Insights
CRSP Alternatives for Non-Academic Researchers
Alphanume Team · June 5, 2026
CRSP Alternatives for Non-Academic Researchers
Survivorship-free academic data is the gold standard inside a university. Here is how to get equivalent rigor through APIs outside one.
What CRSP Does Well
CRSP, the Center for Research in Security Prices, is the standard source for survivorship-free US equity data in academic finance. Its strength is meticulous, research-grade history, including delisted securities, accurate delisting returns, and clean handling of corporate actions, going back decades. For published academic work, CRSP is the reference dataset.
The product is built for academic rigor and is typically accessed through university subscriptions, often via WRDS. That institutional access model is the main barrier for anyone outside a university, and it is the reason non-academic researchers look for equivalents.
Why Non-Academic Researchers Look for Alternatives
The first reason is access. CRSP is generally available through academic institutions, so an independent researcher or a small fund without a university affiliation cannot easily license it. The second reason is delivery: CRSP suits academic workflows, and a practitioner may want on-demand API access instead.
The third reason is that the property CRSP is prized for, survivorship-free history with accurate delisting returns, is a discipline that can be reconstructed from other sources, not a unique dataset. The goal outside academia is to preserve that rigor through accessible providers.
A concrete example: CRSP's careful delisting returns are what make academic backtests honest about stocks that went to zero. A practitioner replicating that needs a data source that includes delisted names and handles their final returns correctly, which is achievable with care through commercial APIs.
The Alternatives
The property to preserve is survivorship-free, point-in-time correctness, covered in our piece on avoiding survivorship bias and our explainer on point-in-time market data. Reconstructing historical size correctly is part of the same problem, addressed in our note on historical market cap data.
Commercial providers with deep history and delisted-security coverage can approximate CRSP's rigor for practitioners, as long as you verify survivorship handling and delisting returns rather than assuming them.
Comparison Table
Source | Access | Survivorship-Free | Best For |
CRSP | Academic / WRDS | Yes (gold standard) | Published research |
Commercial deep-history APIs | Open subscription | Verify per provider | Practitioner backtests |
Point-in-time research datasets | Open subscription | Yes | Universe and event context |
Where CRSP Still Wins
For academic research that must meet publication standards, CRSP remains the gold standard, and its careful treatment of delisting returns and corporate actions is genuinely hard to match. If you are inside a university and your work will be reviewed against the literature, CRSP is the expected source for good reason.
The boundary is access and use case. Outside academia, the goal is to preserve CRSP's rigor through accessible data, which is achievable with disciplined verification. The standard matters more than the specific dataset once you are building practitioner strategies rather than publishing.
Preserving Rigor Outside the University
The hard part of replacing CRSP is keeping survivorship-free, point-in-time correctness while gaining open access. That discipline extends beyond prices to universe membership and size on each historical date, which are easy to get wrong.
Alphanume's historical market cap dataset supplies point-in-time size, and the dilution events feed adds dated corporate actions, both built to the point-in-time standard academic work demands. Layered on a deep-history price source, they help a non-academic researcher hold the line on rigor.
How to Choose
Stay with CRSP if you are inside a university and your work must meet academic standards. Outside one, choose commercial deep-history data and verify its survivorship and delisting handling, then add point-in-time research datasets for universe and event context. What you are really preserving is the rigor CRSP represents, and that can travel to an API-first stack with care.