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JPX Market Innovation & Research, Inc. (JPXI) has announced that its J-Quants Pro datasets are now accessible through Snowflake’s data cloud platform. The expansion introduces new options for financial professionals seeking direct access to Japanese market data from an official source.
The J-Quants Pro service, introduced in April 2024, provides high-quality datasets with historical depth to institutional clients. By adding Snowflake as a delivery channel, JPXI broadens the service’s reach while offering users the flexibility to develop data analysis environments at lower cost.
More JPX group datasets will become available on Snowflake
The datasets now available via Snowflake include trading data, margin trading reports, listed issue information, financial statements, derivatives trading volume, large-lot off-auction trades, stock price data, and short-selling positions. These data categories offer market participants expanded visibility across key metrics in Japan’s financial markets.
Current J-Quants Pro subscribers can access their data through Snowflake in addition to existing API and SFTP channels, with no added fees. The integration supports clients who already utilize Snowflake for enterprise data management.
JPXI stated that more JPX group datasets will become available on Snowflake in the coming months. The move forms part of a wider effort to increase the accessibility and utility of Japanese market data among global users.
Listings of available datasets have also been added to the JPxData Portal (beta version), where users can search over 200 data types from JPX group companies and partners. The portal includes information on stock listings, disclosure filings, and structured metadata for each dataset. A keyword filter for “Snowflake” enables users to locate JPXI’s offerings on the platform.
J-Quants for Retail Investors, Developers, Data Scientists
J-Quants is a quantitative investment initiative launched by the Japan Exchange Group to support algorithmic and data-driven trading strategies. It functions as both a platform and a community, providing retail investors, developers, and data scientists with access to tools, datasets, and educational resources focused on quantitative finance. Through J-Quants, users can experiment with financial models, backtest strategies, and participate in competitions, including those that use real historical market data from the Tokyo Stock Exchange.
The platform encourages individuals with technical skills to engage with the Japanese market in new ways. It emphasizes the use of Python, machine learning, and API-based workflows. J-Quants also partners with universities and companies to host workshops and tutorials, broadening awareness of quantitative methods in investment. The platform has gained traction among quants and fintech professionals looking to test or refine strategies in a regulated and data-rich environment.
J-Quants not only supports independent research but also acts as an on-ramp for deeper integration into the Japan Exchange’s broader ecosystem. The datasets it offers include fundamental information, price data, and ESG metrics, enabling a wide range of experimental modeling. While the community initially targeted Japanese users, interest has grown globally as more developers explore emerging Asian markets for alpha generation.
