NIKA use case
NIKA for Quantitative finance
Build differentiated, model-ready signals from the alt-data vendors a US fund already subscribes to.
For PMs and alt-data analysts — turn store visits, card spend, and shipping movement into tradable location signals.
Massimiliano Morosinotto / UnsplashThe challenge
Everything you need exists — just not in one place.
Alt-data vendors ship raw feeds, not signals. Turning store visits and card spend into something model-ready takes weeks of analyst time — and the edge decays fast.
What NIKA does
How NIKA helps quantitative finance teams.
Build location signals
Turn foot-traffic and card-spend feeds into weekly, model-ready time series.
Line up to catalysts
Align signals to earnings dates and flag where they diverge from consensus.
Cross-check sources
Reconcile card, visit, and shipping data so one noisy feed doesn't mislead.
Products that power this
From the old way to the NIKA workflow.
Alt-data vendors ship raw feeds, not signals. Turning store visits and card spend into something model-ready takes weeks of analyst time — and the edge decays fast.
- 8 data sources that don’t talk to each other
- Analysts stitch it together by hand — days per question
- Often stale by the time the answer lands
- Build the signalNIKA AnalystExplore Analyst
Turn foot-traffic and card-spend feeds into weekly, model-ready time series.
Earlier, defensible signals competitors can't pull from filings.
How it works
From your data to a decision.
- Step 1
Connect your data
Files, folders, and the platforms your team already pays for.
- Step 2
Ask in plain language
No query language, no technical expertise — just the question.
- Step 3
NIKA reasons across location
It reads, searches, and runs the analysis grounded in real coordinates.
- Step 4
Get the decision
A report, map, or answer you can act on and share.
Data connectors NIKA uses
NIKA plugs into the platforms quantitative finance teams already pay for, then reasons across them in one place.
- Placer.ai
- Advan
- Earnest Analytics
- Consumer Edge
- SafeGraph
- Orbital Insight
- MarineTraffic AIS
- Bloomberg
What you can ask NIKA
- Build a weekly store-visit signal from Placer.ai for these 30 retailers and line it up against earnings dates.
- Compare Earnest card spend with foot-traffic trends for this restaurant chain.
- Flag tickers where parking-lot fill is diverging from consensus.
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