SYSTEM AND METHOD FOR ALGORITHMIC TRADING STRATEGIES

Patent №

US 7,747,508

Granted

2010-06-29

Filed 2005

Owner

GOLDMAN SACHS & CO.

Lab

AI components

2

planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11146632

Various embodiments of the present invention are directed to systems and methods for algorithmic trading strategies and/or systems and methods for use in executing an order directed to a security traded in a market. More particularly, one embodiment of the present invention relates to a method implemented by a programmed computer system for use in executing an order directed to a security traded in a market, comprising: calculating a plurality of expected market impacts associated with execution of the order over a plurality of different time periods; calculating a plurality of expected price risks associated with execution of the order over the plurality of different time periods; calculating a plurality of expected total costs associated with execution of the order over the plurality of different time periods, wherein the plurality of expected total costs are calculated using the plurality of expected market impacts and the plurality of expected price risks; and trading the security via execution of the order over a time period at which the expected total cost is optimal (e.g., minimized).

AI classification

Evolutionary computation0.99
Planning0.98
Knowledge representation0.07
AI hardware0.00
Machine learning0.00
Vision0.00
Natural language0.00
Speech0.00

Ownership

GOLDMAN SACHS & CO.

assignment · 163660332

Assignors

SILVERMAN, ANDREW F.

On an employer assignment, the assignors are typically the inventors.

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