FlexTrade, an industry pioneer specializing in broker-neutral, execution and order management trading platforms, has hired Paul Beatty as a Director this month, according to market sources.
FlexTrade’s flagship platform for algorithmic trading, FlexTRADER, is widely known in the industry for its high-performance and multi-asset capability.
With offices in North America, Europe, and Asia, FlexTrade has a worldwide client base spanning more than 225 buy- and sell-side firms.
Beatty brings extensive market knowledge 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- as well as technical abilities to his new role.
Between 2018 and 2020, he was a Managing Director at technology provider Spotex and a Director at TP ICAP.
Spotex launched in 2014 with FX ECN-based technology built specifically to address shortcomings in existing systems and to provide new opportunities for market participants.
TP ICAP is a global firm of intermediaries that plays a pivotal role in the world’s financial, energy, and commodities markets.
Bloomberg Tradebook
Earlier in his career, Beatty spent 17 years as a Global Managing Director Tradebook FX at Bloomberg.
He designed and managed the global sales force for Bloomberg Tradebook FX and launched the first electronic anonymous FX 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 inside the Bloomberg ecosystem via a prime brokerage model with Bank of America Merril Lynch acting as the centralized Prime Broker.
Beatty developed sales and marketing strategies for financial institutions to facilitate product and goal achievements.
In 2017, Bloomberg Tradebook confirmed the closure of its anonymous FX ECN in order to concentrate on dealer-to-client (D2C) FX.
FlexTrade, an industry pioneer specializing in broker-neutral, execution and order management trading platforms, has hired Paul Beatty as a Director this month, according to market sources.
FlexTrade’s flagship platform for algorithmic trading, FlexTRADER, is widely known in the industry for its high-performance and multi-asset capability.
With offices in North America, Europe, and Asia, FlexTrade has a worldwide client base spanning more than 225 buy- and sell-side firms.
Beatty brings extensive market knowledge 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- as well as technical abilities to his new role.
Between 2018 and 2020, he was a Managing Director at technology provider Spotex and a Director at TP ICAP.
Spotex launched in 2014 with FX ECN-based technology built specifically to address shortcomings in existing systems and to provide new opportunities for market participants.
TP ICAP is a global firm of intermediaries that plays a pivotal role in the world’s financial, energy, and commodities markets.
Bloomberg Tradebook
Earlier in his career, Beatty spent 17 years as a Global Managing Director Tradebook FX at Bloomberg.
He designed and managed the global sales force for Bloomberg Tradebook FX and launched the first electronic anonymous FX 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 inside the Bloomberg ecosystem via a prime brokerage model with Bank of America Merril Lynch acting as the centralized Prime Broker.
Beatty developed sales and marketing strategies for financial institutions to facilitate product and goal achievements.
In 2017, Bloomberg Tradebook confirmed the closure of its anonymous FX ECN in order to concentrate on dealer-to-client (D2C) FX.
