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1. (US20190370902) METHOD FOR PRICE PREDICTION OF FINANCIAL PRODUCTS BASED ON DEEP LEARNING MODEL

Office : United States of America
Application Number: 16425861 Application Date: 29.05.2019
Publication Number: 20190370902 Publication Date: 05.12.2019
Publication Kind : A1
IPC:
G06Q 40/06
G06K 9/62
G06T 11/20
G06N 3/08
G06F 17/16
G06T 17/00
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
Q
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
40
Finance; Insurance; Tax strategies; Processing of corporate or income taxes
06
Investment, e.g. financial instruments, portfolio management or fund management
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
T
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
11
2D [Two Dimensional] image generation
20
Drawing from basic elements, e.g. linesĀ or circles
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
08
Learning methods
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
17
Digital computing or data processing equipment or methods, specially adapted for specific functions
10
Complex mathematical operations
16
Matrix or vector computation
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
T
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
17
3DĀ modelling for computer graphics
CPC:
G06K 9/6257
G06Q 40/06
G06T 17/00
G06N 3/08
G06F 17/16
G06T 11/206
Applicants: SHINE WE DEVELOPMENT INC.
Inventors: Shang-Jyh Yiin
Chih-Ming Lai
Da-Wei Liu
Che-Yu Chuang
Priority Data:
Title: (EN) METHOD FOR PRICE PREDICTION OF FINANCIAL PRODUCTS BASED ON DEEP LEARNING MODEL
Abstract: front page image
(EN)

A deep learning method for predicting at least one future price of a financial product includes generating a plurality of candlesticks over historical trading data of the financial product, inputting the plurality of candlesticks to a neural network machine, the neural network machine processing the plurality of candlesticks to generate a trained neural network model, and a neural network predicting machine predicting the at least one future price of the financial product according to the trained neural network model.