Docs/Sources/Global Market Index

Global Market Index

Compare Stock Market Performance by Country

OperationalCredits 2 per callp50 446msFinance

Overview

Index values come from the OECD share price series published on FRED, one monthly series per country, normalised so that the 2015 average equals 100 and not seasonally adjusted. A collector checks FRED every morning, keeps the newest reading as the current value and stores each year's months for history. `value` is that index level and `date` is the first day of the month it describes; `baseline` is always `2015=100`.

Without `year` and `month` you get the newest stored month. With them (paid plans) you get that exact month; `year` must be 2000 or later and not in the future, `month` must be 1 to 12, and sending `month` without `year` is rejected with a 400. A month that the series has not published yet returns a 404 rather than a nearby month.

`previousValue` and `previousDate` are the closest earlier stored month, and `changeDirection` compares the two. The paid `change1m` to `change12m` fields are percent changes against the reading exactly that many months earlier, rounded to four decimals, and are null when that month is missing. `changeYtd` is measured against the previous December, so for a January reading it equals `change1m`. `high12m`, `low12m` and `average12m` cover the twelve months ending at the returned one and need at least two stored readings. `history`, only on paid plans with `history=true`, lists those months oldest first.

Live Test Global Market Index Source →

Formula

One function covers the whole catalog: the first argument names the source, the next are its inputs, and the field after them says which single value lands in the cell. Formulas covers the grammar that applies to all of them.

=VERVE("globalstockmarket", A2, "countryName")

A2 holds the country you are looking up. Drag the formula down and each row resolves on its own.

With literal values

Nothing has to come from a cell — typed values work the same way.

=VERVE("globalstockmarket", "DE", "countryName")

Inputs

Required inputs are positional, in the order below, followed by the field. Everything else is passed as a "name", value pair after that — the same shape as SUMIFS. Premium inputs are accepted on every plan but only take effect on plans that include them.

InputTypeWhere it goesDescription
countryRequiredstringargument 2 (A2)ISO 2-letter country code
AUATBEBRCACHCLCN+28
length 2–2
yearOptionalPremiuminteger"year", valueYear to retrieve data for (2000-present). Requires month parameter.
range 2000–2030
monthOptionalPremiuminteger"month", valueMonth to retrieve data for (1-12). Required when year is specified.
range 1–12
historyOptionalPremiumboolean"history", valueInclude the 12 monthly readings ending at the returned month

Passing an option

=VERVE("globalstockmarket", A2, "countryName", "year", 2023)

What lands in your sheet

The field — the argument after the inputs — is what makes the formula resolve to one cell. Its value is a dot-path from the table below, so swapping it is how you pull a different value — one formula per column.

Seeing everything at once

Leave the field out and the formula returns the whole response instead: two columns, field name on the left and value on the right, spilling from the cell you typed in.

=VERVE("globalstockmarket", A2)
Good for exploring, not for filling down

The second row's table would land on top of the first's, and every cell after the first reads #REF! (#SPILL! in Excel). Keep one per sheet, or name a field, and leave the cells below and to the right empty.

Response fields

Paths are relative to data. Each one is exactly what the field argument accepts, so swapping it is how you pull a different value into a cell. On a plan without a Premium field the cell reads #PREMIUM(field) rather than a value, so a locked field never looks like a real answer.

Use as the fieldTypeExample cell valueDescription
countrystringDEISO 2-letter country code for the market
countryNamestringGermanyFull country name for the stock market
baselinestring2015=100Baseline year for index normalization (2015=100)
yearnumber2026Year of the returned data
monthnumber9Month of the returned data (1-12)
valuenumber159.6559Normalized share price index value (2015=100)
datestring2026-09-01Date of the data point (YYYY-MM-DD)
previousValuenumber163.2341Index value of the month before the returned one
previousDatestring2026-08-01Date of the previous month's reading (YYYY-MM-DD)
changeDirectionstringdownDirection of the move from the previous month: up, down or unchanged
change1mPremiumnumber-2.1921Percent change from one month earlier
change3mPremiumnumber2.3115Percent change from three months earlier
change6mPremiumnumber6.7657Percent change from six months earlier
change12mPremiumnumber5.4324Percent change from twelve months earlier
changeYtdPremiumnumber3.4851Percent change since the previous December's reading
high12mPremiumnumber163.2341Highest monthly value in the 12 months ending at the returned month
low12mPremiumnumber149.5385Lowest monthly value in the 12 months ending at the returned month
average12mPremiumnumber156.1535Average monthly value over the 12 months ending at the returned month
historyPremiumarray[12]The 12 monthly readings ending at the returned month, oldest first (when history=true)
history.0.datePremiumstring2025-10-01Date of the reading (YYYY-MM-DD)
history.0.valuePremiumnumber154.4256Normalized share price index value (2015=100)

Filling a whole column

Both platforms make one batched call for a column rather than one request per cell, and both cost the same — 2 credits per row looked up. How you write it differs, because the two runtimes batch at different points.

Rows 2–100 in one call
=VERVE("globalstockmarket", A2:A100, "countryName")

In Google Sheets, give the arguments ranges and the answers spill down from the cell you typed in. Custom functions there run synchronously and in isolation, so dragged cells cannot be coalesced — the range form is how a column becomes one call. The field is required here: a per-row two-column table has nowhere to spill. Use a full column per input (A2:A100, not A2) — a single-cell reference is read as row 1 only and the rest of the column comes back blank.

In Excel, type the formula once and fill down — no range form and none needed, because its runtime is asynchronous and the add-in coalesces the calls a fill produces into a single batched request. Do not hand VERVE.CALL a range: Excel flattens it into positional arguments, so A2:A100 arrives as a hundred separate arguments and the cell reads #ERR rather than filling.

Either way, column A holds your country values and the answers land beside them, one row each, blank rows skipped.

When a cell doesn't fill

A failed lookup returns readable text starting with #ERR rather than a spreadsheet error, because Excel cannot show a custom message on a real error — you would get a bare #VALUE! with no reason. The trade-off is that IFERROR() will not catch it; test with LEFT(cell, 4) = "#ERR" instead. Error handling covers the rest.

Cell readsWhat happened
#ERR Not connectedNo API key saved. Open the side panel and connect your account.
#ERR Replace <name> with a cell or valueA preview formula was copied as-is. Swap the placeholder for a cell reference.
#ERR No "x" in globalstockmarketAn option name this source does not take. The message lists the ones it does.
#ERR No data point "…"The field path is not in the response. Check it against the table above.
#PREMIUM(field)The field exists but your plan does not include it.
#ERR Out of creditsThe cycle's credits are spent. Usage resets on your billing date.

Before the formula works

The add-in reads the API key you saved once in the side panel — the key never goes in the formula, so a shared sheet does not leak it and a collaborator without access simply sees the last calculated values.

  1. Install the add-in for Google Sheets or Excel.
  2. Open the side panel and sign in, or paste a key from your dashboard.
  3. Type the formula above into any cell.

Use cases

Country Comparison
Compare stock market performance between countries like Germany vs France over the past decade
Economic Research
Analyze global market trends and correlations between national economies
Investment Analysis
Evaluate which country markets have outperformed or underperformed relative to 2015 baseline
Market Dashboards
Build global market overview dashboards showing performance across regions

Other ways to use Global Market Index

Set up Global Market Index on VerveSheets, or reach the same source a different way. Your VerveSheets account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →
Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContext →Reference →

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