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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.

Credo Technology Group Holding Ltd (CRDO)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

2.90

Risk Reward

751.03 %

Total ROI

42

Sandisk Corporation (SNDK)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

2.75

Risk Reward

1,716.31 %

Total ROI

57

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

IREN LIMITED (IREN)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

1.92

Risk Reward

690.48 %

Total ROI

34

IonQ, Inc. (IONQ)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

1.87

Risk Reward

1,688.01 %

Total ROI

190

Oklo Inc. (OKLO)

+ Rate Of Change Trend Strategy (ROC)

@ 4 h

1.81

Risk Reward

680.74 %

Total ROI

83

IREN LIMITED (IREN)

+ Rate Of Change Trend Strategy (ROC)

@ 4 h

1.72

Risk Reward

1,799.08 %

Total ROI

82

NIFTY 50 (NIFTY)

+ Rate Of Change Trend Strategy (ROC)

@ 1 h

1.59

Risk Reward

174.10 %

Total ROI

630

Cloudflare, Inc. (NET)

+ Rate Of Change Trend Strategy (ROC)

@ 1 h

1.55

Risk Reward

2,343.36 %

Total ROI

420

Bloom Energy Corporation (BE)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

1.51

Risk Reward

3,267.20 %

Total ROI

305

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.

171
Backtests run
1.2
Avg profit factor
+664%
Avg net profit
+22%
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 575% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto981.1+793%80%0.15
Stocks1,1041.2+619%58%0.11
Forex7215%

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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