Johnny H Chang

US Patent:

20230087672, Mar 23, 2023

Filed:

Nov 14, 2022

Appl. No.:

17/986886

Inventors:

- Boston MA, US
Johnny Chang - Winchester MA, US

International Classification:

G06Q 40/04
G06N 20/00
G06Q 30/06

Abstract:

The AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems (“AIRTPE”) transforms machine learning training input, order placement input inputs via AIRTPE components into machine learning training output, order placement output, information leakage alert outputs. An order placement datastructure associated with a security identifier is obtained. An order placement allocation for the security identifier is determined. An order placement request datastructure for a first order is sent to a server associated with a first venue. A set of trade tick data messages associated with the first venue is obtained. A set of inferred labels is determined for each obtained trade tick data message using a real-time prediction logic generated using a machine learning technique. The inferred labels of a selected inferred label type are grouped into buckets. When it is determined that the grouped inferred labels correspond to execution data generated by the first order, an information leakage alert is generated.

US Patent:

20210125277, Apr 29, 2021

Filed:

Nov 18, 2019

Appl. No.:

16/686446

Inventors:

- Boston MA, US
Johnny Chang - Winchester MA, US

International Classification:

G06Q 40/04
G06Q 30/06
G06N 20/00

Abstract:

The AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems (“AIRTPE”) transforms machine learning training input, order placement input inputs via AIRTPE components into machine learning training output, order placement output, information leakage alert outputs. An order placement datastructure associated with a security identifier is obtained. An order placement allocation for the security identifier is determined. An order placement request datastructure for a first order is sent to a server associated with a first venue. A set of trade tick data messages associated with the first venue is obtained. A set of inferred labels is determined for each obtained trade tick data message using a real-time prediction logic generated using a machine learning technique. The inferred labels of a selected inferred label type are grouped into buckets. When it is determined that the grouped inferred labels correspond to execution data generated by the first order, an information leakage alert is generated.