Thomson Reuters has teamed up with Tradeweb to roll out a new suite of reporting services, helping support market participants ahead of the passage of Markets in Financial Instruments Directive II (MiFID II) legislation.
The partnership represents the latest deployment by key industry players of a MiFID II-focused solution, which will help support the workflow of market participants in their aggregated efforts to meet regulatory obligations under the new legislation in 2018.
Unified Effort
Ahead of new regulations, Thomson Reuters has been working with over fifty European exchanges and more than thirty venues to facilitate new MiFID II content to its Elektron Data Platform. Its efforts have also helped provide a pool of test data to market participants to help prep their systems for the a wide range of new requirements and functions.
In particular, Thomson Reuters’ new suite-tailored services suite MiFID II includes multi-asset best Execution
Execution
Execution is the process during which a client submits an order to the brokerage, which consequently executes it resulting in an open position in a given asset. The execution of the order occurs only when it is filled. There is typically a time delay between the placement of the order and the execution which is called latency.In the retail FX space, reliable brokers always strive to deliver best execution to their clients in order to maintain a solid business relationship with them. This is a common marketing point of emphasis by brokers, whose action execution varies considerably from company to company. When execution prices are not matching the submitted price the client is charged or credited the difference resulting from the negative or positive slippage.Slippage is a very contentious issue among retail traders, which can lead to issues. Many traders view levels of slippage at brokers as a key determinant for their business. Best Execution a Legal ObligationBrokers are required by law to diver to their clients the best execution possible. Some regulators are requiring brokers to submit execution stats in order to assess the quality of their services. Other brokers are regularly posting execution statistics in order to boost the confidence of their clients in the best execution commitment of the company.Best execution has been a point of emphasis in recent years from both retail and institutional players in the FX industry. Negotiating and executing transactions in order to promote a robust, fair, open, liquid and appropriately transparent FX market is identified as one of the six main principles outlined in the FX Global Code of Conduct, which came into effect in 2018.
Execution is the process during which a client submits an order to the brokerage, which consequently executes it resulting in an open position in a given asset. The execution of the order occurs only when it is filled. There is typically a time delay between the placement of the order and the execution which is called latency.In the retail FX space, reliable brokers always strive to deliver best execution to their clients in order to maintain a solid business relationship with them. This is a common marketing point of emphasis by brokers, whose action execution varies considerably from company to company. When execution prices are not matching the submitted price the client is charged or credited the difference resulting from the negative or positive slippage.Slippage is a very contentious issue among retail traders, which can lead to issues. Many traders view levels of slippage at brokers as a key determinant for their business. Best Execution a Legal ObligationBrokers are required by law to diver to their clients the best execution possible. Some regulators are requiring brokers to submit execution stats in order to assess the quality of their services. Other brokers are regularly posting execution statistics in order to boost the confidence of their clients in the best execution commitment of the company.Best execution has been a point of emphasis in recent years from both retail and institutional players in the FX industry. Negotiating and executing transactions in order to promote a robust, fair, open, liquid and appropriately transparent FX market is identified as one of the six main principles outlined in the FX Global Code of Conduct, which came into effect in 2018.
Read this Term, SI (Systematic Internaliser) determination, research valuation, market data aggregation and bespoke reference data services.
Furthermore, the group’s combined efforts with Tradeweb are targeting APA (Approved Publication Arrangement) services, entailing such capabilities as data collection, monitoring, validation, exception processing, and management information statistics, among others.
Symbiotic Relationship
Finally, Thomson Reuters’ Elektron customers will be able to connect directly to Velocity 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, data feeds and trades reported through Tradeweb’s APA by utilizing the MiFID II services.
According to Deb Walton, Global Managing Director, Customer Proposition at Thomson Reuters, in a statement on the rollout: “MiFID II is an enormous implementation effort for our customers and we fully appreciate the pressure they are under to achieve compliance by the end of the year.”
“By engaging with leading market participants, we have ensured that our new MiFID II services have been built by the industry for the industry and provide the most cost-efficient and expedient path to MiFID II compliance,” she added.
“Tradeweb’s proven track record of delivering comprehensive and flexible solutions for regulatory compliance, coupled with our collaboration with Thomson Reuters, means that we are able to provide a more compelling and complete APA service,” noted Simon Maisey, Managing Director and Global Head of Business Development at Tradeweb.
