[For high school students] About the Institute
Prof. Suzuki belongs to both the
Institute for Regional Future Co-Creation
and the College of Engineering, and supervises research in both.
We develop business-support technologies that combine "real-world data × machine learning × artificial intelligence".
If there is anything we can help with, please feel free to contact us. Tomoya Suzuki
We held a training session for municipalities in Ibaraki Prefecture on using the "Population Decline Countermeasure Simulator".
Thank you very much to everyone who participated. Please feel free to contact us for individual consultations.
Masahiro Kubo (M2) received the "Student Excellent Paper Award"
at the SIG on Financial Informatics, Japanese Society for Artificial Intelligence.
2026.6.2
The Yomiuri Shimbun: "Analysis app for population decline countermeasures, jointly created by Ibaraki Prefecture and Ibaraki University, visualizes the strengths and weaknesses of municipalities"
2026.2.21
The Asahi Shimbun: "
Using data for policy making: Ibaraki Prefecture and Ibaraki University developing an app for municipal officials
"
Ibaraki University and the Statistics Division of Ibaraki Prefecture are developing a tool (app) for municipal officials that analyzes the causes of population decline and supports effective policy making. By visualizing objective data for each city, town and village, it is designed to help them discover their own strengths...
2025.12.2
Paper accepted by Transactions of the Society of Automotive Engineers of Japan:
Okuzawa (M2) "Development of a failure prediction model for brake chambers using machine learning" [Download paper]
2025.9.26
Paper accepted by the JAFEE Journal:
Mochizuki (M2) "Prediction of share buyback behavior based on corporate financial indicators by machine learning and its applicability to asset management" [Download paper]
2025.9.24
The Ibaraki Shimbun: "Support tool for municipal policy: population change forecasts and factor analysis, joint research by Ibaraki Prefecture and Ibaraki University" [Web][X][Yahoo]
The dialogue "The era when individual investors can profit with AI has arrived! On stock price prediction using machine learning" (Tomoya Suzuki × Nanami Hiyori)
was published in the magazine "FX Gaikoku Kawase vol.15".
2025.3.26
Kotaro Mochizuki (M1), Sorao Tamura (M1) and Masahiro Kubo (B4) received the
"Excellent Research Award" (top prize) at the "GPIF Finance Awards for Students"
organized by the Government Pension Investment Fund (GPIF).
They were subsequently awarded the "Ibaraki University Student Award (FY2024)" on 2025.7.22.
We held a results briefing on our joint research with the Joyo Bank.
The Ibaraki Shimbun: "AI predicts stock price movements: a business support system, joint research results reported by Joyo Bank and Ibaraki University"
[Web]
Joyo Bank press release: "Introduction of a new AI-based business support system through joint research with Ibaraki University
and strengthening of future collaboration"
[Web]
2024.11.24
The "Gotobi anomaly" was featured in the Nikkei Veritas.
[Web]
Due to a business custom unique to Japan (following precedent),
an "FX fan appreciation festival" is held every month on days ending in 5 and 0!
2024.11.10
We sold "AI recipes" at the Ien Festival @ Mito. Thank you very much for purchasing more than 900 servings.
2024.11.2
We sold "AI recipes" at the Kogaku Festival @ Hitachi. Thank you for visiting us despite the heavy rain.
[Menu] Beef tendon tsukimi AI monja; spaghetti with mozzarella cheese sauce scented with sakura shrimp and basil
2024.10.1
Cooking battle part 2: "Tsukishima vs. AI"
This experiment tests the hypothesis that, by using ChatGPT, "combinatorial optimization problems" can be solved quickly even for a "qualitative evaluation target" such as the taste of food.
ChatGPT was used to "evaluate" combinations of monja ingredients, and the final combination was obtained by "Bayesian optimization". We believe the same concept can also be applied to "aroma blending".
2 to the 100th power = 1267650600228229401496703205376 combinations
Ibaraki University NEWS: "Which tastes better?! A basil mozzarella monja battle"
Mynavi News: "Both sides fired up!"
