Turtle Soup Trading Strategy: Win Rate & Success Rate Explained
- The Turtle Soup strategy has no single, universal success rate — any specific number quoted without stated conditions is a red flag.
- Win rate is driven by context: alignment with the higher-timeframe bias, the session it forms in, and how strictly the rules are followed.
- A high win rate means little on its own — risk-to-reward and consistency determine whether a strategy is actually profitable.
- The only success rate that matters is your own, measured from a proper backtest and forward test of your exact rules.
- Turtle Soup is a fake-breakout reversal pattern — a high-probability setup within a plan, not a standalone money machine.
What Is Turtle Soup, in Brief
Figure 1 — Turtle Soup: price sweeps just beyond a prior high (tripping breakout stops), then fails and reverses. The entry is against the failed breakout, with a stop just above the sweep wick.
Why There Is No Single "Success Rate"
Directional bias. A Turtle Soup taken with the higher-timeframe daily bias behaves very differently from one taken against it. Same pattern, very different outcome.
Session and timing. A sweep during a kill zone at a session open carries more weight than the same shape in dead, low-liquidity hours.
Which level was swept. A sweep of a significant, obvious high or low (where real stops rest) is stronger than a sweep of a minor, meaningless wick.
Rule strictness. Two traders using “Turtle Soup” may have different entry triggers, stop rules, and filters — so they are effectively trading different strategies with different win rates.
Win Rate Is Not the Same as Profitability
Figure 2 — The same win rate can win or lose depending on reward-to-risk. A 40% win rate at 3:1 beats a 70% win rate at 0.5:1. Expectancy, not win rate, decides profitability.
Expectancy = (win rate × average win) − (loss rate × average loss). A strategy with a positive expectancy makes money over a large sample even if it loses more trades than it wins. This is the figure to optimise — not the raw win rate.
Realistic Expectations
How to Measure Your Own Success Rate
1. Write the rules down. Define exactly what counts as a valid Turtle Soup for you — which level, which session, which bias, the precise entry trigger, stop, and target. If it is not written, it cannot be tested.
2. Backtest a large sample. Go through historical charts and log every setup that met your rules — at least 50–100 trades. Record the outcome and the reward-to-risk of each.
3. Calculate win rate and expectancy. Both numbers together tell the real story. A 55% win rate at 2:1 is excellent; note it.
4. Forward test on a demo. Backtests flatter you because hindsight is easy. Trade the rules live on a demo account to see the real, in-the-moment win rate.
5. Only then go live, small. Once your own numbers hold up, trade small real size and keep logging. Your journal is your real success rate.