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Rate Of Change Trend Strategy (ROC)

Script from: TradingViewSwingTrend followingMomentum

The Rate of Change (ROC) Trend Strategy capitalizes on momentum, triggering buys when past price changes are positive and sells when negative. It's notably effective in trending markets, including cryptocurrencies and various stocks, such as BTCUSD, ETHUSD, SPX, NDX, and TSLA.

Sandisk Corporation (SNDK)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

2.45

Risk Reward

1,596.57 %

Total ROI

61

Zcash / TetherUS (ZECUSDT)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

2.32

Risk Reward

3,333.25 %

Total ROI

87

APTUSDT SPOT (APTUSDT)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

2.25

Risk Reward

118.83 %

Total ROI

16

Credo Technology Group Holding Ltd (CRDO)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

2.01

Risk Reward

574.28 %

Total ROI

43

IREN LIMITED (IREN)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

1.98

Risk Reward

734.30 %

Total ROI

35

Oklo Inc. (OKLO)

+ Rate Of Change Trend Strategy (ROC)

@ 4 h

1.79

Risk Reward

674.37 %

Total ROI

85

IonQ, Inc. (IONQ)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

1.77

Risk Reward

1,608.47 %

Total ROI

194

IREN LIMITED (IREN)

+ Rate Of Change Trend Strategy (ROC)

@ 4 h

1.62

Risk Reward

1,639.70 %

Total ROI

83

Cloudflare, Inc. (NET)

+ Rate Of Change Trend Strategy (ROC)

@ 1 h

1.58

Risk Reward

2,477.01 %

Total ROI

423

NIFTY 50 (NIFTY)

+ Rate Of Change Trend Strategy (ROC)

@ 1 h

1.58

Risk Reward

173.10 %

Total ROI

633

Bloom Energy Corporation (BE)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

1.52

Risk Reward

3,764.87 %

Total ROI

312

Cronos/Tether (CROUSDT)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

1.50

Risk Reward

4,771.98 %

Total ROI

100

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Active Trades

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Rate Of Change Trend Strategy (ROC) 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.

170
Backtests run
1.2
Avg profit factor
+669%
Avg net profit
+21%
Avg annualized return
62%
Avg max drawdown
0.12
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 569% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto981.2+853%80%0.15
Stocks1,1041.2+605%58%0.11
Forex72——15%—

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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