STRASMORE/EXPLORE 2,170 QUERIES

Daily tracking difference against SPY: broad US equity funds, first half of 2026

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 2026-08-01, from Selling Mutual Funds at a Loss: How Basis Works.

as of ranking 4×3read in context →
Daily tracking difference against SPY: broad US equity funds, first half of 2026 — 4 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickeravg_daily_gap_bpsmax_daily_gap_bps
VOO1.4432
IVV1.5727
VTI6.4835
RSP40.88138
Rows × columns
4 × 3
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 Daily tracking difference against SPY: broad US equity funds, first half of 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 4 distinct values (IVV, RSP, VOO…)
avg_daily_gap_bps number 1.44 to 40.88
max_daily_gap_bps number 27 to 138

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,
           toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
           argMax(close, window_start) AS close_price
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'VOO', 'IVV', 'SPLG', 'VTI', 'RSP')
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2026-01-02')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker, session_date
),
with_prior AS (
    SELECT ticker,
           session_date,
           close_price,
           lagInFrame(close_price) OVER (PARTITION BY ticker ORDER BY session_date) AS prior_close
    FROM daily
),
moves AS (
    SELECT ticker, session_date, close_price / prior_close - 1 AS daily_move
    FROM with_prior
    WHERE prior_close > 0
),
benchmark AS (
    SELECT session_date, daily_move
    FROM moves
    WHERE ticker = 'SPY'
)
SELECT m.ticker AS ticker,
       round(avg(abs(m.daily_move - b.daily_move)) * 10000, 2) AS avg_daily_gap_bps,
       round(max(abs(m.daily_move - b.daily_move)) * 10000, 2) AS max_daily_gap_bps
FROM moves AS m
INNER JOIN benchmark AS b ON m.session_date = b.session_date
WHERE m.ticker != 'SPY'
GROUP BY m.ticker
ORDER BY avg_daily_gap_bps ASC

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 analysisSelling Mutual Funds at a Loss: How Basis Works
The same monthly lots ranked by per share result at the December 2022 price ranking 18×3 Distribution cadence: index and income funds, twelve months to June 30, 2026 ranking 9×4 A monthly buyer's lot prices and running average cost: VTI, July 2021 to December 2022 series 18×4 Average call and put delta by strike distance, AAPL, 20 to 45 days to expiry, June 2026 ranking 5×4 One full 61 day wash sale window on the tape: AAPL, Dec 1 2025 through Jan 30 2026 series 42×3 How many trading sessions fit inside a 61 day wash sale window series 30×4 See all 2,170 queries →