NewsLounge: "Decided by customers' votes"
2024.9.7
Oral presentations at the Japan Association of Regional Development and Vitalization:
Okuzawa (M1) "Gap analysis between the Ibaraki Well-being Index and subjective well-being"
Takayanagi (M1) "Factor analysis of inter-prefectural population migration based on the Ibaraki Well-being Index"
2024.8.30
Oral presentations at the Japan Society of Mechanical Engineers:
Suzuki (M2) "A study of an aroma blending support system using ChatGPT"
Hachimonji (M2) "A study of a failure prediction simulator for transport trucks using machine learning of driving conditions"
Mochizuki (M1) "Predictability of share buyback stocks by machine learning of corporate financial conditions"
Tamura (M1) "Predictability of dividend increase stocks by machine learning of corporate financial conditions"
Ziyi Dai (D1) and Nozomu Oda (M1)
received the "Student Paper Award" at the international conference NCSP'24.
Ziyi Dai: Visualization of searching system of thematic equity funds
Nozomu Oda: Machine learning of economic sensitive industries for domestic equity management
Eisuke Sawahata: Multi-objective optimization support tool for global equity management
The article "How to solve the challenges of AI-based investment (Parts 1 and 2)"
was published in "Nikkin Toshin Joho".
(Part 1) Oct. 2 issue
・(Part 2) Oct. 9 issue
The article "Challenges of AI and machine learning in securities investment (Parts 1 and 2)"
was published in "Nikkin Report".
(Part 1) Sep. 11 issue
・(Part 2) Sep. 18 issue
Ibaraki University NEWS
[Web]
Toward a securities investment support tool using machine learning and AI
Interim results briefing of the joint research with the Joyo Bank, also creating a new internship experience
Ibaraki University NEWS
[Web]
Joint research between Prof. Tomoya Suzuki (Engineering) and the Joyo Bank Market Finance Department
Aiming to strengthen securities investment capability with machine learning: a place where research and education are integrated
Papers published in the NOLTA journal
Tsukahara (M2) "Nonlinear modeling for equity valuation by machine learning"
[PDF]
Nakamichi (M2) "Visualization of nonlinear relationship in capital flows of Japanese mutual funds"
[PDF]
2022.3.23
Yuki Sakai (B4) and Ryusei Sato (B4) were selected for the "Taga Kogyokai Award".
This award is given to the top students in each year.
2022.3.6
Prof. Suzuki: Programming Expert Development Program "Financial engineering and high school statistics with Python"
Photo news from the Ibaraki Prefectural Board of Education
[Workshop photos]
2022.2.4
Paper accepted by the JAFEE Journal
Kijinami (M2) "A discriminant model for FX forward transaction periods by machine learning and investment simulation" [Download paper]
2022.1.13
Appeared on the Hirose Tsusho YouTube channel
[Web]
Paper published in the IPSJ Journal
Kudo (M2) "Factor analysis and undervaluation assessment of used car auction prices by machine learning"
[PDF]
2021.6.7
Nikkin Toshin Joho: "The current state and potential of AI-based investment (Part 2): Improving the transparency of investment technology through behavioral economics and DX"
2021.5.31
Nikkin Toshin Joho: "The current state and potential of AI-based investment (Part 1): Continuously evolving AI technology and big data"
The paper "The relationship between trade invoicing currency ratios of domestic imports and the Gotobi anomaly"
was published in the JAFEE Journal
[Web]
It summarizes our Gotobi interview articles (
ZAi FX!・
F-Pro
).
2021.5.1
The review "Text mining and machine learning applications in finance"
was published in the May issue of the Journal of the Japanese Society for Artificial Intelligence.
[Web]
2021.3.31
Nikkei (Digest): "Ibaraki University analyzes market sentiment with AI"
[Web]
2021.3.27
Nikkei Veritas: "Asset management with AI + behavioral economics: a fund by Daiwa Asset Management and Ibaraki University"
2021.3.16
Japan Securities Journal: "Strengths and weaknesses of AI-based investment: its forte is instantly and automatically processing vast information without subjectivity. Interview with Prof. Tomoya Suzuki, Ibaraki University Graduate School"
[Web]
2021.3.1
Nikkin Investment Information: "An investment model based on behavioral economics"
2021.2.26
The Asahi Shimbun: "Are today's stock prices a COVID bubble? What AI analysis of price movements shows"
[Web]
2021.2.24
Nikkei: "AI detects the influence of human psychology on stock prices: a model by Ibaraki University and others"
[Web]
2021.2.15
[Press release] Ibaraki University and Daiwa Asset Management [Original]
AI senses anomalies in financial markets and turns distortions in human psychology into investment opportunities
A new "AI × behavioral economics" equity investment model developed through industry-academia collaboration
2021.2.8
Hiroya Nakajima (B4) received the "Taga Kogyokai Award (Course A)"
and Fuki Yamaguchi (B4) received the "Taga Kogyokai Award (Course B)".
