Vantagepoint A.I. Releases Independent Studies Confirming Over 81% Predictive Accuracy Across Market Conditions

07 November 2025 | Friday | News

Two separate Ph.D.-led validations affirm the reliability of VantagePoint’s patented A.I. trading technology, demonstrating consistent performance across 100 financial instruments during a three-year period of extreme market volatility.
Picture Courtesy | Public Domain

Picture Courtesy | Public Domain

Vantagepoint A.I., LLC, the pioneer in artificial intelligence-based trading software for retail investors, announced the release of two comprehensive independent validation studies that demonstrate the software's exceptional predictive accuracy across diverse market conditions. The dual studies, conducted separately by Dr. Gozde Karatas Baydogmus, Ph.D. in Computer Engineering  with extensive expertise in predictive modeling, statistical analysis, and algorithm design for both machine learning and non-ML applications, and Dr. Dillon Huddleston, Ph.D. in Economics who's professional competencies span predictive modeling, statistical analysis, algorithm design for machine learning and traditional applications, data visualization, and big data analytics, confirm VantagePoint's Neural Index achieved consistent accuracy rates of up to 81.36% across 100 combined financial trading instruments over a three-year period marked by significant market volatility.

The independent evaluations are particularly significant given the challenging market environment of the testing period (October 2022 - October 2025), which encompassed multiple Federal Reserve rate adjustments, geopolitical tensions, banking sector instability, and dramatic shifts in artificial intelligence valuations. Despite these turbulent conditions, VantagePoint's patented A.I. technologymaintained robust predictive performance across all tested asset classes.

"These independent validations represent a watershed moment for retail traders," said Lane Mendelsohn, President of Vantagepoint A.I. "Having two Ph.D. researchers independently arrive at nearly identical accuracy figures, while each selecting their own markets and timeframes, provides unprecedented credibility to our software's predictive capabilities."

 

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