Cryptocurrency Market Analysis PlatformBased on AI Technology and Big Data

Discover valuable cryptocurrency information from around the world.
The AI created by the researchers of University of Tokyo, works 24/7 all year round, collecting and analyzing Big Data of cryptocurrency from all over the world.

Our Challenge

Avoid missing the ‘good buying time’ and the ‘good selling time’
SIGNAL's new challenge


Toward maximization of return on cryptocurrency investment

The cryptocurrency market continues to increase not through "short-term trends", but through "innovations that change the world". The current situation is that it is difficult for investors to predict the movement of the market as the currency fluctuates intensely due to various factors and scattered information.

Price movements of major coins since January 1st 2017

*Coins were picked from the top 100 in the market capitalization that were listed since January 1st


Discover valuable cryptocurrency information from around the world.

We began collecting all existing information that pertains to cryptocurrency from the Web such as text information, transaction data on blockchain, mining data, cryptocurrency codings, fluctuation charts, and proprietary expert reports, in a meaningful way.


Our AI system analyzes and provides cryptocurrency big data.

Information volume about cryptocurrencies around the world is massive, thus it is challenging for a human to obtain and analyze all the information. By organizing and providing cryptocurrency big data with AI technology, we aim to aid investors to efficiently collect useful information.

SIGNAL HELPS YOU Prioritize investments Identify growth opportunities within Cryptocurrency Market



Ryo Ito


Masters at Tokyo University Engineering. Piqued by how individualconsumers interpret information and how it leads to economical activities,Ito investigates marketing science. Later, Ito was interested in moremacro economical phenomenon, and started investigating financialmarket analysis. Currently, Ito specializes in machine learning in thecontext of financial markets and natural language processing. Ito nowworks on 2 journals, 1 international conference, 6 oral presentations and investigation, specifically onfinancial market's informational asymmetry and the limits of investor cognition.


Financial text mining's technological trend Securities Analyst Journal 2017 vol55 No.10
The 30th Annual Conference of the Japanese Society for Artificial Intelligence, 2016
Construction and evaluation of the business recommendation system between companies using the text information IEICE , vol. 115, no. 222, NLC2015-24, pp. 43-46, 2015 Sept.

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Masayoshi Kono


Kono is the co-founder of Ezmom (2013 Aug.) He procured 100 million yen as CEO, and took charge of game-user contents. During his time in school, Kawano interned at KAYAC Inc. and served as game director at Applibot. From receiving highest marks in TechCrunch hackathon 2014, Kawano was awarded for his stellar performance in more than 10 hackathons and business contests. Softbank academia 7th generation graduate. In charge of product UX design at FACTBASE.



Tsubasa Maeda


Engineering Science at Osaka University. Former stock investor. Maedawas in charge of bank-end development, front-end development,infrastructure supervision as Chief Engineer at Ezmom Inc.During school, Maeda experienced Cyberside development atCyberagent Inc., Android development at Recruit Inc., and machinelearning development at Gunosy Inc. At FACTBASE, Maeda is in chargeof developing interface between data infrastructure and users.

Co-founder & CMO

Yusuke Takahashi


Founder of Factbase Inc., Serial Entrepreneur, started his first company Ezmom in his sophomore year in Osaka University Law Department. With the 1M USD investment to Ezmom (Game promoting Industry) in early-stage rounds, Takahashi managed to lead the team to gain millions of views per month on the platform and keep Ezmom as a mature company till now. FACTBASE is the new startup he launched in 2017, within 2 months, attracted million level Angel round and many other offers. Takahashi united a team of doctor graduates researchers from Tokyo University, and an experienced project team to utilize AI, big data, machine learning and natural language processing system technology to collect and analyze information about cryptocurrency including bitcoin, and other ICO projects. Factbase aims to be the Bloomberg of cryptocurrency in the coming future.


仮想通貨の価格変動をAIで分析するSIGNAL 開発会社FACTBASE代表の高橋氏にインタビュー