Tradency, a fintech
Fintech
Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices.
Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices.
Read this Term firm specializing in mirror trading and algorithmic trading platforms, announced on Monday the expansion of its fintech-platform as a service (F-PaaS) technology outsourcing offering.
According to the press release, as part of its F-PaaS platform, Tradency’s trading engines were added to the F-PaaS offering and are now integrated into a wide range of applications through easy-to-understand, use, and maintain APIs. In addition, Tradency’s engineering team also provides custom integration and project development services as part of F-PaaS technology offerings.
“Tradency crowdsourcing and real-time distribution technology have been a core value to our product offering and services since its introduction in 2005. And, now we are adding its capabilities to our F-PaaS and demonstrating it in new applications in various market segments, such as a USA-based predictive cash-flow Robo-advisor or an Asian Cryptocurrency social trading. We are committed to expanding the reach, using our rewarded technology, reinforcing our position as a leading provider of trading technology,” Lior Nabat, CEO of Tradency, commented.
Using Docker Linux containers with Go and .Net Core technologies, Tradency F-PaaS technology uses cloud
Cloud
The cloud or cloud computing helps provides data and applications that can be accessed from nearly any location in the world so long as a stable Internet connection exists. Categorized into three cloud services, cloud computing is segmented into Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). In terms of trading, the versatility of the cloud service allows retail traders the ability to test out new trading strategies, backtest pre-existing concepts performing run time series analysis (or trend analysis), and execute trades in real-time.Advantages of Cloud Computing in TradingAn advantage that stems from cloud computing would be that entities don’t need to construct a data center infrastructure themselves.Instead, entities can conduct trials and perform refinements, and should no solutions pan out then the cloud may be shut down while the payment terminated at the same time. This methodology of renting virtual space and time in cloud tends to be far more appealing than the costs, time, and resources required with constructing hardware and software infrastructures.These also happen to be the exact concept used in SaaS with trading related software.While executing trades via the cloud is an important capability to keep intact, most retail traders are drawn to the cloud for the research, backtesting, and analytics advantages that stem from using the cloud. In forex, traders that use Expert Advisors (EAs) and automated trading software are uploading their solutions onto a broker’s cloud account. The cloud is an ecosystem for multiple industries, sectors, and niches. Its versatility has not been peaked while in trading many retail traders are transitioning to cloud computing as a means to reduce expenditures, optimize efficiency, and maximize available resources.
The cloud or cloud computing helps provides data and applications that can be accessed from nearly any location in the world so long as a stable Internet connection exists. Categorized into three cloud services, cloud computing is segmented into Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). In terms of trading, the versatility of the cloud service allows retail traders the ability to test out new trading strategies, backtest pre-existing concepts performing run time series analysis (or trend analysis), and execute trades in real-time.Advantages of Cloud Computing in TradingAn advantage that stems from cloud computing would be that entities don’t need to construct a data center infrastructure themselves.Instead, entities can conduct trials and perform refinements, and should no solutions pan out then the cloud may be shut down while the payment terminated at the same time. This methodology of renting virtual space and time in cloud tends to be far more appealing than the costs, time, and resources required with constructing hardware and software infrastructures.These also happen to be the exact concept used in SaaS with trading related software.While executing trades via the cloud is an important capability to keep intact, most retail traders are drawn to the cloud for the research, backtesting, and analytics advantages that stem from using the cloud. In forex, traders that use Expert Advisors (EAs) and automated trading software are uploading their solutions onto a broker’s cloud account. The cloud is an ecosystem for multiple industries, sectors, and niches. Its versatility has not been peaked while in trading many retail traders are transitioning to cloud computing as a means to reduce expenditures, optimize efficiency, and maximize available resources.
Read this Term-based architecture for scalability, resiliency, and infrastructure observability based on CNCF (Cloud Native Computing Foundation) open-source projects, including Kubernetes, Prometheus, GRPC, and Jeager.
The new APIs and Professional Services expand the basic F-PaaS offering, which includes hosting and operational maintenance, high availability, scalability, real-time trading execution and content management.
Tradency products, the Mirror Trader, RoboX and Smart Investor platforms are used by millions of end-users globally.
Tradency in Japan
In 2018, TOCOM, the Tokyo Commodity Exchange, announced that four Japanese commodity brokers introduced Tradency’s RoboX for commodity futures. RoboX is a robo-advisor equipped with artificial intelligence (AI) and automatic trading functions. Using an algorithm, the AI creates bespoke packages of trading strategies and ensures it is constantly updated.
RoboX provides investors with multiple investment strategies tailored to different levels of risk tolerance.
Tradency, a fintech
Fintech
Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices.
