Chinese-based financial group, TF International Securities Group Ltd today announced a partnership to integrate FlexTrade’s order management solution, FlexOMS.
As part of the FlexOMS migration, TFI International’s clients can access the OMS’ functionality, which offers DMA and DSA workflows, a customizable 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 management system (EMS) with pre-defined trading strategies and tactics for portfolio and single stock trading.
TFI, which provides institutional brokerage services to trade in equities on the Hong Kong Stock Exchange, has already gone live on FlexOMS’s new middle office system MOS. FlexTrade’s smart order router allows the firm to control the routing sequence they want to target across both dark and lit venues.
Designed as a multi-asset platform, FlexOMS provides sell-side institutions with an end-to-end solution across multiple desks, trading styles and regions, and streamlines the trading process from receipt of client orders to the post-trade 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 of execution.
The multi-asset execution management system can be tailored for global access to broker algorithms, as well as the ability to build proprietary algorithms.
FlexTrade’s product suite offers access to market data providers while easily integrating with any order management system (OMS) via FIX and API. Global investment managers prefer the solution since the consolidation of equities, FX, listed options, futures or any combination is essential on the same platform in order to ensure smooth functioning.
Commenting on the news, River Ho, Executive Director at TFI stated: “As a result of SSEOMS decommissioning, and after having evaluated a few leading OMS systems, TFI selected FlexTrade because of its advanced functionalities, its flexibility and reliable trading technology. FlexTrade has proven to provide us with a very quick delivery of their trading solution and excellent service alongside. We look forward to FlexOMS providing us with an augmented efficiency and execution quality in our trading workflow.”
FlexTrade Co-Founder, Rajiv Kedia noted: “We are thrilled to partner with TF International to expand our OMS offerings in APAC and are committed to providing the same level of excellent customer support and cutting-edge technology that we are known for globally. We look forward to working with TFI to help provide flexible and reliable technology solutions to address their expanding business requirements.”
Chinese-based financial group, TF International Securities Group Ltd today announced a partnership to integrate FlexTrade’s order management solution, FlexOMS.
As part of the FlexOMS migration, TFI International’s clients can access the OMS’ functionality, which offers DMA and DSA workflows, a customizable 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 management system (EMS) with pre-defined trading strategies and tactics for portfolio and single stock trading.
TFI, which provides institutional brokerage services to trade in equities on the Hong Kong Stock Exchange, has already gone live on FlexOMS’s new middle office system MOS. FlexTrade’s smart order router allows the firm to control the routing sequence they want to target across both dark and lit venues.
Designed as a multi-asset platform, FlexOMS provides sell-side institutions with an end-to-end solution across multiple desks, trading styles and regions, and streamlines the trading process from receipt of client orders to the post-trade 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 of execution.
The multi-asset execution management system can be tailored for global access to broker algorithms, as well as the ability to build proprietary algorithms.
FlexTrade’s product suite offers access to market data providers while easily integrating with any order management system (OMS) via FIX and API. Global investment managers prefer the solution since the consolidation of equities, FX, listed options, futures or any combination is essential on the same platform in order to ensure smooth functioning.
Commenting on the news, River Ho, Executive Director at TFI stated: “As a result of SSEOMS decommissioning, and after having evaluated a few leading OMS systems, TFI selected FlexTrade because of its advanced functionalities, its flexibility and reliable trading technology. FlexTrade has proven to provide us with a very quick delivery of their trading solution and excellent service alongside. We look forward to FlexOMS providing us with an augmented efficiency and execution quality in our trading workflow.”
FlexTrade Co-Founder, Rajiv Kedia noted: “We are thrilled to partner with TF International to expand our OMS offerings in APAC and are committed to providing the same level of excellent customer support and cutting-edge technology that we are known for globally. We look forward to working with TFI to help provide flexible and reliable technology solutions to address their expanding business requirements.”