TipRanks Extends Stock Analysis Tool-Kit to Interactive Brokers Platform
- The toolkit offers leading stock ratings and price targets as well as analyses of the latest news sentiment.
Big data and 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 have continued to take the financial services industry by storm, with brokers, banks, and other venues relying on advanced data and analytics solutions. In its latest collaboration, Interactive Brokers has integrated TipRanks’ Stock Analysis Tool-Kit suite into its online Trading Platform Trading Platform In the FX space, a currency trading platform is a software provided by brokers to their respective client base, garnering access as traders in the broader market. Most commonly, this reflects an online interface or mobile app, complete with tools for order processing.Every broker needs one or more trading platforms to accommodate the needs of different clients. Being the backbone of the company’s offering, a trading platform provides clients with quotes, a selection of instruments to trade, real-time updates on quotes, charts and is the main frontend which customers are facing.Brokers either use existing trading platforms and sometimes customize them, or develop their own platform from scratch. Since the beginning of the retail FX trading business MetaQuotes and its platforms MetaTrader 4 (MT4) and MetaTrader 5 (MT5) have been the industry standard, especially when it comes to automated trading.MT4 Shows Resiliency While MT4 has long been seen as ubiquitous amongst brokers’ offerings, a targeted push by MetaQuotes themselves has led to broader adoption of MT5 in recent years. Advanced trading platforms such as MT4 or MT5 also allow access to a wide range of asset classes available for trading.The development of trading platforms over the past decade has failed to successfully dethrone MT4 or MT5, notably in the retail market. However, in institutional markets, brokerage companies and banking entities also construct and utilize proprietary currency trading platforms to help satisfy internal needs with trades executed through institutional trading channels.By far the most important parameter for many retail clients is the optionality and pairs available on trading platforms. Additionally, demand by traders has led to a greater emphasis on newer features such as advanced charting and other tools. In the FX space, a currency trading platform is a software provided by brokers to their respective client base, garnering access as traders in the broader market. Most commonly, this reflects an online interface or mobile app, complete with tools for order processing.Every broker needs one or more trading platforms to accommodate the needs of different clients. Being the backbone of the company’s offering, a trading platform provides clients with quotes, a selection of instruments to trade, real-time updates on quotes, charts and is the main frontend which customers are facing.Brokers either use existing trading platforms and sometimes customize them, or develop their own platform from scratch. Since the beginning of the retail FX trading business MetaQuotes and its platforms MetaTrader 4 (MT4) and MetaTrader 5 (MT5) have been the industry standard, especially when it comes to automated trading.MT4 Shows Resiliency While MT4 has long been seen as ubiquitous amongst brokers’ offerings, a targeted push by MetaQuotes themselves has led to broader adoption of MT5 in recent years. Advanced trading platforms such as MT4 or MT5 also allow access to a wide range of asset classes available for trading.The development of trading platforms over the past decade has failed to successfully dethrone MT4 or MT5, notably in the retail market. However, in institutional markets, brokerage companies and banking entities also construct and utilize proprietary currency trading platforms to help satisfy internal needs with trades executed through institutional trading channels.By far the most important parameter for many retail clients is the optionality and pairs available on trading platforms. Additionally, demand by traders has led to a greater emphasis on newer features such as advanced charting and other tools. Read this Term.
TipRanks has been aggressively expanding the market footprint of its Stock Analysis Tool-Kit in 2017 as part of an ongoing effort to provide new research and analysis capabilities to venues. Earlier this year, Nasdaq and Santander both assimilated the service into their respective offerings, giving TipRanks access to its largest client base to date.
TipRanks has carved out a niche as a provider of aggregated big financial data – such information is extremely important to a growing base of stock traders in the US and abroad. For its part, Interactive Brokers’ online trading platform will now feature TipRanks’ Stock Analysis Tool-Kit, which will enable traders to track the latest stock news sentiment and activity by the leading analysts.
Uri Gruenbaum, CEO of TipRanks, commented: “I am very proud about our new partnership with Interactive Brokers, one of the strongest brands in the industry. Many of our retail investors use IB as their execution platform and the new partnership will make their life easier and make our tools available to many new investors.”
Ratings and analysis from the 'Street'
In particular, the new partnership will include the adoption of TipRanks’ comprehensive financial analytics capabilities directly into Interactive Brokers’ platform. The toolkit offers stock ratings and price targets from a collection of ranked analysts as well as analyses of the latest news sentiment.
The challenge to date has not been the collection of large data streams but rather their processing – as such, the demand for a streamlined analysis tool is at a premium amongst brokers and other venues. The focus of the newly integrated offering will cover all equities listed in North America. TipRank’s Stock Analysis Tool-Kit is a departure from other proprietary NLP algorithms given its ability to process large swaths of analyst research, news and commentary.
“We are very excited about the partnership and look forward to bringing the latest interactive research tools to our customers. Big data and news analysis is increasingly seen as a fundamental part of investing research and now all our traders will have access to one of the best tools on the market,” explained Mr. Yochai Korn, Head of Market Data at Interactive Brokers LLC.
