Trenbolone Strategy

Script from: TradingViewSwingTrend followingMomentumVolatility

The Trenbolone Strategy is essentially the Supertrend Strategy rebranded. It utilizes the Supertrend indicator, employing price volatility data to determine trend direction, providing buy or sell signals.

Top 105 Backtests of Trenbolone Strategy

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

Filters

Premium users only

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

@ Daily

7.13

Profit Factor

877.45 %

Total ROI

Oklo Inc. (OKLO)

+ Trenbolone Strategy

@ Daily

2.65

Profit Factor

1,031.29 %

Total ROI

IREN LIMITED (IREN)

+ Trenbolone Strategy

@ Daily

2.41

Profit Factor

2,253.64 %

Total ROI

GALA / TetherUS (GALAUSDT)

+ Trenbolone Strategy

@ Daily

1.77

Profit Factor

1,109.96 %

Total ROI

Rivian Automotive, Inc. (RIVN)

+ Trenbolone Strategy

@ Daily

1.73

Profit Factor

94.32 %

Total ROI

JASMY / TetherUS (JASMYUSDT)

+ Trenbolone Strategy

@ Daily

1.47

Profit Factor

638.98 %

Total ROI

E-MINI NASDAQ-100 FUTURES (CONTINUOUS: CURRENT CONTR...)

+ Trenbolone Strategy

@ DailyTradeSearcher backtest

1.46

Profit Factor

182.17 %

Total ROI

Alstom (ALO)

+ Trenbolone Strategy

@ Daily

1.36

Profit Factor

130.59 %

Total ROI

AMC Entertainment Holdings, Inc. (AMC)

+ Trenbolone Strategy

@ 1 h

1.36

Profit Factor

27,259.39 %

Total ROI

404

Delta Air Lines, Inc. (DAL)

+ Trenbolone Strategy

@ 2 h

1.32

Profit Factor

769.81 %

Total ROI

244

VeChain / TetherUS (VETUSDT)

+ Trenbolone Strategy

@ 4 h

1.30

Profit Factor

2,963.04 %

Total ROI

355

Bank of America Corporation (BAC)

+ Trenbolone Strategy

@ 2 h

1.29

Profit Factor

232.35 %

Total ROI

249

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Active Trades

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Popular Cryptos

Bitcoin / TetherUS (BTCUSDT)

BINANCE:BTCUSDT

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Ethereum / TetherUS (ETHUSDT)

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BINANCEUS:USDTUSD

88 strategies

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Trenbolone 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.

105

Backtests run

1.2

Avg profit factor

+665%

Avg net profit

+24%

Avg annualized return

59%

Avg max drawdown

0.15

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 678% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	75	1.2	+933%	73%	0.22
Stocks	1,090	1.2	+643%	57%	0.12
Forex	72	1.1	+4%	15%	0.03

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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