Thomson Reuters has teamed up with Tradeweb to roll out a new suite of reporting services, helping support market participants ahead of the passage of Markets in Financial Instruments Directive II (MiFID II) legislation.
The partnership represents the latest deployment by key industry players of a MiFID II-focused solution, which will help support the workflow of market participants in their aggregated efforts to meet regulatory obligations under the new legislation in 2018.
Unified Effort
Ahead of new regulations, Thomson Reuters has been working with over fifty European exchanges and more than thirty venues to facilitate new MiFID II content to its Elektron Data Platform. Its efforts have also helped provide a pool of test data to market participants to help prep their systems for the a wide range of new requirements and functions.
In particular, Thomson Reuters’ new suite-tailored services suite MiFID II includes multi-asset best Execution
Execution
Execution is the process during which a client submits an order to the brokerage, which consequently executes it resulting in an open position in a given asset. The execution of the order occurs only when it is filled. There is typically a time delay between the placement of the order and the execution which is called latency.In the retail FX space, reliable brokers always strive to deliver best execution to their clients in order to maintain a solid business relationship with them. This is a common marketing point of emphasis by brokers, whose action execution varies considerably from company to company. When execution prices are not matching the submitted price the client is charged or credited the difference resulting from the negative or positive slippage.Slippage is a very contentious issue among retail traders, which can lead to issues. Many traders view levels of slippage at brokers as a key determinant for their business. Best Execution a Legal ObligationBrokers are required by law to diver to their clients the best execution possible. Some regulators are requiring brokers to submit execution stats in order to assess the quality of their services. Other brokers are regularly posting execution statistics in order to boost the confidence of their clients in the best execution commitment of the company.Best execution has been a point of emphasis in recent years from both retail and institutional players in the FX industry. Negotiating and executing transactions in order to promote a robust, fair, open, liquid and appropriately transparent FX market is identified as one of the six main principles outlined in the FX Global Code of Conduct, which came into effect in 2018.
Execution is the process during which a client submits an order to the brokerage, which consequently executes it resulting in an open position in a given asset. The execution of the order occurs only when it is filled. There is typically a time delay between the placement of the order and the execution which is called latency.In the retail FX space, reliable brokers always strive to deliver best execution to their clients in order to maintain a solid business relationship with them. This is a common marketing point of emphasis by brokers, whose action execution varies considerably from company to company. When execution prices are not matching the submitted price the client is charged or credited the difference resulting from the negative or positive slippage.Slippage is a very contentious issue among retail traders, which can lead to issues. Many traders view levels of slippage at brokers as a key determinant for their business. Best Execution a Legal ObligationBrokers are required by law to diver to their clients the best execution possible. Some regulators are requiring brokers to submit execution stats in order to assess the quality of their services. Other brokers are regularly posting execution statistics in order to boost the confidence of their clients in the best execution commitment of the company.Best execution has been a point of emphasis in recent years from both retail and institutional players in the FX industry. Negotiating and executing transactions in order to promote a robust, fair, open, liquid and appropriately transparent FX market is identified as one of the six main principles outlined in the FX Global Code of Conduct, which came into effect in 2018.
Read this Term, SI (Systematic Internaliser) determination, research valuation, market data aggregation and bespoke reference data services.
Furthermore, the group’s combined efforts with Tradeweb are targeting APA (Approved Publication Arrangement) services, entailing such capabilities as data collection, monitoring, validation, exception processing, and management information statistics, among others.
Symbiotic Relationship
Finally, Thomson Reuters’ Elektron customers will be able to connect directly to Velocity 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, data feeds and trades reported through Tradeweb’s APA by utilizing the MiFID II services.
According to Deb Walton, Global Managing Director, Customer Proposition at Thomson Reuters, in a statement on the rollout: “MiFID II is an enormous implementation effort for our customers and we fully appreciate the pressure they are under to achieve compliance by the end of the year.”
“By engaging with leading market participants, we have ensured that our new MiFID II services have been built by the industry for the industry and provide the most cost-efficient and expedient path to MiFID II compliance,” she added.
“Tradeweb’s proven track record of delivering comprehensive and flexible solutions for regulatory compliance, coupled with our collaboration with Thomson Reuters, means that we are able to provide a more compelling and complete APA service,” noted Simon Maisey, Managing Director and Global Head of Business Development at Tradeweb.
