wick_vs_close
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 2026-09-27, from support-and-resistance-explained.
| ticker | poked_then_closed_under | closed_clean_above |
|---|---|---|
| AAPL | 111 | 148 |
| MSFT | 112 | 147 |
| NVDA | 97 | 145 |
| SPY | 157 | 213 |
- Rows × columns
- 4 × 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 | 4 distinct values (AAPL, MSFT, NVDA…) | |
poked_then_closed_under |
number | 97 to 157 | |
closed_clean_above |
number | 145 to 213 |
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.
WITH bars AS
(
SELECT
ticker,
date,
toFloat64(close) AS close_px,
toFloat64(high) AS high_px
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA')
AND date >= '2019-01-01'
AND date < '2026-09-20'
),
levels AS
(
SELECT
ticker,
date,
close_px,
high_px,
max(high_px) OVER (PARTITION BY ticker ORDER BY date ASC ROWS BETWEEN 63 PRECEDING AND 1 PRECEDING) AS swing_high
FROM bars
)
SELECT
ticker,
countIf(high_px > swing_high AND close_px <= swing_high) AS poked_then_closed_under,
countIf(close_px > swing_high) AS closed_clean_above
FROM levels
WHERE date >= '2019-04-01'
AND date < '2026-09-01'
GROUP BY ticker
ORDER BY ticker
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.