The retail industry is a continually evolving landscape as traders demand more from brokers, setting new standards and base lines.
Satisfying such demands and providing added value to traders can take various forms, such as education portals, advanced data and analysis, and real-time updates.
These tactics may sometimes require integrations with new technology providers,but can add significant value, create differentiation and increase customer loyalty.
However, while these updates and developments encourage clients to continue to trade and stay engaged with the broker, one must not forget the basics – creating the best customer experience, by communicating at the right time, at the right channel, and in the most relevant context for each trader.
It is customer demands who underly the acute need for brokers to adjust and adopt new technologies to improve their services: In order to enable personalized automated engagements, organizations must make use of their most valuable asset, their data.
But making data usable is usually a hefty project that demands many months and sizable budgets, leaving organizations reluctant to embark upon such an extensive effort.
These technological limitations further stress the need for an easy, swift, data integration process, enabling brokers to engage with their customers easily and effectively, when it matters most.
Getting the Most Out of Your Platform
Most traders are well versed with the constraints and advantages of their brokers’ platform and interface. For most, simply the minimum requirements had often been satisfactory.Until now.
Traders are now looking for the latest innovations, values and benefits as they aim to improve their experience across the trading lifecycle.
No company appreciates this strategic outlook more than Solitics, a real-time data-driven customer engagement & 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 platform.
The past year has seen Solitics unveil several new features to its platform, that aimsto cater specifically to brokers looking to strengthen key marketing channels.
Solitics’ platform enables brokers to utilize their data for various business aspects, without a long, expensive, and complex data project.
In addition, Solitics’ integration with third-party content providers has helped enable brokers to provide a unique added value to their traders who need real time information on the commodities they invest in.
This includes third-party tools like Trading Central, AutoChartist, and SignalCentre that can provide advanced data, and are already integrated with Solitics, making it easy for brokers to alert their traders of the recent market changes and updates in real time.
Additionally, Solitics also supports live contextual pop-up messages on the MT4 and MT5 desktop apps.
Such capabilities in real time data management, Automation
Automation
Automation is defined as the procedure of making an apparatus, a process, or a system to operate by mechanical or electronic devices that replace human labor. Additionally, automation is also sometimes referred to as mechanization or robotization. For example, employees have many costly needs, including government regulations. However, robotic workers don’t need much other than some routine maintenance and the occasional bug fix for an equipment malfunction or software bug. There is no overtime and no holidays. Many employers are purchasing robots to take the place of many of their employees that do repetitive or programmable activities. Robotic worked offers high rates of productivity and no need to worry about human resources regulations. Robots are a worthwhile investment. Automation in FinanceIn finance, automation is the use of software and computers to automate essential finance-related tasks. Financial businesses have adopted and promoted the use of new artificial intelligence (AI) technologies. In the early days, AI focused on labor arbitrage and shared services, but fintech soon recognized that process standardization was easily adaptable and could increase their efficiencies. In no time, computer savvy investors and brokers began developing and implementing automated trading systems and market scanners. These automated trading systems are programs that allow investors to set rules for entering and exiting trades. Traders and investors can turn exact entry, exit, and money management rules into automated trading systems that enable computers to perform and monitor transactions. Once those rules are programmed, a computer can automatically process and open trades based on the limitations built into the program.
Automation is defined as the procedure of making an apparatus, a process, or a system to operate by mechanical or electronic devices that replace human labor. Additionally, automation is also sometimes referred to as mechanization or robotization. For example, employees have many costly needs, including government regulations. However, robotic workers don’t need much other than some routine maintenance and the occasional bug fix for an equipment malfunction or software bug. There is no overtime and no holidays. Many employers are purchasing robots to take the place of many of their employees that do repetitive or programmable activities. Robotic worked offers high rates of productivity and no need to worry about human resources regulations. Robots are a worthwhile investment. Automation in FinanceIn finance, automation is the use of software and computers to automate essential finance-related tasks. Financial businesses have adopted and promoted the use of new artificial intelligence (AI) technologies. In the early days, AI focused on labor arbitrage and shared services, but fintech soon recognized that process standardization was easily adaptable and could increase their efficiencies. In no time, computer savvy investors and brokers began developing and implementing automated trading systems and market scanners. These automated trading systems are programs that allow investors to set rules for entering and exiting trades. Traders and investors can turn exact entry, exit, and money management rules into automated trading systems that enable computers to perform and monitor transactions. Once those rules are programmed, a computer can automatically process and open trades based on the limitations built into the program.
Read this Term, and personalization present a wide range of new opportunities for brokers to increase engagement and generate substantial revenue uplifts.
Solitics Separating Themselves from the Pack
Looking ahead in 2021, the premium that marketers are giving to real-time customer journeys, dynamic segmentation and content has never been higher.
As such, Solitics is strategically positioned to deliver on this trend. The company is continuing its mission to change the way B2C organizations utilize and harness their data to create personal customer experience for their respective clients.
Solitics’ platform was specifically engineered to meet the trading industry’s evolving needs. The company’s advanced solutions help link up all the distributed data sources, reconciling raw data and respond to any data update or change in real-time.
Furthermore, Solitics’ combination of marketing and communication channels creates a powerful automation and personalization tool.
Brokers have come to rely on this, as it enables trading companies to respond personally and contextually to each trader within seconds.
Whatever the next innovation or challenge is in the industry, Solitics is making the impossible happen through one intuitive platform.
See what Solitics can do for you by requesting a demo here.
