smartTrade Sees Strong Client Growth in 2017, Spurred by Regulatory Demand

smartTrade Technologies has continued to chart a positive course in 2017, spurred by demand for MiFID II compliant solutions and new regional expansions. The provider of multi-asset electronic trading solutions has also seen the strongest growth in the fixed income space, securing a range of new clientele throughout the calendar year.

2017 has been dictated by an industry-wide preparation for MiFID II solutions ahead of the January 3, 2018 deadline. smartTrade had already positioned itself to take advantage of this demand during the year, having previously rolled out and strengthened its own platform and solutions.

Indeed, this demand has also combined with a sustained interest for a flexible, innovative one-stop shop to increase 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 co 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 co Read this Term performance, replacing existing legacy solutions. Consequently, smartTrade Technologies has seen an uptick of growth – nowhere was this more evident than in its fixed income segment.

With regard to fixed income, the group has successfully secured a plethora of new clients, many of whom are seeking to gravitate towards advanced and agile solution to digitize their workflow. This has also resulted in an increased reliance on algos while complying with new regulations.

Growing client base

In addition, smartTrade Technologies has seen early returns from its opening of a new office in Milan as well, which has attracted a bourgeoning customer base in Southern Europe. Furthermore, the group managed to on-board new clients in multiple regions including Germany, Italy, Japan, North America, South Africa, and Switzerland during 2017.

David Vincent, CEO of smartTrade Technologies, commented on the growth: “The opening of our Milan office reflects our on-going commitment to always provide our clients with the best service possible.” smartTrade’s increasing client base occurred on both the buy-side and sell-side, though also through its diversification, including the addition of brokers such as Quantic, and regional banks such as BayernLB earlier this month.

The aforementioned initiatives followed on the heels of a big data offering launched at the tail end of 2016. Since then, smartAnalytics has been adopted by a variety of new and existing customers. The solution has been one of the more popular inclusions of smartTrade’s versatile offering, as clients with advanced trading 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. Analyt 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. Analyt Read this Term have been able to harness real-time and historical dashboards and reports.

“We are very pleased with this year's results. Our flexibility, reputation and capacity to deliver on time are key differentiating factors to attract new clients. Our teams are constantly working to make sure our existing clients are satisfied and have a partner to grow with,” added Mr. Vincent.