STRASMORE/EXPLORE 3,293 QUERIES

Growth of $100: a calm name (KO), the market (SPY), a wild name (NVDA), weekly

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 2026-10-17, from The Low-Volatility Anomaly.

as of series 114×4read in context →
Growth of $100: a calm name (KO), the market (SPY), a wild name (NVDA), weekly — 114 rows by 4 columns, computed from US exchange, SIP and OPRA data.
weekko_calmspy_marketnvda_wild
2024-08-12100.7104119
2024-08-19101.6105.5123.5
2024-08-26105.5105.8114
2024-09-02103.6101.498.2
2024-09-09104105.4113.7
2024-09-16104.3106.6110.8
2024-09-23104.5107.2115.9
2024-09-30102.1107.5119.3
2024-10-07101.3108.8128.7
2024-10-14102.6109.7131.8
2024-10-2197.5108.7135.1
2024-10-2894.6107.2129.3
2024-11-0493.1112.3140.9
2024-11-1189.9109.9135.6
2024-11-1893.1111.7135.5
2024-11-2593.3113.1132
2024-12-0291114.1136
2024-12-0991.9113.4128.2
2024-12-1691.2110.9128.9
2024-12-2391111.6131
2024-12-3089.9111.1138.1
2025-01-0688.9108.9129.7
2025-01-1391.3112.1131.6
2025-01-2090.2114.1136.2
2025-01-2792.4112.9114.6
2025-02-0393112.7124
2025-02-10100.3114.4132.6
2025-02-17104112.6128.2
2025-02-24103.7111.5119.4
2025-03-03104108.1107.6
2025-03-10100.7105.6116
2025-03-17100105.9112.3
2025-03-24102.5104.3104.7
2025-03-31101.894.990
2025-04-07103.9100.2105.7
2025-04-14106.398.896.9
2025-04-21104.7103.3106
2025-04-28104.3106.3109.2
2025-05-05102.7105.9111.4
2025-05-12104.9111.5129.2
2025-05-19104.5108.7125.4
2025-05-26105110.6128.8
2025-06-02103.9112.4135.3
2025-06-09103.4112135.6
2025-06-16100.3111.5137.3
2025-06-23102.4115.4150.6
2025-06-30103.9117.3152.1
2025-07-07101.8117157.5
2025-07-14101.7117.8164.6
2025-07-21100.7119.5165.7
2025-07-28100.3116.7165.8
2025-08-04102.4119.6174.5
2025-08-11101.9120.7172.3
2025-08-18102.1121.1170
2025-08-25100.5121166.4
2025-09-0199121.4159.5
2025-09-0897.6123.4169.8
2025-09-1596.8124.5168.6
2025-09-2295.6124.2170.2
2025-09-2997.1125.6179.2
2025-10-0697.6122.6174.9
2025-10-1399.7124.7175
2025-10-20101.5127.1177.9
2025-10-27100.3128193.3
2025-11-03102.7125.9179.8
2025-11-10103.6126.1181.7
2025-11-17106.3123.7170.9
2025-11-24106.5128.2169
2025-12-01101.9128.7174.1
2025-12-08102.7127.9167.1
2025-12-15102.1127.7172.8
2025-12-22101.8129.5182
2025-12-29100.6128.2180.3
2026-01-05102.7130.2176.5
2026-01-12102.6129.8177.8
2026-01-19106.1129.3179.2
2026-01-26109129.8182.7
2026-02-02115.1129.6177.1
2026-02-09114.6127.9174.6
2026-02-16116.3129.4181.3
2026-02-23118.8128.8169.2
2026-03-02112.2126.2169.7
2026-03-09112.6124.3172.2
2026-03-16108.9121.7165.2
2026-03-23110.2119159.9
2026-03-30111.7123.1169.4
2026-04-06112.8127.5180.2
2026-04-13110.3133.2192.6
2026-04-20111.6134198.8
2026-04-27114.4135.2189.5
2026-05-04114.2138.4205.5
2026-05-11117.7138.7215.2
2026-05-18118.7139.9205.6
2026-05-25115.1141.9201.7
2026-06-01115.8138.4195.9
2026-06-08120.3139.2195.9
2026-06-15115.6140.1200.7
2026-06-22120.3136.8183.1
2026-06-29122.3139.8185.8
2026-07-06121.6141.7201.5
2026-07-13118.8139.5193.5
2026-07-20119.8138.6197.7
2026-07-27127.5140.1191.8
2026-08-03126.8145.1213.8
2026-08-10127.7145.7215
2026-08-17132.7143.7205.1
2026-08-24130.5144.4207.8
2026-08-31128.3144.5220
2026-09-07128.5143.4208.4
2026-09-14128.3142.9212.1
2026-09-21127.9144.7215
2026-09-28124.7144.4223.5
2026-10-05128.2146.1219
2026-10-12136.6142.8204.1
Rows × columns
114 × 4
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 Growth of $100: a calm name (KO), the market (SPY), a wild name (NVDA), weekly, derived from the stored result.
ColumnTypeRangeNotes
week date 2024-08-12 to 2026-10-12
ko_calm number 88.9 to 136.6
spy_market number 94.9 to 146.1
nvda_wild number 90 to 223.5

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 d AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS dt,
           argMax(toFloat64(close), toTimeZone(window_start, 'America/New_York')) AS c
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('KO','SPY','NVDA')
      AND window_start >= now() - INTERVAL 800 DAY
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker, dt
),
r AS (
    SELECT ticker, dt,
           c / lagInFrame(c) OVER (PARTITION BY ticker ORDER BY dt) - 1 AS ret
    FROM d
),
f AS (
    SELECT ticker, dt, ret FROM r WHERE ret IS NOT NULL AND ret > -0.5 AND ret < 0.5
),
cum AS (
    SELECT ticker, dt,
           100 * exp(sum(log(1 + ret)) OVER (PARTITION BY ticker ORDER BY dt)) AS idx
    FROM f
),
wk AS (
    SELECT ticker, toMonday(dt) AS week, argMax(idx, dt) AS wv
    FROM cum GROUP BY ticker, week
)
SELECT week,
       round(maxIf(wv, ticker = 'KO'), 1) AS ko_calm,
       round(maxIf(wv, ticker = 'SPY'), 1) AS spy_market,
       round(maxIf(wv, ticker = 'NVDA'), 1) AS nvda_wild
FROM wk
GROUP BY week
ORDER BY week
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