Big data and 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 have continued to take the financial services industry by storm, with brokers, banks, and other venues relying on advanced data and analytics solutions. In its latest collaboration, Interactive Brokers has integrated TipRanks’ Stock Analysis Tool-Kit suite into its online Trading Platform Trading Platform In the FX space, a currency trading platform is a software provided by brokers to their respective client base, garnering access as traders in the broader market. Most commonly, this reflects an online interface or mobile app, complete with tools for order processing.Every broker needs one or more trading platforms to accommodate the needs of different clients. Being the backbone of the company’s offering, a trading platform provides clients with quotes, a selection of instruments to trade, real-time updates on quotes, charts and is the main frontend which customers are facing.Brokers either use existing trading platforms and sometimes customize them, or develop their own platform from scratch. Since the beginning of the retail FX trading business MetaQuotes and its platforms MetaTrader 4 (MT4) and MetaTrader 5 (MT5) have been the industry standard, especially when it comes to automated trading.MT4 Shows Resiliency While MT4 has long been seen as ubiquitous amongst brokers’ offerings, a targeted push by MetaQuotes themselves has led to broader adoption of MT5 in recent years. Advanced trading platforms such as MT4 or MT5 also allow access to a wide range of asset classes available for trading.The development of trading platforms over the past decade has failed to successfully dethrone MT4 or MT5, notably in the retail market. However, in institutional markets, brokerage companies and banking entities also construct and utilize proprietary currency trading platforms to help satisfy internal needs with trades executed through institutional trading channels.By far the most important parameter for many retail clients is the optionality and pairs available on trading platforms. Additionally, demand by traders has led to a greater emphasis on newer features such as advanced charting and other tools. In the FX space, a currency trading platform is a software provided by brokers to their respective client base, garnering access as traders in the broader market. Most commonly, this reflects an online interface or mobile app, complete with tools for order processing.Every broker needs one or more trading platforms to accommodate the needs of different clients. Being the backbone of the company’s offering, a trading platform provides clients with quotes, a selection of instruments to trade, real-time updates on quotes, charts and is the main frontend which customers are facing.Brokers either use existing trading platforms and sometimes customize them, or develop their own platform from scratch. Since the beginning of the retail FX trading business MetaQuotes and its platforms MetaTrader 4 (MT4) and MetaTrader 5 (MT5) have been the industry standard, especially when it comes to automated trading.MT4 Shows Resiliency While MT4 has long been seen as ubiquitous amongst brokers’ offerings, a targeted push by MetaQuotes themselves has led to broader adoption of MT5 in recent years. Advanced trading platforms such as MT4 or MT5 also allow access to a wide range of asset classes available for trading.The development of trading platforms over the past decade has failed to successfully dethrone MT4 or MT5, notably in the retail market. However, in institutional markets, brokerage companies and banking entities also construct and utilize proprietary currency trading platforms to help satisfy internal needs with trades executed through institutional trading channels.By far the most important parameter for many retail clients is the optionality and pairs available on trading platforms. Additionally, demand by traders has led to a greater emphasis on newer features such as advanced charting and other tools. Read this Term.
TipRanks has been aggressively expanding the market footprint of its Stock Analysis Tool-Kit in 2017 as part of an ongoing effort to provide new research and analysis capabilities to venues. Earlier this year, Nasdaq and Santander both assimilated the service into their respective offerings, giving TipRanks access to its largest client base to date.
TipRanks has carved out a niche as a provider of aggregated big financial data – such information is extremely important to a growing base of stock traders in the US and abroad. For its part, Interactive Brokers’ online trading platform will now feature TipRanks’ Stock Analysis Tool-Kit, which will enable traders to track the latest stock news sentiment and activity by the leading analysts.
Uri Gruenbaum, CEO of TipRanks, commented: “I am very proud about our new partnership with Interactive Brokers, one of the strongest brands in the industry. Many of our retail investors use IB as their execution platform and the new partnership will make their life easier and make our tools available to many new investors.”
Ratings and analysis from the 'Street'
In particular, the new partnership will include the adoption of TipRanks’ comprehensive financial analytics capabilities directly into Interactive Brokers’ platform. The toolkit offers stock ratings and price targets from a collection of ranked analysts as well as analyses of the latest news sentiment.
The challenge to date has not been the collection of large data streams but rather their processing – as such, the demand for a streamlined analysis tool is at a premium amongst brokers and other venues. The focus of the newly integrated offering will cover all equities listed in North America. TipRank’s Stock Analysis Tool-Kit is a departure from other proprietary NLP algorithms given its ability to process large swaths of analyst research, news and commentary.
“We are very excited about the partnership and look forward to bringing the latest interactive research tools to our customers. Big data and news analysis is increasingly seen as a fundamental part of investing research and now all our traders will have access to one of the best tools on the market,” explained Mr. Yochai Korn, Head of Market Data at Interactive Brokers LLC.