Tim Geannopulos Replaces Rick Lane as Trading Technologies CEO

Chicago-based Trading Technologies International, a global provider of trading solutions, has appointed Tim Geannopulos as its newest Chairman and Chief Executive Officer.

Geannopulos is no stranger to Trading Technologies (TT) as he was its fifth founding partner and held the position of Executive Vice President and Head of Sales for more than 15 years. Indeed, the financial technology veteran spent the bulk of his career dealing directly with TT’s customers in North America, Europe and the Asia/Pacific region.

Geannopulos had originally joined TT in 1999 and left in 2014 to launch technology firm Neurensic in Chicago. He left the firm, which was focused on compliance and operations software for firms in the financial industry, in 2016.

"Tim will be instrumental in managing the key partner transactions we anticipate this year and will guide our strong team through the next chapter of growth and expansion," said Harris Brumfield.

Rick Lane Leaves after 9 Years

Geannopulos succeeds outgoing CEO, Rick Lane who has been the Chairman of the company’s board of directors since 2018. Lane joined Trading Technologies in 2010 when TT acquired the company he co-founded, TickIt Trading Systems. He became CTO in 2012 before he was named CEO by Harris Brumfield, the majority shareholder of Trading Technologies, in 2014.

Lane is parting ways with TT to pursue a new opportunity but will remain to facilitate client migrations to the TT® platform.

"Rick has been a tremendous leader and a visionary who has allowed TT to redefine institutional trading and market access technology in our industry. We wish him the best success in his future endeavors," added Brumfield.

The TT platform provides market access and trade execution through the software-as-a-service (SaaS) delivery model. In addition, the solution provides access to major international exchanges and Liquidity Liquidity The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent Read this Term platforms.

The platform already serves a wide variety of users, including proprietary traders, brokers, money managers, CTAs, hedge funds, commercial hedgers and risk managers.

Designed specifically for professional traders, TT now allows a global user base to trade all derivative products listed on South Africa’s main bourse. The platform incorporates a wide range of customizable tools to accommodate trading strategies across equity and currency derivatives. Furthermore, TT’s full suite of tools includes functionality for charting 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 forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy 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 forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Read this Term, mobile trading, options, FIX services and API development.