This award is given to the top student in each year.
Oral presentations at the JAFEE Conference
Akiyama (M2) "The Gotobi anomaly unique to Japan in the yen exchange market"
Hosoki (M2) "Active management by machine learning of news headlines"
Kijinami (M1) "FX forward trading using deviations from covered interest rate parity"
2020.7.28
Interview "Ask Prof. Suzuki of Ibaraki University! How should you trade on Gotobi days? Trends revealed by statistical data analysis" @
[F-Pro, an introductory FX site for beginners]
[WEB]
2020.7.25
The paper "Diversified investment by detecting abnormal jumps in crypto assets" was published in the Technical Analysts Journal.
2020.7.1
The book "How to introduce and use IoT and AI in factories and manufacturing processes"
(Python programming for time-series prediction and anomaly detection by machine learning,
pp.439-449, Chapter 8, Section 5)
[WEB]
was published.
2020.6.10
Oral presentations at the Japanese Society for Artificial Intelligence
Akiyama (M2) "ESG factor investing with news text using Word2Vec"
Yanagisawa (M2) "Machine learning of the optimal timing for FX forward trading"
Owada (M1) "Cointegration pairs trading in crypto assets"
2020.5.1
The paper "Short-Term Prediction of Foreign Exchange Rates by Collective Knowledge of Counterparty Banks"
was published.
[PDF]
2020.3.18
Oral presentations at the IEICE
Hayami (M2) "Estimation of auction prices from used car conditions by machine learning"
Yamashita (M2) "Judging whether used car auction prices are under- or overvalued by anomaly detection"
Kudo (M1) "Analysis of the effect of used car features on auction prices"
2020.3.15
Oral presentations at the Japanese Society for Artificial Intelligence (SIG-FIN)
Miyoshi (M2) "Active management by machine learning of important words in news"
Akiyama (M1) "ESG factor investing using news text"
2020.2.26
The article "Collective intelligence AI programming that anyone can try" was distributed by Daiwa Asset Management.
[PDF]
2020.1.14
Prof. Suzuki: "The asset management business is being mechanized by AI" @ Nikkin Toshin Joho
[PDF]
2019.10.10
Prof. Suzuki became an "Ibaraki Innovation Advisor".
2019.10.4
Prof. Suzuki was appointed to the Board of Directors of IFTA (International Federation of Technical Analysts).
[WEB]
2019.9.6
The article "Simulation of collective intelligence AI models (Part 2)" was distributed by Daiwa Asset Management.
[WEB]
2019.8.22
Oral presentations at the JSME Ibaraki Branch Lecture Meeting
Kudo (M1) "Analysis of the influence of features on used car auction prices"
Shi (M1) "Prototype of an AI investment system using the BERT model and news headlines"
2019.8.5
The article "Simulation of collective intelligence AI models (Part 1)" was distributed by Daiwa Asset Management.
It reveals the "essence" of collective intelligence AI models. [WEB]
2019.7.3
Interview "Predicting exchange rates 0.1 seconds ahead with 80-90% accuracy!
How far has AI research on financial markets advanced?" @ ZAi FX!
[Web]
2019.7.1
Interview "Fixing-rate trades on Gotobi Fridays are profitable!
Verified and presented at a conference by the Tomoya Suzuki Laboratory, Ibaraki University" @ ZAi FX!
