Apps, hiring, web attention and stores
Forward-only company signals can be useful precisely because the past state often disappears. Altys timestamps them instead of pretending a later scrape was known earlier.
126 mapped NSE symbolsAlternative data for India
The filing is periodic. The business leaves footprints every day.
Altys collects public-source operating signals, preserves when each observation became knowable and connects the evidence to the company and portfolio questions it can actually inform.
Updated 4 Sept 202620 enabled sources51 observed series4,20,694 PIT observations
What Altys tracks
Signals that arrive on different clocks.
Alternative data is not one dataset. It is a collection of imperfect but useful observations. Each needs its own definition, release lag, revision policy and company mapping.
MobilityCompany footprints
VAHAN and FADA auto data
National registrations, category retail and listed-maker registration histories—with current-month accrual clearly separated from closed months.
Open tracker →Tax activityGST collections
Gross, net and domestic collection series. Useful for economic breadth, never a mechanical proxy for one company’s revenue.
Open tracker →Goods movementE-way bills
National document count and assessable value. A movement-of-goods pulse that still requires sector and company attribution.
Open tracker →ParticipationDemat accounts and fund flows
CDSL beneficiary accounts and AMFI open-ended equity flows, kept as separate measures with separate denominators.
Open tracker →InsurancePremium activity
Life first-year premium and non-life gross direct premium, including private-life and standalone-health context.
Open tracker →The point-in-time difference
A historical value and a historical vintage are not the same thing.
If a dashboard revises July after late submissions arrive, today’s July value is useful for understanding activity. It is not necessarily the value an investor could have used on 1 August.
01
Collect the source
Altys saves the public file, API response or dashboard output and its content hash. No model is needed to read a number that can be parsed deterministically.
02
Preserve two dates
The observation date says what period the value describes. The availability date says when the market—or Altys—could first know that vintage.
03
Map cautiously
A national GST series is macro context. A maker registration is closer to a company but can still cover several legal entities or product categories.
04
Monitor a thesis
The signal becomes useful after it is attached to an explicit question: demand, market share, distribution, hiring, customer attention or regulatory risk.
The model is not the moat here.
Collection history, entity mapping, revision-aware vintages, source definitions and the workflow that connects a signal to a thesis are the hard parts. AI can help an analyst ask and explain; it should not be allowed to invent a missing observation.
Three tests before interpretation
Definition. Denominator. Causation.
Most alternative-data mistakes happen before the chart is drawn. A rigorous read begins by asking what the source actually counted.
VAHAN counts registrations, not factory dispatches. Life FYP is not total premium. A demat account is not a unique investor.
A 20% increase can be large or trivial depending on market size, seasonal base, company mix and the share of activity the source covers.
GST, e-way bills or web attention can move for reasons unrelated to the company in your portfolio. Use the signal to ask a better question, not to skip the answer.
Alternative-data questions
What investors should know.
What is alternative data in investing?
Alternative data is evidence about economic or company activity that sits outside the conventional financial statements and price tape. Examples include vehicle registrations, tax collections, e-way bills, app adoption, hiring, web attention, store counts and regulatory actions.
Does Altys use alternative data to predict stock prices?
No. Altys treats alternative data as dated evidence for research and monitoring. A change may strengthen or weaken a business question, but it does not establish causation or produce an automatic recommendation.
What alternative data does Altys track in India?
The Altys warehouse currently includes public-source series spanning vehicle registrations and retail, GST and e-way bills, fuel demand, demat accounts, mutual-fund flows, insurance premiums, hiring, apps, web attention, ratings actions, stores, pollution restrictions and US drug recalls. Coverage differs by series and company.
Why does point-in-time history matter?
Many public dashboards silently revise old values, and some live counters disappear when the current state changes. Point-in-time vintages record what Altys observed and when, which helps prevent later data from leaking into an earlier backtest or research decision.
Can the published trackers be verified?
Yes. The trackers name the original public authority, show observation and availability dates, explain the unit and publish a reproducible interpretation. They are static build snapshots, so opening a page does not trigger AI or a database query.
Altys alternative intelligence
Turn an outside signal into a monitored investment question.
Altys connects alternative data with company financials, filings, guidance, factors and portfolio context. The source stays visible; the conclusion remains yours.