Patents by Inventor Samuel Hakim

Samuel Hakim has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250371618
    Abstract: Embodiments relate to a trading platform with a distributed computer infrastructure. A system and method for trading digital assets that involves integrating a hybrid order book, a matching engine, an automated market manager, and safe margin lending service.
    Type: Application
    Filed: July 27, 2022
    Publication date: December 4, 2025
    Inventors: Daniel J. LARIMER, Khaled Assaad AL-HASSANIEH, Maxim NAM-STORM, Suren Gueorgui MARKOSOV, Samuel HAKIM, Shashank Singh SOLANKI, Erik Charles LEEDOM, Ian Michael Corfield SMITH, Justin Paul SHORT, Dominic Joseph TOBIAS, Pui Son Jason MAN
  • Publication number: 20250329075
    Abstract: Embodiments described herein relate to computer systems and methods for virtual markets. The systems and methods involve a plurality of user devices associated with user accounts having an interface for providing order commands to the system for virtual markets. The systems and methods involve a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the one or more memories storing an automated market maker, automated market maker instructions, depth chart data, routed markets, and so on. The one or more processors can execute order commands using routed markets.
    Type: Application
    Filed: April 17, 2025
    Publication date: October 23, 2025
    Inventors: Khaled Al-Hassanieh, Justin Paul Short, Samuel Hakim, Mark Woods, Shashank Singh Solanki, Aditya Gopinath
  • Publication number: 20250173789
    Abstract: Embodiments described herein relate to computer systems and methods for derivative or perpetual transactions. The systems and methods involve a plurality of user devices having an interface for the system, the user devices associated with user accounts, each user account having one or more perpetual positions. The systems and methods involve a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the one or more memories storing instructions for a risk engine capable of managing perpetual futures for the trading accounts, each of the trading accounts having its own perpetual positions. The processing system receives input from the interface and generates output for transmission to and display at the interface.
    Type: Application
    Filed: November 27, 2024
    Publication date: May 29, 2025
    Inventors: Justin Paul Short, Khaled Al-Hassanieh, Mark Woods, Samuel Hakim, Ian Temple, Shashank Singh Solanki, Aditya Gopinath, Brian Huang, Yawei Xia, Maxime Antonie, Rutie Zhou, Ashutosh Saxena, Miti Nopnirapath, Hoa Tran
  • Publication number: 20250078152
    Abstract: Embodiments relate to systems and methods for on-demand margin borrowing and lending with automated de-leveraging. The method for on-demand margin borrowing and lending with automated de-leveraging executing instructions stored on memory by a hardware processor, can involve: enabling margin on a subaccount for cross-collateralization of assets; setting leverage threshold values for the subaccount; processing a loan request to buy or sell an asset from a borrower interface; processing a loan offer to generate returns from idle assets from a lender interface; determining rate for assets; executing a margin transaction between the borrower interface and a lender interface, the margin transaction being smart contract code for a blockchain infrastructure; and computing different types of margin data, and generating output for transmission, storage, or display at an interface.
    Type: Application
    Filed: August 2, 2024
    Publication date: March 6, 2025
    Inventors: Justin Paul Short, Mark Woods, Shashank Singh Solanki, Khaled Assaad Al-Hassanieh, Samuel Hakim, Weixin Sun, Aditya Gopinath, Maxime Antonie, Yawei Xia, Ian Temple, Brian Huang