threshold_trace
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 2026-10-01, from reading-an-event-contract-ladder.
| date | prob_above_pct | threshold_label |
|---|---|---|
| 2026-05-15 | 28.6 | 760 |
| 2026-05-18 | 31.8 | 760 |
| 2026-05-19 | 25.2 | 760 |
| 2026-05-20 | 33.4 | 760 |
| 2026-05-21 | 33.3 | 760 |
| 2026-05-22 | 38.4 | 760 |
| 2026-05-26 | 43.6 | 760 |
| 2026-05-27 | 43.4 | 760 |
| 2026-05-28 | 51 | 760 |
| 2026-05-29 | 52.2 | 760 |
| 2026-06-01 | 56.7 | 760 |
| 2026-06-02 | 58.1 | 760 |
| 2026-06-03 | 47.7 | 760 |
| 2026-06-04 | 52.5 | 760 |
| 2026-06-05 | 19.7 | 760 |
| 2026-06-08 | 21.7 | 760 |
| 2026-06-09 | 19.2 | 760 |
| 2026-06-10 | 10 | 760 |
| 2026-06-11 | 20.7 | 760 |
| 2026-06-12 | 20.8 | 760 |
| 2026-06-15 | 40.8 | 760 |
| 2026-06-16 | 29.3 | 760 |
| 2026-06-17 | 14 | 760 |
| 2026-06-18 | 22.3 | 760 |
| 2026-06-22 | 12.2 | 760 |
| 2026-06-23 | 2 | 760 |
| 2026-06-24 | 1 | 760 |
| 2026-06-25 | 0 | 760 |
- Rows × columns
- 28 × 3
- Period covered
- to
- 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 |
|---|---|---|---|
date |
date | 2026-05-15 to 2026-06-25 | |
prob_above_pct |
number | 0 to 58.1 | percent |
threshold_label |
text | 1 distinct value (760) |
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
pinned AS
(
SELECT max(date) AS as_of
FROM global_markets.options_greeks
WHERE underlying_symbol = 'SPY'
AND date <= '2026-05-29'
),
target AS
(
SELECT
expiration_date AS expiry,
toUInt32(round(avg(toFloat64(underlying_close)) / 10) * 10) AS k
FROM global_markets.options_greeks
WHERE underlying_symbol = 'SPY'
AND date = (SELECT as_of FROM pinned)
AND iv_converged = 1
AND volume > 0
AND delta > 0.01
AND delta < 0.99
AND days_to_expiry BETWEEN 20 AND 45
AND toDayOfWeek(expiration_date) = 5
GROUP BY expiration_date
ORDER BY sum(volume) DESC
LIMIT 1
),
daily AS
(
SELECT
date,
toUInt32(round(toFloat64(strike_price))) AS strike,
avg(toFloat64(option_close)) AS call_price
FROM global_markets.options_greeks
WHERE underlying_symbol = 'SPY'
AND expiration_date = (SELECT expiry FROM target)
AND date >= (SELECT as_of FROM pinned) - 14
AND date <= (SELECT expiry FROM target)
AND iv_converged = 1
AND volume > 0
AND delta > 0
AND abs(toInt32(round(toFloat64(strike_price))) - toInt32((SELECT k FROM target))) = 10
GROUP BY date, strike
)
SELECT
toString(a.date) AS date,
round(100 * greatest((a.call_price - b.call_price) / 20, 0), 1) AS prob_above_pct,
toString((SELECT k FROM target)) AS threshold_label
FROM daily AS a
INNER JOIN daily AS b ON b.date = a.date AND b.strike = a.strike + 20
ORDER BY a.date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.