Financial Technology (fintech) is defined as ay technology that is geared towards automating and enhancing the delivery and application of financial services. The origin of the term fintechs can be traced back to the 1990s where it was primarily used as a back-end system technology for renowned financial institutions. However, it has since grown outside the business sector with an increased focus upon consumer services.What Purpose Do Fintechs Serve?The main purpose of fintechs would be to supply a technological service that not only simplifies but also aids consumers, business operators, and networks.This is done by optimizing business processes and financial operations through the implementation of specialized software, algorithms, and automated computing processes. Transitioning from the roots of the financial sector, fintech providers can be found through a multitude of industries such as retail banking, education, cryptocurrencies, insurance, nonprofit, and more. While fintechs cover a vast array of business sectors, it can be broken down into four classifications which are as followed: Business-to-business for banks, Business-to-business for banking business clients, business-to-consumers for small businesses, and consumers. More recently, fintechs presence has become increasingly apparent within the trading sector, primarily for cryptocurrencies and blockchain technology.The creation and use of Bitcoin can also be contributed to innovations brought upon by fintechs while smart contracts through blockchain technology have simplified and automated contracts between buyers and sellers. As a whole, fintechs applications are growing more diverse with a consumer-centric focus while its applications continue to innovate the trading and cryptocurrency sectors through automated technologies and business practices.
Read this Term firm specializing in mirror trading and algorithmic trading platforms, announced on Monday the expansion of its fintech-platform as a service (F-PaaS) technology outsourcing offering.
According to the press release, as part of its F-PaaS platform, Tradency’s trading engines were added to the F-PaaS offering and are now integrated into a wide range of applications through easy-to-understand, use, and maintain APIs. In addition, Tradency’s engineering team also provides custom integration and project development services as part of F-PaaS technology offerings.
“Tradency crowdsourcing and real-time distribution technology have been a core value to our product offering and services since its introduction in 2005. And, now we are adding its capabilities to our F-PaaS and demonstrating it in new applications in various market segments, such as a USA-based predictive cash-flow Robo-advisor or an Asian Cryptocurrency social trading. We are committed to expanding the reach, using our rewarded technology, reinforcing our position as a leading provider of trading technology,” Lior Nabat, CEO of Tradency, commented.
Using Docker Linux containers with Go and .Net Core technologies, Tradency F-PaaS technology uses cloud
Cloud
The cloud or cloud computing helps provides data and applications that can be accessed from nearly any location in the world so long as a stable Internet connection exists. Categorized into three cloud services, cloud computing is segmented into Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). In terms of trading, the versatility of the cloud service allows retail traders the ability to test out new trading strategies, backtest pre-existing concepts performing run time series analysis (or trend analysis), and execute trades in real-time.Advantages of Cloud Computing in TradingAn advantage that stems from cloud computing would be that entities don’t need to construct a data center infrastructure themselves.Instead, entities can conduct trials and perform refinements, and should no solutions pan out then the cloud may be shut down while the payment terminated at the same time. This methodology of renting virtual space and time in cloud tends to be far more appealing than the costs, time, and resources required with constructing hardware and software infrastructures.These also happen to be the exact concept used in SaaS with trading related software.While executing trades via the cloud is an important capability to keep intact, most retail traders are drawn to the cloud for the research, backtesting, and analytics advantages that stem from using the cloud. In forex, traders that use Expert Advisors (EAs) and automated trading software are uploading their solutions onto a broker’s cloud account. The cloud is an ecosystem for multiple industries, sectors, and niches. Its versatility has not been peaked while in trading many retail traders are transitioning to cloud computing as a means to reduce expenditures, optimize efficiency, and maximize available resources.
The cloud or cloud computing helps provides data and applications that can be accessed from nearly any location in the world so long as a stable Internet connection exists. Categorized into three cloud services, cloud computing is segmented into Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). In terms of trading, the versatility of the cloud service allows retail traders the ability to test out new trading strategies, backtest pre-existing concepts performing run time series analysis (or trend analysis), and execute trades in real-time.Advantages of Cloud Computing in TradingAn advantage that stems from cloud computing would be that entities don’t need to construct a data center infrastructure themselves.Instead, entities can conduct trials and perform refinements, and should no solutions pan out then the cloud may be shut down while the payment terminated at the same time. This methodology of renting virtual space and time in cloud tends to be far more appealing than the costs, time, and resources required with constructing hardware and software infrastructures.These also happen to be the exact concept used in SaaS with trading related software.While executing trades via the cloud is an important capability to keep intact, most retail traders are drawn to the cloud for the research, backtesting, and analytics advantages that stem from using the cloud. In forex, traders that use Expert Advisors (EAs) and automated trading software are uploading their solutions onto a broker’s cloud account. The cloud is an ecosystem for multiple industries, sectors, and niches. Its versatility has not been peaked while in trading many retail traders are transitioning to cloud computing as a means to reduce expenditures, optimize efficiency, and maximize available resources.
Read this Term-based architecture for scalability, resiliency, and infrastructure observability based on CNCF (Cloud Native Computing Foundation) open-source projects, including Kubernetes, Prometheus, GRPC, and Jeager.
The new APIs and Professional Services expand the basic F-PaaS offering, which includes hosting and operational maintenance, high availability, scalability, real-time trading execution and content management.
Tradency products, the Mirror Trader, RoboX and Smart Investor platforms are used by millions of end-users globally.
Tradency in Japan
In 2018, TOCOM, the Tokyo Commodity Exchange, announced that four Japanese commodity brokers introduced Tradency’s RoboX for commodity futures. RoboX is a robo-advisor equipped with artificial intelligence (AI) and automatic trading functions. Using an algorithm, the AI creates bespoke packages of trading strategies and ensures it is constantly updated.
RoboX provides investors with multiple investment strategies tailored to different levels of risk tolerance.
Source: https://www.financemagnates.com/fintech/trading/tradency-expands-its-f-paas-offering/