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Gann HiLo Activator Strategy

Script from: TradingViewSwingTrend following

The Gann HiLo Activator Strategy is a trend-following approach. It switches to long when price closes above the high SMA and goes short when closing below the low SMA. Customize the length and displace parameters for optimal results. Initiate backtesting from a specific date by adjusting the begin options. Proven effective on stock and crypto markets.

CrowdStrike Holdings, Inc. (CRWD)

+ Gann HiLo Activator Strategy

@ 4 h

1.22

Risk Reward

2,124.31 %

Total ROI

506

Nike, Inc. (NKE)

+ Gann HiLo Activator Strategy

@ 4 h

1.19

Risk Reward

333.46 %

Total ROI

712

Robinhood Markets, Inc. (HOOD)

+ Gann HiLo Activator Strategy

@ 2 h

1.16

Risk Reward

983.50 %

Total ROI

674

Stellantis NV (STLAP)

+ Gann HiLo Activator Strategy

@ 2 h

1.13

Risk Reward

642.04 %

Total ROI

1728

U.S. Dollar/Japanese Yen (USDJPY)

+ Gann HiLo Activator Strategy

@ 4 h

1.13

Risk Reward

55.84 %

Total ROI

2063

U.S. TREASURY BOND FUTURES (ZB1!)

+ Gann HiLo Activator Strategy

@ Daily

1.13

Risk Reward

22.58 %

Total ROI

342

IREN LIMITED (IREN)

+ Gann HiLo Activator Strategy

@ 4 h

1.12

Risk Reward

655.45 %

Total ROI

371

Boeing Company (The) (BA)

+ Gann HiLo Activator Strategy

@ 4 h

1.09

Risk Reward

328.31 %

Total ROI

723

SID NACIONALON (CSNA3)

+ Gann HiLo Activator Strategy

@ 1 h

1.08

Risk Reward

1,175.25 %

Total ROI

2418

Walt Disney Company (The) (DIS)

+ Gann HiLo Activator Strategy

@ 2 h

1.08

Risk Reward

53.18 %

Total ROI

1115

Stellantis NV (STLAP)

+ Gann HiLo Activator Strategy

@ 15 min

1.08

Risk Reward

113.68 %

Total ROI

3022

BONK / TetherUS (BONKUSDT)

+ Gann HiLo Activator Strategy

@ Daily

1.08

Risk Reward

203.36 %

Total ROI

131

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Active Trades

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Gann HiLo Activator 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.

38
Backtests run
1.1
Avg profit factor
+460%
Avg net profit
+21%
Avg annualized return
64%
Avg max drawdown
0.15
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 451% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto451.0+222%0.17
Stocks6481.1+558%62%0.15
Forex661.1+56%20%0.12

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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