Oliver Maureen Hansch

US Patent:

20110047060, Feb 24, 2011

Filed:

Feb 12, 2010

Appl. No.:

12/705270

Inventors:

DOUGLAS LAWRENCE BORDEN - New York NY, US
Oliver Hansch - Summit NJ, US
Youxun Shen - Short Hills NJ, US
Xiaolin Xie - Jersey City NJ, US

International Classification:

G06Q 40/00

US Classification:

705 37

Abstract:

The APPARATUSES, METHODS AND SYSTEMS FOR A MARGINAL CONTRIBUTION TO PERFORMANCE PLATFORM (“MCP PLATFORM”) brings about significant advances in the utility and efficacy of algorithmic trading. In one embodiment, the MCP Platform facilitates optimized trading of financial instruments by employing an optimization framework that extends down to the order-placement level. The MCP Platform may minimize a total, generalized cost associated with a trade by separating the overall optimization problem into current order placement decisions and future order placement decisions. Future order placement decisions may then be evaluated analytically and the current order placement decisions evaluated numerically to effectively reduce the dimensionality of the optimization problem and allow optimization to be performed in a relatively short period of time.

US Patent:

20190080403, Mar 14, 2019

Filed:

Jul 31, 2018

Appl. No.:

16/051392

Inventors:

- New York NY, US
Oliver Hansch - Summit NJ, US
Youxun Shen - Short Hills NJ, US
Xiaolin Xie - Jersey City NJ, US

International Classification:

G06Q 40/04

Abstract:

The APPARATUSES, METHODS AND SYSTEMS FOR A MARGINAL CONTRIBUTION TO PERFORMANCE PLATFORM (“MCP PLATFORM”) brings about significant advances in the utility and efficacy of algorithmic trading. In one embodiment, the MCP Platform facilitates optimized trading of financial instruments by employing an optimization framework that extends down to the order-placement level. The MCP Platform may minimize a total, generalized cost associated with a trade by separating the overall optimization problem into current order placement decisions and future order placement decisions. Future order placement decisions may then be evaluated analytically and the current order placement decisions evaluated numerically to effectively reduce the dimensionality of the optimization problem and allow optimization to be performed in a relatively short period of time.