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Sharpe against Sortino, six names, calendar 2025

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 What Is the Sharpe Ratio? Formula and Math.

as of ranking 6×4read in context →
Sharpe against Sortino, six names, calendar 2025 — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolsharpe_ratiosortino_ratiodown_day_pct
NVDA0.831.1846.4
QQQ0.731.0842.8
SPY0.681.0144.4
MSFT0.520.8246.4
KO0.510.7850.8
AAPL0.280.4348.4
Rows × columns
6 × 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 Sharpe against Sortino, six names, calendar 2025, derived from the stored result.
ColumnTypeRangeNotes
symbol text 6 distinct values (AAPL, KO, MSFT…)
sharpe_ratio number 0.28 to 0.83 ratio or rate
sortino_ratio number 0.43 to 1.18 ratio or rate
down_day_pct number 42.8 to 50.8 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.

the exact SQL behind every number
WITH
    daily AS
    (
        SELECT
            ticker                                               AS symbol,
            toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
            argMax(toFloat64(close), window_start)               AS close_px
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker IN ('SPY', 'QQQ', 'AAPL', 'MSFT', 'NVDA', 'KO')
          AND window_start >= toDateTime('2024-12-24 00:00:00')
          AND window_start <  toDateTime('2026-01-01 05:00:00')
          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 symbol, session_date
    ),
    stepped AS
    (
        SELECT
            symbol,
            session_date,
            close_px,
            lagInFrame(close_px, 1) OVER (PARTITION BY symbol ORDER BY session_date
                                          ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_px
        FROM daily
    ),
    excess AS
    (
        SELECT
            symbol,
            close_px / prev_px - 1 - 0.0425 / 252 AS ex_ret
        FROM stepped
        WHERE prev_px > 0
          AND session_date >= toDate('2025-01-01')
    )
SELECT
    symbol,
    round(avg(ex_ret) / stddevSamp(ex_ret) * sqrt(252), 2)                     AS sharpe_ratio,
    round(avg(ex_ret) / sqrt(avg(pow(least(ex_ret, 0.0), 2))) * sqrt(252), 2)  AS sortino_ratio,
    round(countIf(ex_ret < 0) * 100.0 / count(), 1)                            AS down_day_pct
FROM excess
GROUP BY symbol
HAVING count() > 200 AND countIf(ex_ret < 0) > 0
ORDER BY sortino_ratio DESC

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