STRASMORE/EXPLORE 2,170 QUERIES

Daily range and volume in a high yield bond ETF, month by month

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 2026-08-07, from How ETF Creation and Redemption Works.

as of ranking 9×3read in context →
Daily range and volume in a high yield bond ETF, month by month — 9 rows by 3 columns, computed from US exchange, SIP and OPRA data.
periodavg_day_range_pctavg_daily_volume_millions
Oct 20190.2417.4
Nov 20190.2215.9
Dec 20190.2217.7
Jan 20200.2923.2
Feb 20200.4835.2
Mar 20202.956.6
Apr 20201.4635.6
May 20200.7825.1
Jun 20200.9435.4
Rows × columns
9 × 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 range and volume in a high yield bond ETF, month by month, derived from the stored result.
ColumnTypeRangeNotes
period text 9 distinct values (Apr 2020, Dec 2019, Feb 2020…)
avg_day_range_pct number 0.22 to 2.9 percent
avg_daily_volume_millions number 15.9 to 56.6 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
SELECT
    formatDateTime(toStartOfMonth(date), '%b %Y')                             AS period,
    round(avg(100 * (toFloat64(high) - toFloat64(low)) / toFloat64(open)), 2) AS avg_day_range_pct,
    round(avg(volume) / 1000000, 1)                                          AS avg_daily_volume_millions
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'HYG'
  AND date >= '2019-10-01'
  AND date <  '2020-07-01'
GROUP BY period
ORDER BY min(date)

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 analysisHow ETF Creation and Redemption Works
Quoted spread against average share volume, US listed ETFs ranking 5×3 One session of SPY prints, sorted into trade size buckets ranking 4×4 Quoted spread through the session: large cap fund vs micro cap fund series 79×3 How far seven ETFs travel in a regular session, first half of 2026 ranking 7×3 Median move before and after European markets close, first half of 2026 ranking 4×3 Average minute bar range by ET clock time, second quarter 2026 series 26×4 See all 2,170 queries →