rotation_quotidienne
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 2026-10-01, from block-trades-on-euronext-paris.
| ticker | rotation_mediane_musd |
|---|---|
| NVDA | 28183.8 |
| AAPL | 13199.9 |
| MSFT | 13015.7 |
| KO | 1204.7 |
| PFE | 940 |
| GIS | 326.2 |
| HOG | 58 |
| PBI | 32.7 |
- Rows × columns
- 8 × 2
- 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 | 8 distinct values (AAPL, GIS, HOG…) | |
rotation_mediane_musd |
number | 32.7 to 28,183.8 |
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(quantileDeterministic(0.5)(toFloat64(close) * toFloat64(volume), toUInt32(date)) / 1e6, 1) AS rotation_mediane_musd
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('NVDA', 'AAPL', 'MSFT', 'PFE', 'KO', 'GIS', 'HOG', 'PBI')
AND date >= today() - 190
AND date < today() - 2
GROUP BY ticker
HAVING count() >= 60
ORDER BY rotation_mediane_musd DESC
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