The retail industry is a continually evolving landscape as traders demand more from brokers, setting new standards and base lines.
Satisfying such demands and providing added value to traders can take various forms, such as education portals, advanced data and analysis, and real-time updates.
These tactics may sometimes require integrations with new technology providers,but can add significant value, create differentiation and increase customer loyalty.
However, while these updates and developments encourage clients to continue to trade and stay engaged with the broker, one must not forget the basics – creating the best customer experience, by communicating at the right time, at the right channel, and in the most relevant context for each trader.
It is customer demands who underly the acute need for brokers to adjust and adopt new technologies to improve their services: In order to enable personalized automated engagements, organizations must make use of their most valuable asset, their data.
But making data usable is usually a hefty project that demands many months and sizable budgets, leaving organizations reluctant to embark upon such an extensive effort.
These technological limitations further stress the need for an easy, swift, data integration process, enabling brokers to engage with their customers easily and effectively, when it matters most.
Getting the Most Out of Your Platform
Most traders are well versed with the constraints and advantages of their brokers’ platform and interface. For most, simply the minimum requirements had often been satisfactory.Until now.
Traders are now looking for the latest innovations, values and benefits as they aim to improve their experience across the trading lifecycle.
No company appreciates this strategic outlook more than Solitics, a real-time data-driven customer engagement & 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 platform.
The past year has seen Solitics unveil several new features to its platform, that aimsto cater specifically to brokers looking to strengthen key marketing channels.
Solitics’ platform enables brokers to utilize their data for various business aspects, without a long, expensive, and complex data project.
In addition, Solitics’ integration with third-party content providers has helped enable brokers to provide a unique added value to their traders who need real time information on the commodities they invest in.
This includes third-party tools like Trading Central, AutoChartist, and SignalCentre that can provide advanced data, and are already integrated with Solitics, making it easy for brokers to alert their traders of the recent market changes and updates in real time.
Additionally, Solitics also supports live contextual pop-up messages on the MT4 and MT5 desktop apps.
Such capabilities in real time data management, Automation
Automation
Automation is defined as the procedure of making an apparatus, a process, or a system to operate by mechanical or electronic devices that replace human labor. Additionally, automation is also sometimes referred to as mechanization or robotization. For example, employees have many costly needs, including government regulations. However, robotic workers don’t need much other than some routine maintenance and the occasional bug fix for an equipment malfunction or software bug. There is no overtime and no holidays. Many employers are purchasing robots to take the place of many of their employees that do repetitive or programmable activities. Robotic worked offers high rates of productivity and no need to worry about human resources regulations. Robots are a worthwhile investment. Automation in FinanceIn finance, automation is the use of software and computers to automate essential finance-related tasks. Financial businesses have adopted and promoted the use of new artificial intelligence (AI) technologies. In the early days, AI focused on labor arbitrage and shared services, but fintech soon recognized that process standardization was easily adaptable and could increase their efficiencies. In no time, computer savvy investors and brokers began developing and implementing automated trading systems and market scanners. These automated trading systems are programs that allow investors to set rules for entering and exiting trades. Traders and investors can turn exact entry, exit, and money management rules into automated trading systems that enable computers to perform and monitor transactions. Once those rules are programmed, a computer can automatically process and open trades based on the limitations built into the program.
Automation is defined as the procedure of making an apparatus, a process, or a system to operate by mechanical or electronic devices that replace human labor. Additionally, automation is also sometimes referred to as mechanization or robotization. For example, employees have many costly needs, including government regulations. However, robotic workers don’t need much other than some routine maintenance and the occasional bug fix for an equipment malfunction or software bug. There is no overtime and no holidays. Many employers are purchasing robots to take the place of many of their employees that do repetitive or programmable activities. Robotic worked offers high rates of productivity and no need to worry about human resources regulations. Robots are a worthwhile investment. Automation in FinanceIn finance, automation is the use of software and computers to automate essential finance-related tasks. Financial businesses have adopted and promoted the use of new artificial intelligence (AI) technologies. In the early days, AI focused on labor arbitrage and shared services, but fintech soon recognized that process standardization was easily adaptable and could increase their efficiencies. In no time, computer savvy investors and brokers began developing and implementing automated trading systems and market scanners. These automated trading systems are programs that allow investors to set rules for entering and exiting trades. Traders and investors can turn exact entry, exit, and money management rules into automated trading systems that enable computers to perform and monitor transactions. Once those rules are programmed, a computer can automatically process and open trades based on the limitations built into the program.
Read this Term, and personalization present a wide range of new opportunities for brokers to increase engagement and generate substantial revenue uplifts.
Solitics Separating Themselves from the Pack
Looking ahead in 2021, the premium that marketers are giving to real-time customer journeys, dynamic segmentation and content has never been higher.
As such, Solitics is strategically positioned to deliver on this trend. The company is continuing its mission to change the way B2C organizations utilize and harness their data to create personal customer experience for their respective clients.
Solitics’ platform was specifically engineered to meet the trading industry’s evolving needs. The company’s advanced solutions help link up all the distributed data sources, reconciling raw data and respond to any data update or change in real-time.
Furthermore, Solitics’ combination of marketing and communication channels creates a powerful automation and personalization tool.
Brokers have come to rely on this, as it enables trading companies to respond personally and contextually to each trader within seconds.
Whatever the next innovation or challenge is in the industry, Solitics is making the impossible happen through one intuitive platform.
See what Solitics can do for you by requesting a demo here.