[Web]
2019.7.1
The article "A history of investment theory and computers" @ Daiwa Asset Management
[Web]
2019.6.16
Prof. Suzuki's comments appeared in "Singularity Nippon" on page 4 of the Asahi Shimbun morning edition
[Web article]
[Summary]
2019.4.24
The second "Blockchain Technology Course" was held at the graduate school
[Web article]
2019.4.15
We announced joint research on automated trading algorithms for cryptocurrencies
[Press release]
2019.3.22
Oral presentations at the IEICE @ Waseda University
Akiyama (B4) "Verifying the usefulness of the Gotobi anomaly in the foreign exchange market"
Hosoki (B4) "Investment decisions by machine learning of news headlines"
2019.3.5
Oral presentations (in English) at NCSP @ Hawaii
Hayami (M1) "Direct Assessment of Contract Prices at Auto Auction with Deep Neural Network"
Miyoshi (M1) "Auto-extraction of Influential Keywords Included in Financial News Headlines"
Yano (M1) "Prediction of Foreign Exchange Rates by Collective Knowledge of Counterparty Banks"
Yamashita (M1) "Prediction of Contract Prices at Auto Auction with Time Series Models"
2019.2.26
From next academic year we will launch the "Ibaraki University Investment Club UIIC". Now recruiting members! [Website]
2019.1.22
Interview "AI-based prediction of used car price fluctuations realized through industry-academia joint research" @ PROTO Soken Car Life
[Web]
2019.1.18
The "Blockchain Technology Course" organized by Prof. Suzuki was featured in the Nikkei.
[Nikkei]
2018.12.17
Interview "How far can AI predict stock prices?" @ Newton Special Issue "Artificial Intelligence from Scratch: Work Edition", pp.88-95
[Amazon]
2018.12.10
Prof. Suzuki received the "Ibaraki University President's Academic Award (Excellence Award)" and gave a commemorative lecture.
2018.10.4
The article "Collective intelligence AI that reads the news to make investment decisions" was distributed by Daiwa Asset Management.
[PDF]
Oral presentations at the Japanese Society for Artificial Intelligence (SIG-FIN)
Yano (M1) "Foreign exchange rate prediction by the collective intelligence of retail customers"
Suzuki (M2) "Prediction of the best foreign exchange rate by the collective intelligence of counterparty banks"
2018.10.19
Oral presentation at the IEICE (NLP)
Sakurai (M2) "Prediction of auto auction prices by deep learning"
2018.10.9
A fair celebrating the founding of CollabWiz is being held at the university co-op (for one month)
2018.10.1
The article "Stock price prediction by deep learning (Part 2)" was distributed by Daiwa Asset Management.
[WEB]
Oral presentations at the Japanese Society for Artificial Intelligence (SIG-BI)
Sakurai (M2) "Prediction of auto auction prices by machine learning"
Suzuki (M2) "Foreign exchange rate prediction by the collective intelligence of counterparty banks"
2018.8.2
Prof. Suzuki has been selected for this year's Ibaraki University President's Academic Award (Excellence Award). The award ceremony and commemorative lecture are scheduled for the autumn.
2018.8.2
The article "Stock price prediction by deep learning (Part 1)" was distributed by Daiwa Asset Management.
[WEB]
2018.7.24
We obtained approval from the university review board to establish CollabWiz Inc. The company will be registered in August and begin advisory and related services on machine learning.
It will be operated as an organization independent of our laboratory.
2018.7.3
The article "Blue ocean AI strategy" was distributed by Daiwa Asset Management.
[WEB]
2018.6.16
The Japanese translation of the JB International Award-winning paper, "Algorithmic investment by the collective intelligence of artificial intelligence", was published.
(Technical Analysts Journal, Vol.5, pp.13-27, 2018)
2018.6.10
Oral presentations at the Complex Communication Science (CCS) workshop
Yano (M1) "Price prediction in the foreign exchange market using customers' trading history: using the collective intelligence of amateurs"
Suzuki (M2) "Price prediction in the foreign exchange market using counterparty banks' quotes: using the collective intelligence of professionals"
2018.6.1
The article "Target the nightmare★anomaly" was distributed by Daiwa Asset Management.
[WEB]
2018.5.25
Received the "University Innovation Award" at the 2nd Mebuki Business Award.
[WEB]
[PDF]
2018.5.1
The article "Foolish human psychology, and the AI that exploits it" was distributed by Daiwa Asset Management.
[WEB]
2018.5.1
The paper "Use of principal component analysis in the nonlinear portfolio model" was published.
(IEICE Transactions, Vol.J101-A, No.5, pp.81-91, 2018)
2018.4.9
The article "Grasping the invisible laws of time-series data" was distributed by Daiwa Asset Management.
[WEB]
2018.3.12
The article "Daiwa Asset Management accelerates research on AI-based investment, inviting Prof. Suzuki of Ibaraki University" was distributed by Nikkin Investment Information.
