S&P 500 tracker moves after each fifth of the equity put/call ratio, 2022 to July 2026
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 2026-08-03, from Is a High Put/Call Ratio Bullish?.
| pcr_band | observations | band_floor_ratio | fwd_5d_median_pct | fwd_20d_median_pct | fwd_20d_p25_pct | fwd_20d_p75_pct |
|---|---|---|---|---|---|---|
| lowest fifth | 226 | 0.34 | 0.3 | 0.91 | -0.83 | 2.67 |
| second fifth | 225 | 0.56 | 0.7 | 1.87 | -0.27 | 3.35 |
| middle fifth | 226 | 0.63 | 0.14 | 1.31 | -3.47 | 3.9 |
| fourth fifth | 225 | 0.71 | 0.17 | 0.83 | -2.58 | 4.16 |
| highest fifth | 226 | 0.81 | 0.82 | 3 | -1.82 | 5.71 |
- Rows × columns
- 5 × 7
- 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 |
|---|---|---|---|
pcr_band |
text | 5 distinct values | |
observations |
number | 225 to 226 | |
band_floor_ratio |
number | 0.34 to 0.81 | ratio or rate |
fwd_5d_median_pct |
number | 0.14 to 0.82 | percent |
fwd_20d_median_pct |
number | 0.83 to 3 | percent |
fwd_20d_p25_pct |
number | -3.47 to -0.27 | percent |
fwd_20d_p75_pct |
number | 2.67 to 5.71 | 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.
WITH raw AS (
SELECT date AS day,
sumIf(volume, upper(substring(ticker, length(ticker) - 8, 1)) = 'P') AS put_volume,
sumIf(volume, upper(substring(ticker, length(ticker) - 8, 1)) = 'C') AS call_volume
FROM global_markets.options_greeks
WHERE date >= toDate('2022-01-01')
AND date <= toDate('2026-07-31')
AND volume > 0
AND underlying_symbol IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'META',
'TSLA', 'GOOGL', 'JPM', 'KO', 'XOM')
GROUP BY day
HAVING call_volume > 0
),
equity_pcr AS (
SELECT day, toFloat64(put_volume) / toFloat64(call_volume) AS pcr
FROM raw
),
spy_daily AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS day,
toFloat64(argMax(close, window_start)) AS close
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2022-01-01')
AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-08-01')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY day
),
forward AS (
SELECT day,
close,
any(close) OVER (ORDER BY day ASC ROWS BETWEEN 5 FOLLOWING AND 5 FOLLOWING) AS close_5,
any(close) OVER (ORDER BY day ASC ROWS BETWEEN 20 FOLLOWING AND 20 FOLLOWING) AS close_20
FROM spy_daily
),
joined AS (
SELECT p.day AS day,
p.pcr AS pcr,
100 * (f.close_5 / f.close - 1) AS fwd_5d_pct,
100 * (f.close_20 / f.close - 1) AS fwd_20d_pct
FROM equity_pcr AS p
INNER JOIN forward AS f ON p.day = f.day
WHERE f.close_5 > 0 AND f.close_20 > 0
),
cuts AS (
SELECT quantilesDeterministic(0.2, 0.4, 0.6, 0.8)(pcr, cityHash64(day)) AS q
FROM joined
)
SELECT multiIf(pcr < q[1], 'lowest fifth',
pcr < q[2], 'second fifth',
pcr < q[3], 'middle fifth',
pcr < q[4], 'fourth fifth',
'highest fifth') AS pcr_band,
count() AS observations,
round(min(pcr), 2) AS band_floor_ratio,
round(quantileDeterministic(0.5)(fwd_5d_pct, cityHash64(day)), 2) AS fwd_5d_median_pct,
round(quantileDeterministic(0.5)(fwd_20d_pct, cityHash64(day)), 2) AS fwd_20d_median_pct,
round(quantileDeterministic(0.25)(fwd_20d_pct, cityHash64(day)), 2) AS fwd_20d_p25_pct,
round(quantileDeterministic(0.75)(fwd_20d_pct, cityHash64(day)), 2) AS fwd_20d_p75_pct
FROM joined CROSS JOIN cuts
GROUP BY pcr_band
ORDER BY band_floor_ratio ASC
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