Supertrend Strategy With Multi Tp & Tsl

Script from: TradingViewSwing

Top 30 Backtests of Supertrend Strategy With Multi Tp & Tsl

Explore the most profitable cryptocurrency and stock backtests with Supertrend Strategy With Multi Tp & Tsl Strategy (on TradingView).

Filters

BONK / TetherUS (BONKUSDT)

+ Supertrend Strategy With Multi Tp & Tsl

@ Daily

2.76

Risk Reward

529.85 %

Total ROI

VIRTUAL / TetherUS (VIRTUALUSDT)

+ Supertrend Strategy With Multi Tp & Tsl

@ Daily

2.08

Risk Reward

180.90 %

Total ROI

SHIB / TetherUS (SHIBUSDT)

+ Supertrend Strategy With Multi Tp & Tsl

@ Daily

1.57

Risk Reward

196.36 %

Total ROI

160

VeChain / TetherUS (VETUSDT)

+ Supertrend Strategy With Multi Tp & Tsl

@ Daily

1.55

Risk Reward

501.70 %

Total ROI

182

FIL / TetherUS (FILUSDT)

+ Supertrend Strategy With Multi Tp & Tsl

@ Daily

1.37

Risk Reward

364.55 %

Total ROI

140

Boeing Company (The) (BA)

+ Supertrend Strategy With Multi Tp & Tsl

@ 1 h

1.28

Risk Reward

539.70 %

Total ROI

1178

International Business Machines Corporation (IBM)

+ Supertrend Strategy With Multi Tp & Tsl

@ 4 h

1.28

Risk Reward

247.64 %

Total ROI

739

U.S. Dollar/Swiss Franc (USDCHF)

+ Supertrend Strategy With Multi Tp & Tsl

@ 4 h

1.26

Risk Reward

55.84 %

Total ROI

1164

Bank of America Corporation (BAC)

+ Supertrend Strategy With Multi Tp & Tsl

@ 2 h

1.25

Risk Reward

497.25 %

Total ROI

1176

Stellantis NV (STLAP)

+ Supertrend Strategy With Multi Tp & Tsl

@ 1 h

1.25

Risk Reward

403.74 %

Total ROI

1616

U.S. Dollar/South African Rand (USDZAR)

+ Supertrend Strategy With Multi Tp & Tsl

@ 1 h

1.23

Risk Reward

42.39 %

Total ROI

1209

British Pound/U.S. Dollar (GBPUSD)

+ Supertrend Strategy With Multi Tp & Tsl

@ 4 h

1.23

Risk Reward

51.71 %

Total ROI

1127

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Supertrend Strategy With Multi Tp & Tsl 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.

Backtests run

1.3

Avg profit factor

+224%

Avg net profit

+26%

Avg annualized return

46%

Avg max drawdown

0.17

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 253% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	50	1.4	+258%	—	0.19
Stocks	447	1.2	+206%	39%	0.16
Forex	66	1.2	+50%	13%	0.13

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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