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.
| ticker | avg_daily_gap_bps | max_daily_gap_bps |
|---|---|---|
| VOO | 1.44 | 32 |
| IVV | 1.57 | 27 |
| VTI | 6.48 | 35 |
| RSP | 40.88 | 138 |
- Rows × columns
- 4 × 3
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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.
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 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
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