Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICTSSL, CAS |
2023-01-27 10:15 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
Stock Price Forecast Motohiro Fujii, Chihiro Yanagi, Shunsuke Hara, kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-79 ICTSSL2022-43 |
In this report, we verify and discuss the accuracy of the AI for predicting stock prices and whether there are areas for... [more] |
CAS2022-79 ICTSSL2022-43 pp.89-91 |
CAS, ICTSSL |
2021-01-29 09:10 |
Online |
Online |
How to create a dataset for stock price forecasting using NN Fuya Kaneda, Kousuke Kato, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-56 ICTSSL2020-41 |
In this report,we discuss how to build a Neural Network (NN) for Stock price forecasting.First,we briefly explain about ... [more] |
CAS2020-56 ICTSSL2020-41 pp.97-100 |
CAS, ICTSSL |
2021-01-29 09:30 |
Online |
Online |
A study of stock price prediction method using LSTM Neural Network Kousuke Kato, Fuya Kaneda, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-57 ICTSSL2020-42 |
In this report,we discuss how to build a Long Short-Term Memory Neural Network (LSTM) for Stock price forecasting, usin... [more] |
CAS2020-57 ICTSSL2020-42 pp.101-103 |
SC |
2020-05-29 15:45 |
Online |
Online |
A Study on Stock Prediction Algorithms Based on Soft-Computing Techniques Chun-Yuan Lai, Goutam Chakraborty (Iwate Prefectural University), Rung-Ching Chen (Chaoyang University), Masafumi Matsuhara (Iwate Prefectural University) SC2020-4 |
A Study on Stock Prediction Algorithms Based on Soft-Computing Techniques [more] |
SC2020-4 pp.19-24 |
SWIM |
2019-02-22 13:40 |
Tokyo |
Kikai-Shinko--Kaikan Bldg. |
Proposal of evaluation index on relevance between Nikkei average and industry average Takuya Takasaki, Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2018-22 |
The Nikkei Stock Average is widely known as an indicator to show trends in stock price movements of 225 top-rated Japane... [more] |
SWIM2018-22 pp.7-12 |
SWIM |
2018-05-19 16:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Studies on Stock Price Trend Prediction Using Cahndlestick Chart Patterns Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2018-6 |
In finance, technical analysis is a technique that aims to forecast the future direction of stock prices through the stu... [more] |
SWIM2018-6 pp.27-34 |
SWIM |
2018-02-23 14:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Proposal of Retrieval Method of Time-series Data with Multiple Attributes
-- Evaluating Capabilities of Stock Price Forecast -- Tatsuya Yamanaka, Shogo Tejima, Daiki Morishita, Eiji Akisawa, Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2017-24 |
Stock market prediction techniques play a crucial role in bringing more people into market and encouraging the market as... [more] |
SWIM2017-24 pp.13-18 |
SWIM, SC |
2017-08-25 11:10 |
Tokyo |
|
Dynamic Programming Method for Retrieving Similar Numerical Sequences
-- Application to Mining Stock Price Sequences -- Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2017-9 SC2017-14 |
The trend of stock price fluctuation continues with intermission of several days because stock prices tend to fluctuate ... [more] |
SWIM2017-9 SC2017-14 pp.7-12 |
SWIM |
2016-08-26 16:05 |
Tokyo |
|
Proposal for stock price data analysis model
-- Approach using sequential data mining -- Yoshihisa Udagawa (Tokyo Polytechnic University) SWIM2016-10 |
To invest in shares of a company means financially to support the economic activities of the company. If it is possible ... [more] |
SWIM2016-10 pp.23-28 |
KBSE |
2011-01-25 13:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Prediction of Stock Price Fluctuation using Support Vector Machine Ryo Fuchii, Ning Zhong (Maebashi Institute of Technology) KBSE2010-42 |
Electronic Share Certificate System is executed with rapid development of the information technology in recent years. As... [more] |
KBSE2010-42 pp.43-48 |