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.

Top 140 Backtests of Range Breaker

Explore the most profitable cryptocurrency and stock backtests with Range Breaker Strategy (on TradingView).

Filters

Premium users only

Premium users can access all backtests with a profit factor above 3

@ Daily

3.24

Profit Factor

10.32 %

Total ROI

Gold Futures (GC1!)

+ Range Breaker

@ DailyTradeSearcher backtest

2.49

Profit Factor

185.17 %

Total ROI

The AES Corporation (AES)

+ Range Breaker

@ 4 h

1.98

Profit Factor

11.19 %

Total ROI

Rent the Runway, Inc. (RENT)

+ Range Breaker

@ Daily

1.76

Profit Factor

265.79 %

Total ROI

Baker Hughes Company (BKR)

+ Range Breaker

@ 4 h

1.75

Profit Factor

353.03 %

Total ROI

Kinder Morgan, Inc. (KMI)

+ Range Breaker

@ 2 h

1.67

Profit Factor

8.43 %

Total ROI

Airbnb, Inc. (ABNB)

+ Range Breaker

@ 4 h

1.61

Profit Factor

6.71 %

Total ROI

American Airlines Group, Inc. (AAL)

+ Range Breaker

@ 4 h

1.58

Profit Factor

453.41 %

Total ROI

116

Carnival Corporation (CCL)

+ Range Breaker

@ 2 h

1.55

Profit Factor

1,205.35 %

Total ROI

179

The AES Corporation (AES)

+ Range Breaker

@ 2 h

1.55

Profit Factor

734.69 %

Total ROI

150

Delta Air Lines, Inc. (DAL)

+ Range Breaker

@ 2 h

1.51

Profit Factor

380.95 %

Total ROI

163

Boeing Company (The) (BA)

+ Range Breaker

@ 1 h

1.50

Profit Factor

705.74 %

Total ROI

272

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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.

140

Backtests run

1.2

Avg profit factor

+186%

Avg net profit

+20%

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 220% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	102	1.1	+253%	7%	0.18
Stocks	1,396	1.2	+172%	44%	0.12
Forex	78	1.1	+8%	12%	0.09

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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