Use cases
Financial research workflows
Kaiday helps financial teams move from a testable idea to evidence, reproducible analysis, review, and an auditable decision.
Research an investment idea
Start with a falsifiable hypothesis. Kai can find primary evidence, define the universe and benchmark, select usable data, run an exploratory backtest, expose limitations, and prepare the result for human review.
Try saying to Kai
- ›Test whether post-earnings drift persists in European large caps after realistic costs.
- ›Find primary research on time-series momentum, then run a simple benchmarked study on the data we have.
- ›Rerun the prior study with a temporal holdout and show where the result is unstable.
Review evidence and methodology
- Collect papers and mark each source as supporting, contradicting, methodological, or contextual.
- Record missing point-in-time data, survivorship risk, and inaccessible evidence as visible limitations.
- Compare the signal against a baseline, benchmark, costs, temporal split, and a small sensitivity grid.
- Record approve, correct, defer, or discard without calling an exploratory result validated.
Build financial workflow apps
MiniApps are useful for structured intake, evidence review, dashboards, assessment, and approval queues. They do not process payments, move money, or execute trades.
Decision boundary
Analysis is not execution
Kaiday can calculate, backtest, compare, document, and prepare a decision. A human remains responsible for validation and any action in an external brokerage, payment, custody, or accounting system.
Good requests
- Compare two datasets and flag mismatched instruments or timestamps.
- Build a review dashboard for completed studies.
- Generate an investment memo from approved evidence.
- Track model-risk exceptions and remediation status.