exchange_mic
Primary listing exchange as an ISO 10383 **MIC code**: `XNAS` = NASDAQ, `XNYS` = NYSE, `ARCX` = NYSE Arca, `BATS` = Cboe BZX, `XASE` = NYSE American. The `?exchange=` filter accepts either this code or the human name.
At a glance
| Type | text |
| Group | Profile |
| Category | Classification |
| Update cadence | post-close daily |
| Universe | all tickers |
| History | none — live row only, not historized (no as-of reads) |
| Nullable | yes — NULL where not applicable |
Categorical facts: sector, industry, SIC, exchange, country, currency, asset class and sub-class.
Query it
Every applicable form factor, grouped by endpoint family. Swap YOUR_KEY for the value from /dashboard/keys. Response payloads are real captures, sampled 2026-08-18 and trimmed — your run's values and dates will differ.
Use scan /v2/scan
The whole market through a WHERE clause — this signal composed freely with any other column. Docs →
curl -G "https://api.tickerbot.io/v2/scan" \
--data-urlencode "q=exchange_mic IS NOT NULL" \
-d "order=exchange_mic" -d "columns=exchange_mic" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:49.227Z",
"query": {
"q": "exchange_mic IS NOT NULL",
"limit": 2,
"order": "exchange_mic",
"dir": "desc",
"fields": [
"exchange_mic"
],
"full": false,
"universe": null,
"asset_class": null
},
"count": 2,
"results": [
{
"ticker": "A",
"name": "Agilent Technologies Inc.",
"asset_class": "stocks",
"asset_type": "CS",
"price": 147.295,
"day_change_pct": -0.0083,
"gap_pct": -0.0048,
"relative_volume": null,
"market_cap": 41949616642,
"exchange_mic": "XNYS"
},
{
"ticker": "AA",
"name": "Alcoa Corporation",
"asset_class": "stocks",
"asset_type": "CS",
"price": 51.857,
"day_change_pct": 0.0376,
"gap_pct": 0.0044,
"relative_volume": null,
"market_cap": 13190194061,
"exchange_mic": "XNYS"
}
]
}Same grammar on scan and webhooks. This column is live-tense only — it isn't historized, so ?asof= reads and series pulls don't carry it.