20% consistency rule — full breakdown

Updated 2026-07-05
Quick answer

Your single largest winning trade must be ≤ 20% of your total funded profit at payout time. If it isn't, the payout is HELD (not failed) — keep trading smaller wins until total profit is high enough that the largest win drops back under 20%.

Applies to

  • Elite Two Step ($99)
  • One Step Basic ($69)
  • One Step Pro ($129)
  • Elite Direct ($159)
  • Pro Elite ($259)

Does NOT apply to

  • Basic 2-Step ($19) — no consistency rule
  • Pro 2-Step ($39) — no consistency rule

How it's measured

  • Only measured at payout request time. Not during Step 1 or Step 2.
  • Formula: largest single winning trade ÷ total funded profit since last payout (or since funded start).
  • If ratio > 20%, payout is HELD. Account is NOT closed. No fee is charged.
  • Ratio recalculates on every settled trade — trading more (safely) drops the ratio.
Worked example — Held → cleared
Funded profit: $400. Largest win: $120. Ratio: 30% → HELD
You place more small trades. Profit grows to $650. Largest win still $120.
New ratio: 120 / 650 = 18.5% → payout eligible
Alternative: minimum total profit needed to pass = largest_win / 0.20 = $600
Edge cases
  • What counts as 'largest winning trade'?

    The single settled trade with the highest positive P/L, in dollar terms, since your last approved payout (or since funded start if you haven't been paid yet).

  • Do losing trades affect consistency?

    Indirectly. Losses reduce total profit, which raises the ratio. Winning smaller and avoiding large losses both help.

  • Does consistency reset after a payout?

    Yes. The next payout cycle measures only trades placed after the previous approved payout.

  • Is there a warning before I breach 20%?

    The rule doesn't 'breach' — it holds the payout. Trade smaller wins to lower the ratio, or grow total profit.

  • Does the rule punish one great trade?

    No — it delays payout on that one great trade until enough follow-on volume proves the strategy is repeatable, which is why consistency exists.

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