METHOD AND SYSTEM FOR CONVERTING ORDER BOOK DATA INTO 2D DATA FOR MACHINE LEARNING MODELS

Provided is a method for converting order book data into 2D data for a machine learning model, which is performed by one or more processors, in which the method includes acquiring order book data including data items for a plurality of bid prices and data items for a plurality of ask prices for a st...

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Bibliographic Details
Main Author LEE, Byungjae
Format Patent
LanguageEnglish
Published 09.05.2024
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:Provided is a method for converting order book data into 2D data for a machine learning model, which is performed by one or more processors, in which the method includes acquiring order book data including data items for a plurality of bid prices and data items for a plurality of ask prices for a stock traded in a first stock exchange according to time from a time point in the past that is a predetermined period of time earlier, to a current time point, calculating a mid price based on a highest bid price of the plurality of bid prices and a lowest ask price of the plurality of ask prices, and generating data in tensor form having a first axis of times at certain time intervals and a second axis of prices in units of tick.
Bibliography:Application Number: US202418415435