limit_room
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 2026-10-02, from stop-order-vs-limit-order.
| ticker | median_range_bps | dip_below_open_pct |
|---|---|---|
| NVDA | 283 | 81.2 |
| AAPL | 191 | 63.2 |
| MSFT | 147 | 61.6 |
| KO | 129 | 60.4 |
| SPY | 90 | 44.4 |
- Rows × columns
- 5 × 3
- 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 | 5 distinct values (AAPL, KO, MSFT…) | |
median_range_bps |
number | 90 to 283 | |
dip_below_open_pct |
number | 44.4 to 81.2 | 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.
SELECT
ticker,
round(quantileDeterministic(0.5)(
(toFloat64(high) / toFloat64(low) - 1) * 10000,
toUInt64(toYYYYMMDD(date))
), 0) AS median_range_bps,
round(countIf(toFloat64(low) <= toFloat64(open) * 0.995) * 100.0 / count(), 1) AS dip_below_open_pct
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'KO', 'SPY')
AND date >= '2025-01-01'
AND date < '2026-01-01'
AND toFloat64(low) > 0
AND toFloat64(open) > 0
GROUP BY ticker
ORDER BY median_range_bps DESC
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