STRASMORE/EXPLORE 3,293 QUERIES

spy_rr_series

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 2026-09-11, from what-skew-means-in-markets.

as of series 82×5read in context →
spy_rr_series — 82 rows by 5 columns, computed from US exchange, SIP and OPRA data.
datejourput_25d_iv_pctcall_25d_iv_pctrisk_reversal_pts
2025-04-0202/04/202513.6926.92-13.23
2025-05-1616/05/202516.0214.851.17
2025-02-0404/02/202515.9312.573.36
2025-02-1010/02/202514.8911.143.75
2025-03-2727/03/202518.5214.743.78
2025-03-2626/03/202518.3614.523.84
2025-03-2424/03/202517.7113.54.2
2025-05-1414/05/202518.3414.084.26
2025-03-2828/03/202521.2516.964.3
2025-02-1313/02/202514.6610.14.56
2025-02-1414/02/202514.349.774.57
2025-02-0707/02/202515.7611.154.61
2025-02-0606/02/202515.2610.644.62
2025-05-1212/05/202518.3513.694.66
2025-02-1111/02/202515.2910.444.85
2025-02-1919/02/202514.579.694.88
2025-02-0505/02/202515.7410.844.9
2025-03-3131/03/202521.6116.694.92
2025-03-2525/03/202517.7412.495.25
2025-05-1515/05/202518.4213.145.29
2025-05-2929/05/202519.2713.855.42
2025-04-1515/04/202528.0522.625.43
2025-05-1313/05/202518.2612.785.48
2025-02-1818/02/202515.29.635.57
2025-02-2020/02/202514.999.415.58
2025-02-1212/02/202515.8910.25.69
2025-05-0808/05/202522.5116.695.82
2025-04-2929/04/202524.5718.476.1
2025-03-1717/03/202521.215.096.11
2025-03-2121/03/202520.3914.166.23
2025-02-2424/02/202518.4812.166.32
2025-05-3030/05/202519.5613.26.37
2025-03-2020/03/202520.7514.26.56
2025-04-0303/04/202528.5221.926.6
2025-05-2020/05/202519.0712.466.61
2025-05-0505/05/202523.6417.026.61
2025-02-2121/02/202517.8211.066.76
2025-05-2222/05/202520.9614.176.79
2025-03-1010/03/202527.2620.436.83
2025-05-0101/05/202524.7617.876.89
2025-03-1414/03/202522.8815.867.02
2025-05-1919/05/202519.4212.347.07
2025-03-0505/03/202522.0714.917.16
2025-03-1818/03/202522.7515.567.19
2025-02-2626/02/202519.5312.317.21
2025-05-2727/05/20252012.737.26
2025-05-0909/05/202523.0615.797.27
2025-05-0202/05/202523.3716.047.33
2025-02-0303/02/202518.8411.497.35
2025-03-0707/03/202523.5316.147.39
2025-02-2727/02/202521.4614.087.39
2025-05-2121/05/202521.6214.227.4
2025-04-0101/04/202522.5415.057.49
2025-03-1919/03/202521.2513.77.55
2025-05-0707/05/202524.5716.937.64
2025-04-2828/04/20252618.127.88
2025-02-2525/02/202519.7611.87.96
2025-03-1111/03/202527.03198.03
2025-04-1414/04/202530.6722.528.16
2025-04-2525/04/202526.0217.868.16
2025-02-2828/02/202520.3612.178.19
2025-04-2323/04/202529.3921.198.2
2025-05-2323/05/202523.2114.958.27
2025-03-0303/03/202523.0114.368.66
2025-04-1717/04/202530.5621.888.69
2025-04-2424/04/202527.74198.75
2025-03-1212/03/202525.3116.458.85
2025-03-0606/03/202525.6916.768.92
2025-03-1313/03/202526.3917.389.01
2025-03-0404/03/202524.5713.9410.63
2025-04-1616/04/202533.2822.6410.64
2025-04-0808/04/202549.1438.2410.9
2025-04-2121/04/202535.2924.3310.96
2025-05-0606/05/202526.6215.3511.26
2025-04-3030/04/202527.7115.9211.78
2025-04-1010/04/202541.9929.6512.34
2025-04-0404/04/202543.5530.9812.57
2025-04-1111/04/202538.7225.0613.66
2025-04-0909/04/202533.8620.1713.69
2025-05-2828/05/202523.129.0814.04
2025-04-0707/04/202547.5729.7917.78
2025-04-2222/04/202535.6117.8117.79
Rows × columns
82 × 5
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for spy_rr_series, derived from the stored result.
ColumnTypeRangeNotes
date date 2025-02-03 to 2025-05-30
jour text 82 distinct values (01/04/2025, 01/05/2025, 02/04/2025…)
put_25d_iv_pct number 13.69 to 49.14 percent
call_25d_iv_pct number 9.08 to 38.24 percent
risk_reversal_pts number -13.23 to 17.79

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
    date,
    formatDateTime(date, '%d/%m/%Y')                                            AS jour,
    round(avgIf(implied_volatility, delta BETWEEN -0.30 AND -0.20) * 100, 2)   AS put_25d_iv_pct,
    round(avgIf(implied_volatility, delta BETWEEN  0.20 AND  0.30) * 100, 2)   AS call_25d_iv_pct,
    round((avgIf(implied_volatility, delta BETWEEN -0.30 AND -0.20)
         - avgIf(implied_volatility, delta BETWEEN  0.20 AND  0.30)) * 100, 2) AS risk_reversal_pts
FROM global_markets.options_greeks
WHERE underlying_symbol = 'SPY'
  AND date BETWEEN toDate('2025-02-03') AND toDate('2025-05-30')
  AND days_to_expiry BETWEEN 20 AND 45
  AND iv_converged = 1
  AND volume > 0
GROUP BY date
HAVING countIf(delta BETWEEN -0.30 AND -0.20) > 0
   AND countIf(delta BETWEEN  0.20 AND  0.30) > 0
ORDER BY risk_reversal_pts ASC
⌘/Ctrl + Enter

Travaillez ces données dans votre assistant IA

S'ouvre prêt à interroger, avec les données de cette page. Gratuit, sans compte.