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Range Breaker

Script from: TradingViewSwingPrice actionBreakoutTrend followingMomentum

The Range Breaker strategy involves trading breakouts where positions are taken when prices exceed defined swing highs or fall below swing lows. By specifying a lookback period, traders identify these key levels and use them to enter trades. The inclusion of stop targets, calculated as a percentage, aims to mitigate risk and lock in profits. Fine-tuning the lookback period and adjusting to different timeframes is essential for optimizing performance for each asset.

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

3.24

Risk Reward

10.32 %

Total ROI

25

The AES Corporation (AES)

+ Range Breaker

@ 4 h

1.98

Risk Reward

11.19 %

Total ROI

46

Rent the Runway, Inc. (RENT)

+ Range Breaker

@ Daily

1.76

Risk Reward

265.79 %

Total ROI

64

Baker Hughes Company (BKR)

+ Range Breaker

@ 4 h

1.75

Risk Reward

353.03 %

Total ROI

78

Kinder Morgan, Inc. (KMI)

+ Range Breaker

@ 2 h

1.67

Risk Reward

8.43 %

Total ROI

86

Airbnb, Inc. (ABNB)

+ Range Breaker

@ 4 h

1.61

Risk Reward

6.71 %

Total ROI

49

The AES Corporation (AES)

+ Range Breaker

@ 2 h

1.55

Risk Reward

734.69 %

Total ROI

150

Boeing Company (The) (BA)

+ Range Breaker

@ 1 h

1.53

Risk Reward

728.08 %

Total ROI

270

KAIA / TetherUS (KAIAUSDT)

+ Range Breaker

@ 2 h

1.51

Risk Reward

397.94 %

Total ROI

171

American Airlines Group, Inc. (AAL)

+ Range Breaker

@ 4 h

1.51

Risk Reward

387.39 %

Total ROI

113

Sirius XM Holdings Inc. (SIRI)

+ Range Breaker

@ 1 h

1.50

Risk Reward

11.68 %

Total ROI

138

Peloton Interactive, Inc. (PTON)

+ Range Breaker

@ 4 h

1.50

Risk Reward

9.23 %

Total ROI

77

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Active Trades

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Range Breaker backtest statistics

Aggregated across every validated backtest TradeSearcher has run on this strategy. Figures update automatically as new backtests are added — they are not edited by hand. Classified as swing by holding period.

135
Backtests run
1.2
Avg profit factor
+181%
Avg net profit
+18%
Avg annualized return
46%
Avg max drawdown
0.14
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 215% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto1021.1+258%7%0.19
Stocks1,3961.2+157%44%0.12

Backtests use the validated-universe filter: non-repainting scripts, over 15 trades, non-excluded. Per-market rows appear only when at least one backtest exists for that asset class.

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