CCI Strategy

Script from: TradingViewSwingBreakoutTrend followingMomentumBotReversal

This strategy trades CCI crossovers. You define custom upper and lower bands for entries and exits. Go long when the CCI crosses above your upper band; short when it drops below your lower band. It's built for day traders, with features like time-based trading sessions that close all positions at the end of the day. It also includes percentage-based stop loss/take profit targets and custom alerts for automation.

Top 52 Backtests of CCI Strategy

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

Filters

Bank of America Corporation (BAC)

+ CCI Strategy

@ 4 h

1.68

Profit Factor

264.44 %

Total ROI

217

International Business Machines Corporation (IBM)

+ CCI Strategy

@ 4 h

1.55

Profit Factor

251.68 %

Total ROI

254

Netflix, Inc. (NFLX)

+ CCI Strategy

@ 4 h

1.50

Profit Factor

381.81 %

Total ROI

235

Theta Token / TetherUS (THETAUSDT)

+ CCI Strategy

@ Daily

1.48

Profit Factor

424.99 %

Total ROI

189

Boeing Company (The) (BA)

+ CCI Strategy

@ 4 h

1.39

Profit Factor

190.11 %

Total ROI

229

International Business Machines Corporation (IBM)

+ CCI Strategy

@ 1 h

1.38

Profit Factor

391.75 %

Total ROI

850

Citigroup, Inc. (C)

+ CCI Strategy

@ 4 h

1.37

Profit Factor

184.66 %

Total ROI

243

Applovin Corporation (APP)

+ CCI Strategy

@ 4 h

1.36

Profit Factor

1,235.73 %

Total ROI

238

New Zealand Dollar/U.S. Dollar (NZDUSD)

+ CCI Strategy

@ DailyTradeSearcher backtest

1.29

Profit Factor

24.29 %

Total ROI

129

Cronos/Tether (CROUSDT)

+ CCI Strategy

@ Daily

1.29

Profit Factor

976.79 %

Total ROI

206

IREN LIMITED (IREN)

+ CCI Strategy

@ 4 h

1.28

Profit Factor

4,086.58 %

Total ROI

222

IREN LIMITED (IREN)

+ CCI Strategy

@ 2 h

1.24

Profit Factor

2,276.96 %

Total ROI

468

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Active Trades

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CCI 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.

Backtests run

1.1

Avg profit factor

+550%

Avg net profit

+34%

Avg annualized return

58%

Avg max drawdown

0.19

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 549% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	47	1.1	+842%	65%	0.21
Stocks	536	1.2	+546%	56%	0.19
Forex	67	1.2	+14%	21%	0.06

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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