STRASMORE/EXPLORE 2,648 QUERIES

paths

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 rsp-vs-spy-equal-weight-sp-500.

as of series 92×5read in context →
paths — 92 rows by 5 columns, computed from US exchange, SIP and OPRA data.
monthrsp_indexspy_indexrsp_per_spymonth_label
2019-011001001Jan 2019
2019-02103.7103.21.004Feb 2019
2019-03104.1104.60.994Mar 2019
2019-04107.8108.90.99Apr 2019
2019-05100.31020.984May 2019
2019-06107.4108.50.989Jun 2019
2019-07108.3110.20.983Jul 2019
2019-08104.8108.30.967Aug 2019
2019-09107.7109.90.979Sep 2019
2019-10109112.40.97Oct 2019
2019-11112.7116.40.968Nov 2019
2019-12115.3119.20.967Dec 2019
2020-01113.1119.20.949Jan 2020
2020-02103.1109.80.939Feb 2020
2020-0383.795.50.877Mar 2020
2020-0495.8107.60.89Apr 2020
2020-05100.3112.70.89May 2020
2020-06101.4114.20.887Jun 2020
2020-07106.41210.88Jul 2020
2020-08111129.40.858Aug 2020
2020-09107.7124.10.868Sep 2020
2020-10107.11210.885Oct 2020
2020-11122.4134.10.913Nov 2020
2020-12127.1138.50.917Dec 2020
2021-01126137.10.919Jan 2021
2021-02133.7140.90.949Feb 2021
2021-03141.1146.80.961Mar 2021
2021-04147.7154.60.956Apr 2021
2021-05150.6155.60.968May 2021
2021-06150.2158.60.947Jun 2021
2021-07152.1162.50.936Jul 2021
2021-08155.7167.30.931Aug 2021
2021-09149.31590.939Sep 2021
2021-10157.2170.10.924Oct 2021
2021-11153168.80.907Nov 2021
2021-12162.21760.922Dec 2021
2022-01155.1166.70.93Jan 2022
2022-02153.7161.80.95Feb 2022
2022-03157.1167.30.939Mar 2022
2022-04146.9152.60.962Apr 2022
2022-05148.41530.97May 2022
2022-06133.7139.80.957Jun 2022
2022-07145.3152.60.952Jul 2022
2022-08140.2146.40.958Aug 2022
2022-09126.8132.30.958Sep 2022
2022-10139143.10.972Oct 2022
2022-11148.31510.982Nov 2022
2022-12140.7141.70.993Dec 2022
2023-01151.2150.61.004Jan 2023
2023-02146.1146.80.995Feb 2023
2023-03144.1151.70.95Mar 2023
2023-04144.6154.10.938Apr 2023
2023-05139.1154.80.899May 2023
2023-06149.1164.20.908Jun 2023
2023-07154.3169.60.91Jul 2023
2023-08149.4166.80.895Aug 2023
2023-09141.2158.40.891Sep 2023
2023-10135.3154.90.873Oct 2023
2023-11147.8169.10.874Nov 2023
2023-12157.2176.10.893Dec 2023
2024-01155.9178.90.871Jan 2024
2024-02162.2188.20.862Feb 2024
2024-03168.7193.80.871Mar 2024
2024-04160.61860.864Apr 2024
2024-05165.2195.40.845May 2024
2024-06163.7201.60.812Jun 2024
2024-07171204.10.838Jul 2024
2024-08175.2208.80.839Aug 2024
2024-09178.5212.60.84Sep 2024
2024-10175.6210.70.834Oct 2024
2024-11186.9223.20.837Nov 2024
2024-12174.6217.10.804Dec 2024
2025-01180.62230.81Jan 2025
2025-02179.5220.10.816Feb 2025
2025-03172.6207.20.833Mar 2025
2025-04168.5205.40.82Apr 2025
2025-05175.8218.30.805May 2025
2025-06181.1228.90.791Jun 2025
2025-07183234.20.781Jul 2025
2025-08187.92390.786Aug 2025
2025-09189246.80.766Sep 2025
2025-10187.2252.70.741Oct 2025
2025-11190.8253.20.754Nov 2025
2025-12190.9252.60.755Dec 2025
2026-01197.3256.40.77Jan 2026
2026-02204.2254.10.804Feb 2026
2026-03191.2240.90.794Mar 2026
2026-04202.7266.20.761Apr 2026
2026-05208.1280.30.742May 2026
2026-06212276.70.766Jun 2026
2026-07214.2276.70.774Jul 2026
2026-08218.6284.20.769Aug 2026
Rows × columns
92 × 5
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 paths, derived from the stored result.
ColumnTypeRangeNotes
month text 92 distinct values (2019-01, 2019-02, 2019-03…)
rsp_index number 83.7 to 218.6
spy_index number 95.5 to 284.2
rsp_per_spy number 0.741 to 1.004
month_label text 92 distinct values (Apr 2019, Apr 2020, Apr 2021…)

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
    formatDateTime(m, '%Y-%m')                                                 AS month,
    round(100 * rsp_close / first_value(rsp_close) OVER (ORDER BY m), 1)       AS rsp_index,
    round(100 * spy_close / first_value(spy_close) OVER (ORDER BY m), 1)       AS spy_index,
    round((rsp_close / first_value(rsp_close) OVER (ORDER BY m))
        / (spy_close / first_value(spy_close) OVER (ORDER BY m)), 3)           AS rsp_per_spy,
    formatDateTime(m, '%b %Y')                                                 AS month_label
FROM
(
    SELECT
        toStartOfMonth(date)                                AS m,
        argMaxIf(toFloat64(close), date, ticker = 'RSP')     AS rsp_close,
        argMaxIf(toFloat64(close), date, ticker = 'SPY')     AS spy_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('RSP', 'SPY')
      AND date >= toDate('2019-01-01')
      AND date <  toStartOfMonth(today())
    GROUP BY m
)
ORDER BY m
⌘/Ctrl + Enter

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