Rutherford, NJ, United States of America

Neerav Shah

This inventor holds 1 USPTO granted patent. Top assignee: Liquidnet Holdings, Inc.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Neerav Shah. Retrieved from https://idiyas.com/inventor/neerav-shah-2o8iy3ym

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Neerav Shah: Innovator in Trading Algorithms

Introduction

Neerav Shah is a prominent inventor based in Rutherford, NJ (US). He has made significant contributions to the field of trading algorithms, particularly in the area of forecasting trading performance. His innovative approach has garnered attention in the financial technology sector.

Latest Patents

Neerav Shah holds a patent for a method of placing a security trade order using a trading algorithm in a computerized trading system. This patent, titled "Forecasting Trading Algorithm Performance," involves receiving candidate order characteristics through a graphical user interface (GUI) and obtaining current market characteristics. The invention forecasts performance and fill rate scores for executions of the candidate order by various trading algorithms, utilizing a ranking model based on historical data. The highest-ranked trading algorithm is then selected and displayed on a second GUI for user selection, streamlining the trading process.

Career Highlights

Neerav Shah is currently employed at Liquidnet Holdings, Inc., where he continues to develop and refine trading algorithms. His work focuses on enhancing the efficiency and effectiveness of trading strategies in the financial markets. With a patent portfolio that includes 1 patent, he has established himself as a key player in the fintech industry.

Collaborations

Neerav collaborates with various professionals in his field, including his coworker Roberto Malamut. Their combined expertise contributes to the innovative solutions being developed at Liquidnet Holdings, Inc.

Conclusion

Neerav Shah's contributions to trading algorithms exemplify the intersection of technology and finance. His patented methods are paving the way for more efficient trading practices in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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