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Exponential Stochastic Strategy

Script from: TradingViewSwingMomentumTrend following

The Exponential Stochastic Strategy enhances the classic stochastic oscillator by introducing an 'exp' input for weighing signals, creating a customizable sensitivity. Traders engage by entering on an oversold exit and exiting on an overbought departure, fine-tuning the exp value to modulate the frequency of trade signals while ensuring the oscillator remains scaled between 0 and 100.

BTCUSDT Perpetual Contract (BTCUSDT.P)

+ Exponential Stochastic Strategy

@ Daily

1.61

Risk Reward

3,357.70 %

Total ROI

207

General Motors Company (GM)

+ Exponential Stochastic Strategy

@ 2 h

1.32

Risk Reward

158,698.44 %

Total ROI

1223

Energy Transfer LP (ET)

+ Exponential Stochastic Strategy

@ 4 h

1.29

Risk Reward

2,265.21 %

Total ROI

955

Alstom (ALO)

+ Exponential Stochastic Strategy

@ 1 h

1.26

Risk Reward

511.24 %

Total ROI

1828

Block, Inc. (SQ)

+ Exponential Stochastic Strategy

@ 2 h

1.24

Risk Reward

2,315.76 %

Total ROI

904

Energy Transfer LP (ET)

+ Exponential Stochastic Strategy

@ 2 h

1.22

Risk Reward

3,123.70 %

Total ROI

1864

XP Inc. (XP)

+ Exponential Stochastic Strategy

@ 1 h

1.21

Risk Reward

760.81 %

Total ROI

1039

XP Inc. (XP)

+ Exponential Stochastic Strategy

@ Daily

1.21

Risk Reward

157.72 %

Total ROI

170

Enovix Corporation (ENVX)

+ Exponential Stochastic Strategy

@ 2 h

1.17

Risk Reward

1,676.19 %

Total ROI

515

SoFi Technologies, Inc. (SOFI)

+ Exponential Stochastic Strategy

@ 2 h

1.15

Risk Reward

3,693.61 %

Total ROI

520

DraftKings Inc. (DKNG)

+ Exponential Stochastic Strategy

@ 2 h

1.15

Risk Reward

1,010.85 %

Total ROI

578

Cameco Corporation (CCJ)

+ Exponential Stochastic Strategy

@ 4 h

1.15

Risk Reward

7,854.00 %

Total ROI

1180

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Active Trades

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Exponential Stochastic Strategy 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.

92
Backtests run
1.1
Avg profit factor
>1,000%
Avg net profit
+16%
Avg annualized return
66%
Avg max drawdown
0.13
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by >1,000% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto701.3>1,000%96%0.21
Stocks1,3481.1>1,000%65%0.12
Forex72——40%—

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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