Powering breakthroughs in financial research with vast historical market data
Use case for academic research
Your challenge
The data hurdle: why sourcing good data is the hardest part of research
Empirical research in finance, economics, and data science is fundamentally dependent on access to vast, high-quality historical market data. Researchers constantly face the challenge of sourcing comprehensive, granular, and unbiased datasets that are large enough to test hypotheses, train complex models, and produce statistically significant results. The process of acquiring, cleaning, and preparing this data often becomes a monumental task that stifles the pace of academic discovery.
Research challenges
Prohibitive data costs
Inaccessible of incomplete datasets
Time-consuming data cleaning
Limitations of computing power and storage
Lack of reproducibility
What You Can Achieve with FinFeedAPI
Products used
Data Access & Scale
- Access over 20 years of petabyte-scale historical market data, providing the depth and breadth required for longitudinal studies and large-scale empirical analysis.
- Move beyond sample data and eliminate survivorship bias by utilizing complete historical datasets for thousands of securities across numerous exchanges.
Cost-Effectiveness
- Eliminate the high overhead costs associated with sourcing, storing, and maintaining your own massive financial datasets.
- Leverage our easy to use pricing models, making high-quality financial data accessible to university departments, research labs, and individual academics.
Seamless Integration with Research Tools
- Receive all data in simple, compressed GZIP CSV format, eliminating the need to parse difficult PDF statements or proprietary files.
- Seamlessly import market data into any spreadsheet, database, or custom application without complex data transformation.
Reproducibility and Standardization
- Build your research on a foundation of clean, standardized, and verifiable data, making it easier for peers to replicate and validate your results.
- Ensure consistency across your research projects with a single, reliable source for all historical market data.