STRASMORE/EXPLORE 3,293 QUERIES

price_path

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 2026-11-01, from aapl-stock-for-thai-investors.

as of series 60×4read in context →
price_path — 60 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthmonth_end_closerunning_high_5yworst_drawdown_in_month_pct
2021-11-01165.3165.3-3.2
2021-12-01177.57180.33-5.4
2022-01-01174.78182.01-12.5
2022-02-01165.12182.01-12.1
2022-03-01174.61182.01-17.2
2022-04-01157.65182.01-14
2022-05-01148.84182.01-24.5
2022-06-01136.72182.01-28.5
2022-07-01162.51182.01-23.7
2022-08-01157.22182.01-13.6
2022-09-01138.2182.01-24.1
2022-10-01153.34182.01-24
2022-11-01148.03182.01-25.9
2022-12-01129.93182.01-30.8
2023-01-01144.29182.01-31.3
2023-02-01147.41182.01-20.1
2023-03-01164.9182.01-20.2
2023-04-01169.68182.01-12
2023-05-01177.25182.01-8.9
2023-06-01193.97193.97-2.3
2023-07-01196.45196.45-3
2023-08-01187.87196.45-11.4
2023-09-01171.21196.45-13.2
2023-10-01170.77196.45-15
2023-11-01189.95196.45-11.4
2023-12-01192.53198.11-3.6
2024-01-01184.4198.11-8.5
2024-02-01180.75198.11-8.8
2024-03-01171.48198.11-14.7
2024-04-01170.33198.11-16.7
2024-05-01192.25198.11-14.5
2024-06-01210.62216.67-4.2
2024-07-01222.08234.82-7.4
2024-08-01229234.82-11.7
2024-09-01233234.82-7.9
2024-10-01225.91236.48-5.6
2024-11-01237.33237.33-6.1
2024-12-01250.42259.02-3.3
2025-01-01236259.02-14
2025-02-01241.84259.02-12.1
2025-03-01222.13259.02-19
2025-04-01212.5259.02-33.4
2025-05-01200.85259.02-24.6
2025-06-01205.17259.02-24.5
2025-07-01207.57259.02-19.9
2025-08-01232.14259.02-21.9
2025-09-01254.63259.02-12.4
2025-10-01270.37271.4-5.3
2025-11-01278.85278.85-3.3
2025-12-01271.86286.19-5.3
2026-01-01259.48286.19-13.8
2026-02-01264.18286.19-10.6
2026-03-01253.79286.19-13.8
2026-04-01271.35286.19-11.4
2026-05-01312.06312.51-3.3
2026-06-01289.36315.2-12.7
2026-07-01308.91340.08-9.2
2026-08-01316.85340.08-11.1
2026-09-01333.02341.07-7.3
2026-10-01344.63348.91-3.2
Rows × columns
60 × 4
Period covered
to
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 price_path, derived from the stored result.
ColumnTypeRangeNotes
month date 2021-11-01 to 2026-10-01
month_end_close number 129.93 to 344.63 US dollars
running_high_5y number 165.3 to 348.91 US dollars
worst_drawdown_in_month_pct number -33.4 to -2.3 percent

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.

SELECT
    toString(toStartOfMonth(date))                        AS month,
    round(argMax(close_f, date), 2)                       AS month_end_close,
    round(max(running_high), 2)                           AS running_high_5y,
    round(min((close_f / running_high - 1) * 100), 1)     AS worst_drawdown_in_month_pct
FROM
(
    SELECT
        date,
        toFloat64(close) AS close_f,
        max(toFloat64(close)) OVER (ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS running_high
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'AAPL'
      AND date >  subtractYears(today(), 5)
      AND date <= today()
)
GROUP BY month
ORDER BY month
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