STRASMORE/EXPLORE 2,985 QUERIES

Drawdown from an eight and a ten loss streak, by risk per trade

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 2026-08-17, from How Long a Losing Streak Is Normal.

as of ranking 4×4read in context →
Drawdown from an eight and a ten loss streak, by risk per trade — 4 rows by 4 columns, computed from US exchange, SIP and OPRA data.
risk_per_tradepct_down_after_8_lossespct_down_after_10_lossespct_gain_to_recover
1%7.79.610.6
2%14.918.322.4
3%21.626.335.6
5%33.740.167
Rows × columns
4 × 4
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 Drawdown from an eight and a ten loss streak, by risk per trade, derived from the stored result.
ColumnTypeRangeNotes
risk_per_trade text 4 distinct values (1%, 2%, 3%…)
pct_down_after_8_losses number 7.7 to 33.7 percent
pct_down_after_10_losses number 9.6 to 40.1 percent
pct_gain_to_recover number 10.6 to 67 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
    concat(toString(toUInt8(round(risk_fraction * 100))), '%') AS risk_per_trade,
    round(100 * (1 - pow(1 - risk_fraction, 8)), 1) AS pct_down_after_8_losses,
    round(100 * (1 - pow(1 - risk_fraction, 10)), 1) AS pct_down_after_10_losses,
    round(100 * ((1 / pow(1 - risk_fraction, 10)) - 1), 1) AS pct_gain_to_recover
FROM
(
    SELECT arrayJoin([0.01, 0.02, 0.03, 0.05]) AS risk_fraction
)
ORDER BY risk_fraction
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