BTIG, a broker dealer specializing in institutional trading and related brokerage services, today announced that it has entered into an exclusive agreement with Connexiti, the leading provider of supply chain data analytics, to provide BTIG's clients with money-making actionable information.
"BTIG is committed to providing access to unique resources and useful content to our institutional client base," said Steven Starker, Co-Founder of BTIG. "We are teaming up with Connexiti because it applies technology to transform data into information in ways that would be quite difficult and time consuming for our clients to do themselves, providing real added value to our clients."
Connexiti analyzes thousands of companies globally, with an added focus on the technology sector, closely monitoring and identifying supply chain disconnects and making forward looking predictions about stock movements. Money making ideas and decision flags are generated from an objective quantitative model incorporating hundreds of thousands of data points.
The Connexiti platform allows its users to create customized portfolios, organize and upload company models and research, and filter and tag relevant news articles from more than 70,000 global sources.
"Connexiti has defined hundreds of thousands of proprietary, quantified relationships not available anywhere else," stated Richard Davenport, Connexiti's founder and COO. "Our proprietary algorithms utilize quantified relationships that help investors better understand money flows between companies on a global basis. We then employ this proprietary data to make predictive stock calls."
In addition to its customizable user platform, Connexiti also provides its own technology supply chain research reports and analysis.
"This agreement with Connexiti will allow BTIG clients to benefit from our sourcing of unique tools that permit better portfolio decision making and increase money making potential," added Michael Balog, Managing Director and Head of Marketing at BTIG. "We strive to provide our clients with differentiated resources that generate alpha."