Where listed symbols sit by price, and which band rule governs each zone
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 Why Stocks Halt: Limit Up-Limit Down Bands.
| price_zone | stock_count | share_of_tape_pct |
|---|---|---|
| under $0.75 | 698 | 5.4 |
| $0.75 to $3 | 979 | 7.6 |
| $3 to $20 | 3542 | 27.6 |
| $20 to $100 | 6491 | 50.6 |
| $100 to $500 | 1022 | 8 |
| $500 and up | 86 | 0.7 |
- Rows × columns
- 6 × 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 |
|---|---|---|---|
price_zone |
text | 6 distinct values ($0.75 to $3, $100 to $500, $20 to $100…) | |
stock_count |
number | 86 to 6,491 | count |
share_of_tape_pct |
number | 0.7 to 50.6 | 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
price_zone,
stock_count,
round(stock_count * 100.0 / sum(stock_count) OVER (), 1) AS share_of_tape_pct
FROM
(
SELECT
multiIf(last_price < 0.75, 'under $0.75',
last_price < 3, '$0.75 to $3',
last_price < 20, '$3 to $20',
last_price < 100, '$20 to $100',
last_price < 500, '$100 to $500',
'$500 and up') AS price_zone,
count() AS stock_count
FROM
(
SELECT
ticker,
toFloat64(argMax(close, window_start)) AS last_price
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= today() - 8
AND window_start < today() - 1
AND volume > 0
GROUP BY ticker
HAVING last_price > 0
)
GROUP BY price_zone
)
ORDER BY multiIf(price_zone = 'under $0.75', 1,
price_zone = '$0.75 to $3', 2,
price_zone = '$3 to $20', 3,
price_zone = '$20 to $100', 4,
price_zone = '$100 to $500', 5,
6)