STRASMORE/EXPLORE 2,170 QUERIES

Beta, price ratio, and SPY-share equivalent per share held

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 2026-08-06, from Portfolio Delta and Beta Weighting Explained.

as of ranking 7×4read in context →
Beta, price ratio, and SPY-share equivalent per share held — 7 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerbeta_vs_spyprice_vs_spyspy_shares_per_share
NVDA1.860.2680.498
SPY111
AAPL0.880.3870.342
MSFT0.820.50.407
JNJ-0.10.34-0.032
KO-0.270.109-0.03
XOM-0.360.183-0.067
Rows × columns
7 × 4
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 Beta, price ratio, and SPY-share equivalent per share held, derived from the stored result.
ColumnTypeRangeNotes
ticker text 7 distinct values (AAPL, JNJ, KO…)
beta_vs_spy number -0.36 to 1.86
price_vs_spy number 0.109 to 1 US dollars
spy_shares_per_share number -0.067 to 1 count

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.

the exact SQL behind every number
WITH
    sessions AS
    (
        SELECT
            ticker                                               AS ticker,
            toDate(toTimeZone(window_start, 'America/New_York')) AS d,
            toFloat64(argMax(close, window_start))               AS px
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker IN ('SPY', 'NVDA', 'AAPL', 'MSFT', 'XOM', 'JNJ', 'KO')
          AND window_start >= toDateTime('2025-07-01 04:00:00')
          AND window_start <  toDateTime('2026-07-01 04:00:00')
          AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
             + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
          AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
             + toMinute(toTimeZone(window_start, 'America/New_York'))) <  960
        GROUP BY ticker, d
    ),
    steps AS
    (
        SELECT
            ticker,
            d,
            px,
            any(px) OVER (PARTITION BY ticker ORDER BY d ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_px
        FROM sessions
    ),
    daily_ret AS
    (
        SELECT ticker, d, (px / prev_px) - 1 AS r
        FROM steps
        WHERE prev_px > 0
    ),
    bench AS
    (
        SELECT d, r AS spy_r
        FROM daily_ret
        WHERE ticker = 'SPY'
    ),
    betas AS
    (
        SELECT
            s.ticker                                 AS ticker,
            covarPop(s.r, b.spy_r) / varPop(b.spy_r) AS beta_vs_spy,
            1                                        AS k
        FROM daily_ret AS s
        INNER JOIN bench AS b ON b.d = s.d
        GROUP BY s.ticker
    ),
    prices AS
    (
        SELECT ticker, argMax(px, d) AS close_px
        FROM sessions
        GROUP BY ticker
    ),
    spy_price AS
    (
        SELECT argMax(px, d) AS spy_close, 1 AS k
        FROM sessions
        WHERE ticker = 'SPY'
    )
SELECT
    betas.ticker                                                        AS ticker,
    round(betas.beta_vs_spy, 2)                                         AS beta_vs_spy,
    round(prices.close_px / spy_price.spy_close, 3)                     AS price_vs_spy,
    round(betas.beta_vs_spy * prices.close_px / spy_price.spy_close, 3) AS spy_shares_per_share
FROM betas
INNER JOIN prices ON prices.ticker = betas.ticker
INNER JOIN spy_price ON spy_price.k = betas.k
ORDER BY beta_vs_spy DESC

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisPortfolio Delta and Beta Weighting Explained
AAPL call and put delta across the strike ladder, 20 to 45 days to expiry ranking 12×4 The same two betas, measured over six different lookback windows ranking 6×3 A three-leg book, raw delta against beta weighted delta table 3×6 Average call and put delta by strike distance from spot (SPY, 25 to 35 days to expiry, June 2026) ranking 11×3 Shares a 1% move forces per 100 at-the-money SPY contracts, by time left (June 2026) ranking 5×2 Total daily movement versus net movement, June 2026 ranking 4×4 See all 2,170 queries →