018 Bloomberg has clearly recognized this trend, adding Ethereum, Litecoin and Ripple to the Bloomberg Terminal.
Bloomberg Terminal is arguably the most widely used data provider available, providing breaking news, research, 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, and other execution capabilities bundled into one cohesive solution. However, one of the key blind spots on the terminal for much of 2017 was in the crypto space, a reality that the group has opted to address with the new addition of leading altcoins.
While Bitcoin has captured most of the focus during the year, the rapid rise of other altcoins have also helped kindle interest in the space. Bitcoin remains the largest cap cryptocurrency with nearly $300 billion, though Ethereum, Litecoin, and Ripple have quickly emerged as viable players.
These altcoins has been embraced by both retail and institutional investors, which explains their steady inclusion onto leading broker platforms and institutional venues. The addition of Ethereum, Litecoin, and Ripple to Bloomberg Terminal are an obvious nod to foreign exchange (FX) traders looking to get exposure to these instruments.
Indeed, these coins are all trading at record highs, with their high levels of volatility making them ideal instruments for traders. Their addition to Bloomberg Terminal also shores up the solution’s focus on the crypto space, as the altcoins are distinctly different in nature from Bitcoin. Bitcoin is already included on the Terminal.
Moving forward it seems plausible that the Bloomberg Terminal may add even more cryptos to its offering, as the market cap of other cryptos continue to rise. The market cap of Ethereum ($63.0 billion), Litecoin ($14.6 billion), and Ripple ($28.8 billion), along with Bitcoin, now reflect the most widely traded cryptocurrencies.
These altcoins constitute the most substantial cryptos to date, which along with Bitcoin, reflect the most diverse exposure for investors. Time will tell which other coins will make the leap.
In a span of twelve months, 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 have gone from fringe asset to one of the hottest inclusions amongst retail brokerages and exchanges. The hype is real, and heading into 2018 Bloomberg has clearly recognized this trend, adding Ethereum, Litecoin and Ripple to the Bloomberg Terminal.
Bloomberg Terminal is arguably the most widely used data provider available, providing breaking news, research, 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, and other execution capabilities bundled into one cohesive solution. However, one of the key blind spots on the terminal for much of 2017 was in the crypto space, a reality that the group has opted to address with the new addition of leading altcoins.
While Bitcoin has captured most of the focus during the year, the rapid rise of other altcoins have also helped kindle interest in the space. Bitcoin remains the largest cap cryptocurrency with nearly $300 billion, though Ethereum, Litecoin, and Ripple have quickly emerged as viable players.
These altcoins has been embraced by both retail and institutional investors, which explains their steady inclusion onto leading broker platforms and institutional venues. The addition of Ethereum, Litecoin, and Ripple to Bloomberg Terminal are an obvious nod to foreign exchange (FX) traders looking to get exposure to these instruments.
Indeed, these coins are all trading at record highs, with their high levels of volatility making them ideal instruments for traders. Their addition to Bloomberg Terminal also shores up the solution’s focus on the crypto space, as the altcoins are distinctly different in nature from Bitcoin. Bitcoin is already included on the Terminal.
Moving forward it seems plausible that the Bloomberg Terminal may add even more cryptos to its offering, as the market cap of other cryptos continue to rise. The market cap of Ethereum ($63.0 billion), Litecoin ($14.6 billion), and Ripple ($28.8 billion), along with Bitcoin, now reflect the most widely traded cryptocurrencies.
These altcoins constitute the most substantial cryptos to date, which along with Bitcoin, reflect the most diverse exposure for investors. Time will tell which other coins will make the leap.