TimelessMarket Theory
Educational only — not financial advice. The example below is illustrative, not a recommendation or live call. No strategy works every time; these setups fail often. Always define your risk and test any process yourself before risking money.
Strategy Playbook

Turtle Soup — the Failed Breakout

Linda Raschke's short-term reversal: when a breakout to a new high (or low) fails and reverses, trade the failure — the trapped breakout traders are your fuel.

Method from → Linda Raschke · Concepts: support & resistance

TypeShort-term reversal
BiasFade extremes
TimeframeIntraday / daily
Win rateHigher
Edge fromTrapped traders

1 The Edge — why it works

A failed breakout traps the breakout buyers

When price pushes to a new high (or low) and immediately fails back inside the range, everyone who bought the breakout is now offside. Their stops, triggering below the level, become fuel for a reversal. You fade the failed breakout for a quick mean-reversion move back through the range.

This is the mirror image of a trend-following breakout — and it thrives in exactly the conditions where breakouts don't work: range-bound, choppy markets.

2 Where it works — and doesn't

Conditions matter more than the pattern

Works best when…

  • Range-bound or choppy markets (not strong trends).
  • A clean prior swing high/low (e.g. a 20-day extreme).
  • The new extreme is marginal and quickly reversed.
  • Price closes back inside the range promptly.

Fails / avoid when…

  • Strong trending markets — real breakouts run and bury you.
  • No clear prior level to fail against.
  • The 'failure' that keeps going (it wasn't a failure).
  • Forcing it when price grinds, not snaps, back.

3 Setup checklist

All true before you act

4 The process

From signal to managed trade

1

Entry

When price reverses back inside the range after the false break — e.g., short on the reclaim below the prior high.

2

Stop (1R)

Just beyond the false-breakout extreme (above the spike high for a short). Distance = 1R.

1R = false-break extreme − entry
3

Position size

Risk a small fixed % of the account; shares = risk ÷ 1R.

shares = (account × risk%) ÷ 1R
4

Exit & manage

This is a short-term trade — target the middle or far side of the range, or a fixed multiple (e.g. +2–3R). Take the profit; don't marry it.

5 Worked example (illustrative)

One trade, start to finish, in R

Turtle soup failed-breakout short setup
Illustrative. Price breaks marginally above the prior high, fails, and reclaims back inside (short entry). Stop sits above the false-break high; the target is back into the range.
Account / risk per trade$25,000 · 1% = $250
Prior 20-day high$100.00
Entry (reclaim below the high, short)$99.50
Stop (above the spike) — 1R$101.20 · 1R = $1.70
Position size = $250 ÷ $1.70≈ 147 shares
Target (mid-range, ≈ +3R)$94.40
If it works: +3R+ $750 (≈ +3.0%)
If it fails: −1R− $250 (≈ −1.0%)

6 Honest expectancy

Higher win rate, smaller winners

Mean-reversion setups like this tend to win more often than they lose, but the winners are smaller — you're catching a snap-back, not a trend. The math still works if the wins outweigh the losses.

expectancy (in R) = (win% × avg win) − (loss% × avg loss)

Example: win 55% at +2R, lose 45% at −1R → (0.55 × 2) − (0.45 × 1) = +0.65R per trade. Get the market regime wrong (a real trend) and the edge inverts. An expectation, never a guarantee.

7 Make it yours

Test before you trade

A no-risk validation routine

Scroll a range-bound market's history. Mark every spot price marginally broke a 20-day extreme and snapped back inside. Record the entry, the stop beyond the extreme, and a mid-range target — in R — before revealing the outcome. Compare results in ranging vs. trending periods; you'll see why regime matters.

8 Common mistakes

How traders blow this up

Watch — a mean-reversion edge, backtested

A reputable, free explainer from this playlist — educational, not an endorsement.