Latest days to cover, and where it sits in five years of the same name's history
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 2026-09-20, from How to Read the COT Report: Columns Explained.
| symbol | snapshot_label | short_interest_millions | days_to_cover_ratio | percentile_5y_pct |
|---|---|---|---|---|
| AAPL | 2026-08-31 | 139.7 | 3.53 | 97 |
| NVDA | 2026-08-31 | 298.3 | 2.14 | 97 |
| JNJ | 2026-08-31 | 21.7 | 3.31 | 95 |
| MSFT | 2026-08-31 | 74.5 | 3.18 | 92 |
| KO | 2026-08-31 | 39.3 | 2.67 | 82 |
| XOM | 2026-08-31 | 39.7 | 2.72 | 65 |
- Rows × columns
- 6 × 5
- 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 |
|---|---|---|---|
symbol |
text | 6 distinct values (AAPL, JNJ, KO…) | |
snapshot_label |
date | 2026-08-31 | |
short_interest_millions |
number | 21.7 to 298.3 | |
days_to_cover_ratio |
number | 2.14 to 3.53 | ratio or rate |
percentile_5y_pct |
number | 65 to 97 | 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 history AS
(
SELECT
ticker,
settlement_date,
max(toFloat64(days_to_cover)) AS dtc,
max(toFloat64(short_interest)) AS si
FROM global_markets.stocks_short_interest
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'KO', 'XOM', 'JNJ')
AND settlement_date >= today() - 1825
AND days_to_cover > 0
GROUP BY ticker, settlement_date
),
latest AS
(
SELECT
ticker,
argMax(dtc, settlement_date) AS latest_dtc,
argMax(si, settlement_date) AS latest_si,
toString(max(settlement_date)) AS snapshot_label
FROM history
GROUP BY ticker
)
SELECT
l.ticker AS symbol,
l.snapshot_label AS snapshot_label,
round(l.latest_si / 1e6, 1) AS short_interest_millions,
round(l.latest_dtc, 2) AS days_to_cover_ratio,
round(100 * countIf(h.dtc <= l.latest_dtc) / count(), 0) AS percentile_5y_pct
FROM history AS h
INNER JOIN latest AS l ON h.ticker = l.ticker
GROUP BY l.ticker, l.snapshot_label, l.latest_si, l.latest_dtc
ORDER BY percentile_5y_pct DESC
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