RESSET Database is a data platform provider of professional services for model test, investment research and so on. RESSET Database is designed by a number of leading experts engaged in financial database and financial modeling research from Tsinghua University and Peking University. Overall, it was overall empirical research-oriented designed, with design idea, system structure, data quality, technical patterns reaching international advanced level, conducted throughout full reference of international renowned database but also involving the actual situation of China’s financial markets, and can provide strong support for empirical research, discipline and laboratory construction.

According to incomplete statistics, there are more than 560 renowned domestic and international universities and research institutions using RESSET Database products, and more than 5000 high-quality academic journals, Master and PhD theses which refer to data from RESSET Database, published on domestic and international top-ranking publication every year.

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RESSET financial database is designed by combining the actual situation of domestic and foreign financial markets and refers to the high standards of famous international databases. It is based on empirical research with modern design idea, complete architecture, high-quality data and advanced technology model. The database includes RESSET financial research database, RESSET National Equities Exchange and Quotations (NEEQ) database, RESSET financial product database and RESSET quantitative research database, which can provide strong support for empirical research in financial direction, discipline and laboratory construction.

SH and SZ Level1 High frequency

SH and SZ high frequency

Stock index futures,
treasury bond futures
high frequency

Overseas market
high frequency

Commodity Futures High Frequency Data

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The RESSET characteristic database is a series of special database combined with current hot topics and for digital construction of universities, scientific research institutions and administrative organs. The database includes non-listed company database, economic census database, investment event database, international customs database, Dabie Mountain Economic database, Pan-Asian database, "One belt and one road" databases, commodity circulation databases, energy databases, tourism databases and ocean depth databases. They will provide comprehensive, accurate and fast data support services for professional teaching and thematic research.

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