Headquartered in Munich, Germany, Devexperts was founded in 2002 and specializes in the development of highly sophisticated software solutions and services for the global capital markets industry. Our clients are retail and institutional brokerage houses, exchanges and buy-side firms.
dxFeed is a subsidiary of Devexperts, with the primary focus of delivering financial markets information and services to buy-side and sell-side institutions of the global financial industry, specifically to traders, data analysts, quants and portfolio managers.
dxTUR is Devexperts’ trading platform, which can be adaptod to every financial institution and market, supporting iOS, Android and Web HTML5, and can be scaled up to support millions of end users.
Clients or members can login to the platform and buy market data packages of their choice, through application market places or other custom designed payment systems.
Our trading platforms are designed to support different channels. The end users can follow the markets with shared watchlists, use the same data packages and access the same markets, from Mobile and web GUIs.
End users can read and write comments on the instruments, which they are interested. It is possible to display these comments can be displayed based on client groups, or customer representatives, moderated by admin users.
Our platforms can be scaled up to support millions of end users, deliver and store terabytes of data every day, through our unparalleled portfolio of data solutions.
dxTUR, is a customized version of Devexperts’ Trading Platform, dxTrade, for the Turkish Markets. dxTUR is licenced from Antalya Teknokent and is supported by Turkish Engineers.
dxTur, with its mobile and web GUIs promises full integration to bank and brokerage house backends, CRM systems.
dxTUR helps digital marketers drive growth. From customer acquisition to activation, retention to revenue dxTUR gathers all information under one platform.
Powered by AI and Machine Learning dxTUR leverages the real time predictive segmentation of portfolios and financial transactions.
As Fintech evolves, financial institutions adopt the way they do business. In the old times, business models depending on opening new branches, relying on more human and personnel, are replaced by technology investments.
On 14th of November, the second day of Capital Markets Summit, Michael Babushkin will be attending the Panel Session 16, which is expected to take place between 13:30 - 14:30 in the Room A.
Participation is free of charge. Participants should register from the official website of the organization.
Founder & CEO
Michael founded Devexperts in 2002 and has grown the company to the leading IT house in the online trading space with over 400 people doing sophisticated online trading, mobile, back office, order- and risk-management systems and online electronic exchanges.
The company has won numerous awards from among others Barron’s, Deloitte, Stockbrokers.com, for many of its achievements, including Ameritrade’s (NASDAQ: AMTD) thinkorswim® platform and Gain Capital(NYSE: GCAP ) DealBook® 360.
AI and robots, can be analyzing all data related to customer engagement in all platforms. A large number of investors, can simultaneously receive personalized investment advisory services, portfolio analysis, can follow price and news and execute orders instantly. Services based on Chatbot, enable investors to open accounts easily, set investment preferences as if they are talking with their friends. We will see new applications like Augmented Reality powered with AI and Bots and it will help investors’ decision taking process.
Identifying customers’ needs will be the major function of the financial institutions. The sub set of this function will include, collection the required data, compare it with the real life and market data, clustering with similar investor profiles and finally, matching the investor with appropriate investment instruments.
Big Data systems are able to query certain conditions, over a very large number of clients, very large number of instruments, a very large range of historical data, very fast. On such systems, required conditions can trigger instant orders, which no human being can achieve, manually.
Data feedback and behavioral change intervention can definitely help customers with their choices: big data systems can constantly look for conditions, which will be suitable for customers’ previous actions. This kind of approach is “less manipulative” when compared to human advisory.
If we define internet, as a network of platforms which the customers are in contact with, through semantic analysis, it is now possible to understand if the customers are nervous, tend to make good decisions, etc.
Mathematically it is impossible to model the return on an instrument. On the contrary it is 100% possible to model the risk of the portfolio. Statistically, it is a fact that portfolios, which manage their risks continuously, perform better than the others. The investor can co-operate with the robots, by deciding on their risk profile and receive help from the robots to decide on the best portfolio allocation.
In pension savings systems like BES, yearly haircuts like success fees or management fees may make it difficult for the funds to perform well in the long run, mathematically. From this perspective, AI can automate the processes and may increase the efficiency of the sector.
Investors would tend to increase the variety of their portfolio choice, because of the extended life expectancy. They would want to seek new instruments which would match their investment goals and needs, from other parts of the world.
Visit us at the Capital Markets Summit, in the Main Hall. Let’s show you a live demo with Hololens - Augmented Reality, with live market data.
You may fill the form below with your corporate email address and request a 1:1 meeting / demo on our services.