Trailing 20-session average volume, four household tickers, millions of shares
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-04, from Free Stock Market Data API in Python.
| ticker | avg_20d_millions | first_session | last_session |
|---|---|---|---|
| NVDA | 110 | 2026-09-04 | 2026-10-02 |
| SPY | 46 | 2026-09-04 | 2026-10-02 |
| AAPL | 42.2 | 2026-09-04 | 2026-10-02 |
| MSFT | 21.3 | 2026-09-04 | 2026-10-02 |
- Rows × columns
- 4 × 4
- Period covered
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
ticker |
text | 4 distinct values (AAPL, MSFT, NVDA…) | |
avg_20d_millions |
number | 21.3 to 110 | |
first_session |
date | 2026-09-04 | |
last_session |
date | 2026-10-02 |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
SELECT
ticker,
round(avg(vol) / 1e6, 1) AS avg_20d_millions,
toString(min(d)) AS first_session,
toString(max(d)) AS last_session
FROM
(
SELECT
ticker,
d,
vol,
row_number() OVER (PARTITION BY ticker ORDER BY d DESC) AS rn
FROM
(
SELECT
ticker,
date AS d,
toFloat64(max(volume)) AS vol
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('SPY', 'NVDA', 'AAPL', 'MSFT')
AND date >= today() - 45
AND date < today()
GROUP BY ticker, date
)
)
WHERE rn <= 20
GROUP BY ticker
HAVING count() = 20
ORDER BY avg_20d_millions DESC
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.