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Volatility System

Script from: TradingViewLongTermVolatilityBreakout

The Volatility System strategy leverages the Average True Range (ATR) to quantify market volatility and enters trades when price changes surpass a set threshold defined by the ATR multiplied by a constant. Originally effective in certain markets, its performance may benefit from the inclusion of stop loss and take profit modifications to adapt to current volatile and noisy market environments.

Euro Fx/U.S. Dollar (EURUSD)

+ Volatility System

@ DailyTradeSearcher backtest

2.86

Profit Factor

51.55 %

Total ROI

19

Gold Futures (GC1!)

+ Volatility System

@ 4 hTradeSearcher backtest

1.48

Profit Factor

220.11 %

Total ROI

196

C3.ai, Inc. (AI)

+ Volatility System

@ 4 h

1.46

Profit Factor

83.58 %

Total ROI

19

Gold Futures (GC1!)

+ Volatility System

@ 15 minTradeSearcher backtest

1.45

Profit Factor

166.76 %

Total ROI

135

Kinder Morgan, Inc. (KMI)

+ Volatility System

@ Daily

1.43

Profit Factor

53.82 %

Total ROI

16

CAKE / TetherUS (CAKEUSDT)

+ Volatility System

@ 4 h

1.43

Profit Factor

2,152.96 %

Total ROI

69

APTUSDT Perpetual Contract (APTUSDT.P)

+ Volatility System

@ 4 h

1.41

Profit Factor

169.54 %

Total ROI

19

EOS / TetherUS (EOSUSDT)

+ Volatility System

@ Daily

1.41

Profit Factor

106.31 %

Total ROI

17

Bank of America Corporation (BAC)

+ Volatility System

@ 2 h

1.36

Profit Factor

789.32 %

Total ROI

364

Rent the Runway, Inc. (RENT)

+ Volatility System

@ 4 h

1.33

Profit Factor

53.71 %

Total ROI

17

Boeing Company (The) (BA)

+ Volatility System

@ 1 h

1.32

Profit Factor

1,009.56 %

Total ROI

421

NEO / TetherUS (NEOUSDT)

+ Volatility System

@ 4 h

1.32

Profit Factor

209.81 %

Total ROI

17

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Active Trades

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Volatility System 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 long-term by holding period.

69
Backtests run
1.2
Avg profit factor
>1,000%
Avg net profit
+23%
Avg annualized return
61%
Avg max drawdown
0.14
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 865% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto711.3+567%65%0.23
Stocks1,3641.1>1,000%65%0.11
Forex722.0+27%13%0.10

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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