Liquid-tape breadth: July 29 close vs July 28 close, $1M-traded filter
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 2026-08-01, from Market Recap: July 29, 2026, The Day in Numbers.
advancers
1,652
decliners
4,342
unchanged
72
liquid tickers
6,066
dropped by liquidity filter
5,363
advancer pct
27.2
- Rows × columns
- 1 × 6
- 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 |
|---|---|---|---|
advancers |
number | every row is 1,652 | |
decliners |
number | every row is 4,342 | |
unchanged |
number | every row is 72 | |
liquid_tickers |
number | every row is 6,066 | |
dropped_by_liquidity_filter |
number | every row is 5,363 | |
advancer_pct |
number | every row is 27.2 | 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.
the exact SQL behind every number
SELECT
countIf(c29 > c28 AND liquid) AS advancers,
countIf(c29 < c28 AND liquid) AS decliners,
countIf(c29 = c28 AND liquid) AS unchanged,
countIf(liquid) AS liquid_tickers,
countIf(NOT liquid) AS dropped_by_liquidity_filter,
round(100.0 * countIf(c29 > c28 AND liquid) / countIf(liquid), 1) AS advancer_pct
FROM (
SELECT ticker, c28, c29, dv29 >= 1000000 AS liquid
FROM (
SELECT ticker,
argMaxIf(toFloat64(close), window_start, window_start >= '2026-07-28 13:30:00' AND window_start < '2026-07-28 20:00:00') AS c28,
argMaxIf(toFloat64(close), window_start, window_start >= '2026-07-29 13:30:00' AND window_start < '2026-07-29 20:00:00') AS c29,
sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-29 13:30:00') AS dv29
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= '2026-07-28 13:30:00' AND window_start < '2026-07-29 20:00:00'
GROUP BY ticker
HAVING c28 > 0 AND c29 > 0
)
)
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