Institutional portfolio intelligence
The same asset identities and market series that drive a market intelligence application also underpin portfolio analytics — where getting the identity wrong stops being an inconvenience and becomes a reporting error.
The same layer, a different question
Market intelligence asks what is happening across the market? Portfolio intelligence asks what does this mean for what I hold? Both questions need the same foundation: a resolved asset identity, a valuation series with a known timestamp, and an explicit statement of what is missing.
moonlytics.ai is the institutional surface — portfolio analytics, holdings and exposure, risk, compliance workflows and reporting for asset managers and funds. This page describes the data relationship, not the product; the product describes itself.
Why identity matters more here
In a market dashboard, a mis-resolved ticker produces a wrong chart. In a portfolio system it produces a wrong valuation, which flows into a wrong exposure figure, which flows into a report someone signs.
A holdings file arrives as tickers and free-text names — from a custodian, an exchange export, a spreadsheet. In the current registry, 225 symbols are carried by 460 different assets. Resolving that file by ticker is not a shortcut; it is a defect with a known rate.
The layer's answer is the same one it gives everywhere else: resolve to candidates, never guess, and make an unresolved position visible rather than quietly valuing it against the wrong asset.
What the layer supplies
- Canonical asset identity for holdings resolution, including explicit ambiguity rather than a silent pick.
- Hourly market observations — price, capitalisation, volume, volatility — each carrying the time it describes.
- Retained history since November 2025, so a period-end figure can be reproduced later rather than recomputed from today's data.
- Liquidity context — volume against capitalisation — as an input to concentration and exit-risk work.
- Explicit coverage boundaries, so a position in an uncovered asset is reported as uncovered.
What it deliberately does not supply
- Not a settlement or NAV-striking price source. Figures are analytical inputs from an hourly aggregate, not an audited mark.
- No custody, on-chain balance or transaction data. The layer does not index chains and does not know what any wallet holds.
- No sub-hour granularity. A period-end mark to the minute is outside what this data can support.
- No regulatory reporting output. Compliance workflows are the application's domain; the layer supplies inputs to them.
The relationship between the two applications
Moonboard and Moonlytics AI are separate products for separate audiences. What they share is the layer beneath them, and the shared foundation is what keeps an asset in a portfolio report and the same asset in a market chart from being two subtly different things.
Related
- Market data — the valuation series and its limits.
- Asset metadata — the identity holdings resolve to.
- Historical data — reproducibility of period figures.