What Is the TTM Squeeze? Formula and Limits
Bollinger width against Keltner width, KO, first quarter 2026series ·
2026-09-27 · 61×5
Share of sessions in a squeeze, six liquid names, three yearsranking ·
2026-09-27 · 6×3
Squeeze sessions found by each parameter set, KO, three yearsranking ·
2026-09-27 · 6×3
What the next ten sessions did, squeeze against no squeezeranking ·
2026-09-27 · 2×4
Bollinger width against Keltner width, KO, first quarter 2026
Bollinger width against Keltner width, KO, first quarter 2026
| date | date_label | bb_width_pct | kc_width_pct | squeeze_ratio |
|---|---|---|---|---|
| 2026-01-02 | Jan 2 | 2.44 | 3.39 | 0.719 |
| 2026-01-05 | Jan 5 | 3.61 | 3.45 | 1.047 |
| 2026-01-06 | Jan 6 | 4.5 | 3.42 | 1.318 |
| 2026-01-07 | Jan 7 | 5.35 | 3.4 | 1.571 |
| 2026-01-08 | Jan 8 | 5.35 | 3.67 | 1.46 |
| 2026-01-09 | Jan 9 | 5.41 | 3.83 | 1.41 |
| 2026-01-12 | Jan 12 | 5.42 | 3.58 | 1.514 |
| 2026-01-13 | Jan 13 | 5.64 | 3.45 | 1.638 |
| 2026-01-14 | Jan 14 | 5.82 | 3.42 | 1.701 |
| 2026-01-15 | Jan 15 | 5.84 | 3.48 | 1.679 |
| 2026-01-16 | Jan 16 | 5.8 | 3.5 | 1.657 |
| 2026-01-20 | Jan 20 | 6.23 | 3.79 | 1.646 |
| 2026-01-21 | Jan 21 | 6.75 | 3.93 | 1.718 |
| 2026-01-22 | Jan 22 | 7.12 | 3.93 | 1.812 |
| 2026-01-23 | Jan 23 | 7.89 | 4.08 | 1.935 |
| 2026-01-26 | Jan 26 | 8.37 | 4.14 | 2.021 |
| 2026-01-27 | Jan 27 | 9.19 | 4.31 | 2.13 |
| 2026-01-28 | Jan 28 | 9.65 | 4.41 | 2.19 |
| 2026-01-29 | Jan 29 | 10.15 | 4.52 | 2.245 |
| 2026-01-30 | Jan 30 | 11.11 | 4.75 | 2.337 |
| 2026-02-02 | Feb 2 | 11.87 | 4.81 | 2.468 |
| 2026-02-03 | Feb 3 | 12.66 | 5.02 | 2.52 |
| 2026-02-04 | Feb 4 | 13.12 | 5.11 | 2.57 |
| 2026-02-05 | Feb 5 | 13.52 | 5.21 | 2.594 |
| 2026-02-06 | Feb 6 | 14.52 | 4.96 | 2.927 |
| 2026-02-09 | Feb 9 | 14.95 | 4.94 | 3.024 |
| 2026-02-10 | Feb 10 | 14.73 | 5.17 | 2.848 |
| 2026-02-11 | Feb 11 | 15.13 | 5.45 | 2.777 |
| 2026-02-12 | Feb 12 | 15.47 | 5.6 | 2.761 |
| 2026-02-13 | Feb 13 | 15.05 | 5.58 | 2.698 |
| 2026-02-17 | Feb 17 | 14.57 | 5.6 | 2.603 |
| 2026-02-18 | Feb 18 | 14.3 | 5.36 | 2.67 |
| 2026-02-19 | Feb 19 | 13.71 | 5.27 | 2.603 |
| 2026-02-20 | Feb 20 | 13.02 | 5.31 | 2.453 |
| 2026-02-23 | Feb 23 | 12.73 | 5.29 | 2.405 |
| 2026-02-24 | Feb 24 | 11.99 | 5.36 | 2.238 |
| 2026-02-25 | Feb 25 | 11.34 | 5.31 | 2.135 |
| 2026-02-26 | Feb 26 | 10.05 | 5.25 | 1.914 |
| 2026-02-27 | Feb 27 | 8.85 | 5.32 | 1.666 |
| 2026-03-02 | Mar 2 | 7.69 | 5.29 | 1.454 |
| 2026-03-03 | Mar 3 | 6.38 | 5.34 | 1.195 |
| 2026-03-04 | Mar 4 | 5.95 | 5.22 | 1.14 |
| 2026-03-05 | Mar 5 | 6.09 | 5.29 | 1.15 |
| 2026-03-06 | Mar 6 | 6.52 | 5.17 | 1.261 |
| 2026-03-09 | Mar 9 | 6.7 | 5.29 | 1.266 |
| 2026-03-10 | Mar 10 | 6.72 | 5.24 | 1.283 |
| 2026-03-11 | Mar 11 | 6.41 | 5.11 | 1.255 |
| 2026-03-12 | Mar 12 | 6.61 | 4.88 | 1.354 |
| 2026-03-13 | Mar 13 | 6.9 | 4.7 | 1.466 |
| 2026-03-16 | Mar 16 | 7.02 | 4.67 | 1.502 |
| 2026-03-17 | Mar 17 | 7.15 | 4.66 | 1.535 |
| 2026-03-18 | Mar 18 | 7.81 | 4.82 | 1.619 |
| 2026-03-19 | Mar 19 | 8.56 | 4.8 | 1.782 |
| 2026-03-20 | Mar 20 | 9.41 | 4.96 | 1.898 |
| 2026-03-23 | Mar 23 | 9.67 | 4.89 | 1.978 |
| 2026-03-24 | Mar 24 | 9.83 | 4.87 | 2.018 |
| 2026-03-25 | Mar 25 | 9.65 | 4.97 | 1.944 |
| 2026-03-26 | Mar 26 | 9.44 | 5.03 | 1.878 |
| 2026-03-27 | Mar 27 | 8 | 5.02 | 1.593 |
| 2026-03-30 | Mar 30 | 6.95 | 5.01 | 1.387 |
| 2026-03-31 | Mar 31 | 6.2 | 4.99 | 1.242 |
the exact SQL behind every number
WITH
px AS
(
SELECT
date,
toFloat64(any(close)) AS c,
toFloat64(any(high)) AS h,
toFloat64(any(low)) AS l
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'KO'
AND date >= '2025-11-03'
AND date < '2026-04-01'
GROUP BY date
),
tr AS
(
SELECT
date,
c,
h,
l,
lagInFrame(c) OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_c
FROM px
),
stat AS
(
SELECT
date,
concat(formatDateTime(date, '%b'), ' ', toString(toDayOfMonth(date))) AS date_label,
avg(c) OVER (ORDER BY date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS basis,
stddevPop(c) OVER (ORDER BY date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS sd,
count() OVER (ORDER BY date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS bars,
avg(if(prev_c > 0, greatest(h - l, abs(h - prev_c), abs(l - prev_c)), h - l))
OVER (ORDER BY date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS atr
FROM tr
)
SELECT
toString(date) AS date,
date_label,
round(100 * 4 * sd / basis, 2) AS bb_width_pct,
round(100 * 3 * atr / basis, 2) AS kc_width_pct,
round(4 * sd / (3 * atr), 3) AS squeeze_ratio
FROM stat
WHERE bars = 20
AND date >= '2026-01-02'
ORDER BY date
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