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“FMI is a robust and transparent alternative to AI for financial time series forecasting and classification, anomaly detection, and correlation analysis,” explains Nayar. Developed by senior professors of the physics department at Princeton University, FMI has emerged as one of the most powerful tools to analyze contemporary financial data. It has been mathematically proved to be a unique algorithmic framework that neither mistakes noise for signal nor vice versa. What’s more, FMI-based AI systems no longer remain a black box as all the variables remain under control of the users.
Backed by such technology, FMI Technologies offers ‘algorithm as a service.’ The service is mainly aimed at medium and high-frequency hedge funds. The unique service allows clients to capture the non-linear elements in the market by predicting non-linear market dynamics.
FMI is a robust and transparent alternative to AI for financial time series forecasting and classification, anomaly detection, and correlation analysis.
That said, the company always remains in the hunt to be at the leading edge of AI innovation by participating actively in some of the most renowned global conferences held by institutions such as Bloomberg, NYU, and Columbia University, among many others. Apart from partnering with institutions such as Princeton, FMI Technologies also interacts with a team of experts who are mostly Ph.D. holders of physics, mathematics, and computer science from institutions such as the University of California, Berkeley, and Stanford, among others. Besides academia, the company maintains strong interactions with people from the investment space to be up to speed with the market needs and developments.
The fact that FMI Technologies has distinguished minds collaborating with it to improve its solutions and services constantly is the major differentiating factor for it in an industry that settles for technicians with lesser expertise. Moving forward, FMI Technologies is heading for a strong collaboration with a big Wall Street service provider in the near future to expand its market reach.
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Company
FMI Technologies
Headquarters
New York, NY
Management
Revant Nayar, Founder
Description
FMI is a robust and transparent alternative to AI for financial time series forecasting and classification, anomaly detection, and correlation analysis,” explains Nayar. Developed by senior professors of the physics department at Princeton University, FMI has emerged as one of the most powerful tools to analyze contemporary financial data. It has been mathematically proved to be a unique algorithmic framework that neither mistakes noise for signal nor vice versa. What’s more, FMI-based AI systems no longer remain a black box as all the variables remain under control of the users.