[WEB]
2018.3.1
The article "Easing the 'second-year jinx' with collective intelligence AI" was distributed by Daiwa Asset Management.
[WEB]
2018.2.18
The investment trust article "Two heads are better than one: AI edition" was published in the
Nikkei Veritas (p.50).
2018.2.16
Thesis titles for this academic year:
[Master's theses]
Mingxin Zhang: Seasonality analysis of the J-REIT market
Hiroaki Tsutsunuki: Validity of financial technical analysis considering data snooping bias
Suemaru Tsuruta: Jump detection in financial markets using volatility indicators and the subsequent reaction
Hiroyuki Goto: Anomaly detection in financial markets by autoencoders
[Bachelor's theses]
Kazuhiro Yano: Price prediction in the foreign exchange market using customers' trading history
Risa Yamashita: Predictability using the seasonality of auto auction prices
Yuma Hayami: Used car purchase appraisal by machine learning of auto auction prices
Katsuhiro Miyoshi: A study of machine learning models for used car purchase appraisal
2018.1.25
The article "Artificial intelligence forming groups" was distributed by Daiwa Asset Management.
[WEB]
2018.1.6
We will participate in the ICO business of Tradingene.
An auction platform based on blockchain technology will be established,
where excellent AI investment algorithms are traded using cryptocurrency.
2017.12.7
An article for the general public explaining the AI investment model in which Prof. Suzuki participates was distributed by Daiwa Asset Management.
[WEB]
[PDF]
2017.12.5
Onizawa (M1) presented research (Predictability of Financial Market Indexes by Deep Neural Network) at the international conference NOLTA.
2017.11.23
At the
Ibaraki Prefecture Student Business Contest,
we received from the University President a certificate of the gift from Mebuki FG,
and gave the special lecture "The potential of AI algorithmic investment".
2017.11.7
Under the cooperation agreement with Mebuki FG (Joyo Bank and Ashikaga Bank),
our laboratory was selected as Ibaraki University's plan.
We aim to launch a university venture that uses AI technology. Mebuki FG [Press release]
[Ibaraki Univ. News]
2017.10.30
To everyone who attended the Trikeps seminar (time-series data analysis):
We have uploaded the programs used in the lecture (available until 11/30). Please download them from here.
2017.10.24
An interview with Prof. Suzuki appeared in the Japan Securities Journal (front page). [Newspaper article]
2017.10.23
The article on Prof. Suzuki, "Asset managers rush to adopt AI: new organizations at Daiwa Asset Management, Asset Management One and others",
appeared in "Fund Joho" (vol.257, p.21), published by Rating and Investment Information, Inc. (R&I).
[Article]
2017.10.14
The award ceremony for Prof. Suzuki's John Brooks Memorial Award was held at the IFTA Milan Conference.
[NTAA letter]
2017.10.1
Prof. Suzuki was appointed Specially Appointed Chief Researcher in the Quants Investment Department of Daiwa Asset Management.
This was also reported in the Nikkei (Oct. 13 morning edition). [Newspaper article]
[Web article]
Daiwa Asset Management [ Press release]
[ Website]
Prof. Suzuki was featured in the magazine J-Money. [Article]
2017.7.27
Prof. Suzuki was featured in the profile column of the Nikkei (North Kanto edition). [Newspaper article] [Web article]
2017.6.30
Oral presentations at the Complex Communication Science (CCS) workshop
Zhang (M2) "Seasonality analysis of the J-REIT market"
Tsuruta (M2) "Jump detection in financial markets using volatility indicators and the subsequent reaction"
Goto (M2) "Anomaly detection in hard-to-predict systems by autoencoders"
The Time Series Seminar @ Japan Techno Center on Tuesday, Feb. 21, is fully booked, and registration has closed early. Thank you for your many applications. The next seminar is planned for around the summer.
2017.2.3
The paper "Consensus Ratio and Two-steps Selection to Detect Profitable Stocks: Modern Technical Analysis Using Machine Learning Approach" (T. Suzuki) has been accepted for publication in the International Federation of Technical Analysts (IFTA) Journal.
2017.2.3
Prof. Suzuki became an MFTA. MFTA: Master of Financial Technical Analysis (certified by the International Federation of Technical Analysts)
[For high school students] About the Institute
