fast_minutes
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 2026-09-26, from agentic-trading-bots-on-retail-brokerages.
| ticker | fast_minute_count | widest_minute_range_pct | avg_minute_range_pct |
|---|---|---|---|
| NVDA | 313 | 5.64 | 0.086 |
| MSFT | 209 | 5.3 | 0.072 |
| AAPL | 111 | 5.17 | 0.065 |
| SPY | 30 | 3.88 | 0.03 |
| KO | 26 | 4.83 | 0.057 |
- Rows × columns
- 5 × 4
- 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…) | |
fast_minute_count |
number | 26 to 313 | count |
widest_minute_range_pct |
number | 3.88 to 5.64 | percent |
avg_minute_range_pct |
number | 0.03 to 0.086 | 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,
countIf(toFloat64(high) / toFloat64(low) - 1 >= 0.01) AS fast_minute_count,
round(100 * max(toFloat64(high) / toFloat64(low) - 1), 2) AS widest_minute_range_pct,
round(100 * avg(toFloat64(high) / toFloat64(low) - 1), 3) AS avg_minute_range_pct
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'MSFT', 'KO')
AND window_start >= '2026-01-02 00:00:00'
AND window_start < '2026-09-19 00:00:00'
AND low > 0
GROUP BY ticker
ORDER BY fast_minute_count DESC
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