drift_since_snapshot
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 2026-09-28, from how-often-mutual-funds-change-holdings.
| ticker | close_at_quarter_end | latest_close | change_pct |
|---|---|---|---|
| MSFT | 373.02 | 512.49 | 37.4 |
| AAPL | 289.36 | 339.55 | 17.3 |
| NVDA | 200.09 | 227.53 | 13.7 |
| KO | 81.27 | 87.99 | 8.3 |
| JNJ | 253.97 | 270.74 | 6.6 |
| SPY | 746.77 | 767.64 | 2.8 |
- Rows × columns
- 6 × 4
- 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 | 6 distinct values (AAPL, JNJ, KO…) | |
close_at_quarter_end |
number | 81.27 to 746.77 | US dollars |
latest_close |
number | 87.99 to 767.64 | US dollars |
change_pct |
number | 2.8 to 37.4 | percent |
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.
WITH
(
SELECT max(date)
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date < toStartOfQuarter(today())
) AS snapshot_date,
(
SELECT max(date)
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
) AS latest_date
SELECT
ticker,
round(toFloat64(anyIf(close, date = snapshot_date)), 2) AS close_at_quarter_end,
round(toFloat64(anyIf(close, date = latest_date)), 2) AS latest_close,
round(100 * (toFloat64(anyIf(close, date = latest_date))
/ toFloat64(anyIf(close, date = snapshot_date)) - 1), 1) AS change_pct
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'KO', 'JNJ', 'SPY')
AND date IN (snapshot_date, latest_date)
GROUP BY ticker
HAVING countIf(date = snapshot_date) > 0
AND countIf(date = latest_date) > 0
ORDER BY abs(change_pct) DESC
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