Weekly z score of the KO/PEP spread, hedge ratio fitted on 2023 only
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 2026-08-13, from Pairs Trading and Cointegration Explained.
| week | z_score |
|---|---|
| 2024-01-01 | -1.53 |
| 2024-01-08 | -2.4 |
| 2024-01-15 | -2.08 |
| 2024-01-22 | -0.76 |
| 2024-01-29 | -0.76 |
| 2024-02-05 | -0.82 |
| 2024-02-12 | -1.08 |
| 2024-02-19 | -1.64 |
| 2024-02-26 | -1.39 |
| 2024-03-04 | -1.6 |
| 2024-03-11 | -1.09 |
| 2024-03-18 | 0.68 |
| 2024-03-25 | 1.07 |
| 2024-04-01 | 0.89 |
| 2024-04-08 | 1.63 |
| 2024-04-15 | 1.43 |
| 2024-04-22 | 0.32 |
| 2024-04-29 | 0.1 |
| 2024-05-06 | 0.27 |
| 2024-05-13 | 1.17 |
| 2024-05-20 | 0.67 |
| 2024-05-27 | -1.75 |
| 2024-06-03 | -2.71 |
| 2024-06-10 | -2.42 |
| 2024-06-17 | -1.59 |
| 2024-06-24 | -1.92 |
| 2024-07-01 | -1.71 |
| 2024-07-08 | -1.17 |
| 2024-07-15 | -1.2 |
| 2024-07-22 | -1.24 |
| 2024-07-29 | -1.25 |
| 2024-08-05 | -1.48 |
| 2024-08-12 | -1.49 |
| 2024-08-19 | -1.29 |
| 2024-08-26 | -2.81 |
| 2024-09-02 | -1.17 |
| 2024-09-09 | -1.11 |
| 2024-09-16 | -2.1 |
| 2024-09-23 | -1.93 |
| 2024-09-30 | -1.21 |
| 2024-10-07 | 0.3 |
| 2024-10-14 | 0.02 |
| 2024-10-21 | 1.58 |
| 2024-10-28 | 1.52 |
| 2024-11-04 | 1.8 |
| 2024-11-11 | 1.46 |
| 2024-11-18 | 0.87 |
| 2024-11-25 | 0.93 |
| 2024-12-02 | 0.63 |
| 2024-12-09 | 0.29 |
| 2024-12-16 | -0.38 |
| 2024-12-23 | -0.49 |
| 2024-12-30 | -1.04 |
| 2025-01-06 | -2.39 |
| 2025-01-13 | -1.79 |
| 2025-01-20 | -1 |
| 2025-01-27 | -1.44 |
| 2025-02-03 | -2.31 |
| 2025-02-10 | -3.1 |
| 2025-02-17 | -2.14 |
| 2025-02-24 | -1.69 |
| 2025-03-03 | -1.42 |
| 2025-03-10 | -1.13 |
| 2025-03-17 | -1.1 |
| 2025-03-24 | -1.05 |
| 2025-03-31 | -0.98 |
| 2025-04-07 | -1.45 |
| 2025-04-14 | -1.81 |
| 2025-04-21 | -2.08 |
| 2025-04-28 | -1.77 |
| 2025-05-05 | -1.53 |
| 2025-05-12 | -1.62 |
| 2025-05-19 | -1.53 |
| 2025-05-26 | -1.26 |
| 2025-06-02 | -1.04 |
| 2025-06-09 | -0.69 |
| 2025-06-16 | -0.06 |
| 2025-06-23 | -0.21 |
| 2025-06-30 | 0.12 |
| 2025-07-07 | 1.41 |
| 2025-07-14 | 3.18 |
| 2025-07-21 | 2.42 |
| 2025-07-28 | 1.43 |
| 2025-08-04 | 1.4 |
| 2025-08-11 | 1.88 |
| 2025-08-18 | 1.41 |
| 2025-08-25 | 1.42 |
| 2025-09-01 | 1.33 |
| 2025-09-08 | 1.23 |
| 2025-09-15 | 1.09 |
| 2025-09-22 | 1.12 |
| 2025-09-29 | 0.83 |
| 2025-10-06 | 2.28 |
| 2025-10-13 | 1.84 |
| 2025-10-20 | 0.37 |
| 2025-10-27 | -0.5 |
| 2025-11-03 | -2.94 |
| 2025-11-10 | -1.93 |
| 2025-11-17 | -2.58 |
| 2025-11-24 | -1.77 |
| 2025-12-01 | -0.7 |
| 2025-12-08 | 0.04 |
| 2025-12-15 | -0.11 |
| 2025-12-22 | -0.68 |
| 2025-12-29 | -0.68 |
- Rows × columns
- 105 × 2
- Period covered
- to
- 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 |
|---|---|---|---|
week |
date | 2024-01-01 to 2025-12-29 | |
z_score |
number | -3.1 to 3.18 |
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
date,
anyIf(toFloat64(close), ticker = 'PEP') AS pep,
anyIf(toFloat64(close), ticker = 'KO') AS ko
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('KO', 'PEP')
AND date BETWEEN '2023-01-01' AND '2025-12-31'
GROUP BY date
HAVING pep > 0 AND ko > 0
),
fitted AS (
SELECT covarSamp(pep, ko) / varSamp(ko) AS beta
FROM daily
WHERE date < '2024-01-01'
),
spread AS (
SELECT
daily.date AS date,
daily.pep - fitted.beta * daily.ko AS spread_usd
FROM daily
CROSS JOIN fitted
),
scored AS (
SELECT
date,
(spread_usd - avg(spread_usd) OVER (
ORDER BY date ROWS BETWEEN 62 PRECEDING AND CURRENT ROW))
/ stddevSampStable(spread_usd) OVER (
ORDER BY date ROWS BETWEEN 62 PRECEDING AND CURRENT ROW) AS z
FROM spread
)
SELECT
toString(toMonday(date)) AS week,
round(argMax(z, date), 2) AS z_score
FROM scored
WHERE date >= '2024-01-01'
AND isFinite(z)
GROUP BY week
ORDER BY week
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