Partner Profile
Research institution relationships focus on formal collaboration around market microstructure, liquidity dynamics, order-flow behavior, anomaly candidates, and validation methods.
This path is appropriate for universities, independent researchers, research institutions, and quantitative research groups that want to study liquidity behavior with defined scope, reproducible methods, and clear data-rights boundaries.
What This Path Covers
Research institution work can include formal study design, methodology review, derived output access, anomaly-candidate review, model-evaluation discussion, SWTW research access where appropriate, and documentation of what can and cannot be shared. The goal is to create useful research collaboration without exposing private datasets, provider-restricted data, or unpublished LDRG IP outside an agreed scope.
Access Surfaces
Review Areas
- Research questions, hypothesis framing, market scope, sampling windows, methodology notes, and expected evidence standards.
- Dataset requirements, derived-output options, anonymization assumptions, provider restrictions, and reproducibility requirements.
- Model evaluation, anomaly-candidate review, signature lifecycle, failure cases, retired examples, and independent review methods.
- Publication boundaries, attribution, confidentiality, review cadence, access limits, and whether SWTW research access is suitable.
Readiness
A strong research conversation starts with the study question, intended publication or internal-review outcome, markets involved, data requirements, and any institutional review rules that apply. LDRG can then determine whether the work belongs in a public research collaboration, a private validation review, a derived-data discussion, or a narrower methodology exchange.
Operating Boundary
Research partnership access is research-oriented. Any data rights, publication rights, confidentiality rules, and access limits must be defined before shared research work begins. LDRG does not provide unrestricted provider data, expose private research systems, or treat academic interest as automatic access to internal tooling.