DR. TIMOTHY ANDERSON, M.D.
Osteopathic Medicine at Selby Ln, Menlo Park, CA
License number
California C52816
Category
Osteopathic Medicine
Type
Emergency Medicine
Address
Address
94 Selby Ln, Menlo Park, CA 94027
Phone
(650) 366-4665
Personal information
See more information about TIMOTHY ANDERSON at radaris.comName
Address
Phone
476 Buena Vista Rd, Calimesa, CA 92320
480 E Laura Ave, Ridgecrest, CA 93555
4857 Royce Rd, Irvine, CA 92612
4372 Beulah Dr, La Canada Flt, CA 91011
443 N Beverly Dr, Beverly Hills, CA 90210
Professional information
Real-Time Adaptive Moduluar Risk Management Trading System For Professional Equity Traders
US Patent:
2006008, Apr 13, 2006
Filed:
Oct 8, 2004
Appl. No.:
10/961553
Inventors:
Timothy Anderson - Menlo Park CA, US
Mark Mooney - Petaluma CA, US
Mark Mooney - Petaluma CA, US
International Classification:
G06Q 40/00
US Classification:
705037000
Abstract:
The present invention provides traders with a real-time fed computer-based system for trading commodities based on a traders risk profile, particularly equities, by providing a careful selection of the data to analyze and selecting the correct manipulation of that data. The invention uses the initially selected data components or factors, by manipulating them with operators, or asset specific mathematical functions, a fuzzy or Baeysian advisors helps to assist in the genetic learning of the system by being rewards and punished based on the correlation to success and failure, and overlay advisors, or meta-advisors as they are implemented in the present invention. The invention provides several control or monitoring layers which can exit and recommend immediate action or adjust the neural-based computational processes, such as iteration, based on criteria in the interpreted “multiplexed” real-time data or a discovered neural relationship.
Real-Time Risk Management Trading System For Professional Equity Traders With Adaptive Contingency Notification
US Patent:
2006004, Mar 2, 2006
Filed:
Nov 29, 2004
Appl. No.:
10/904787
Inventors:
Timothy Anderson - Menlo Park CA, US
Mark Mooney - Petaluma CA, US
Mark Mooney - Petaluma CA, US
International Classification:
G06Q 40/00
US Classification:
705035000
Abstract:
The present invention provides traders with a computer-based neural analysis system for trading commodities based on a traders risk profile, particularly equities, by providing a careful selection of the data to analyze and selecting the correct manipulation of that data. The neural analysis component uses initially selected data components or factors, by manipulating them with operators, or asset specific mathematical functions, a fuzzy or Bayesian advisors help to assist in the genetic learning of the system by being reward and punishment based on the correlation to success and failure, or meta-advisors. A contingency notification system implemented either internally or externally examines the real-time data feed to determine if conditions are such that the trader should be notified that conditions have been met, such that the risk profile requires an immediate action.
Real-Time Adaptive Moduluar Risk Management Trading System For Professional Equity Traders
US Patent:
2006008, Apr 13, 2006
Filed:
Nov 22, 2004
Appl. No.:
10/995059
Inventors:
Timothy Anderson - Menlo Park CA, US
Mark Mooney - Petaluma CA, US
Mark Mooney - Petaluma CA, US
International Classification:
G06Q 40/00
US Classification:
705037000
Abstract:
The present invention provides traders with a real-time fed computer-based system for trading commodities based on a traders risk profile, particularly equities, by providing a careful selection of the data to analyze and selecting the correct manipulation of that data. The invention uses the initially selected data components or factors, by manipulating them with operators, or asset specific mathematical functions, a fuzzy or Baeysian advisors helps to assist in the genetic learning of the system by being rewards and punished based on the correlation to success and failure, and overlay advisors, or meta-advisors as they are implemented in the present invention. The invention provides several control or monitoring layers which can exit and recommend immediate action or adjust the neural-based computational processes, such as iteration, based on criteria in the interpreted “multiplexed” real-time data or a discovered neural relationship.