Volume fight strategy

Script from: TradingViewSwingVolumeCandlestickTrend following

The Volume Fight strategy analyzes bullish and bearish volumes to determine market dominance by comparing their weighted averages over a defined range. It works across various instruments and time frames, using visual cues like colored triangles and histograms for bullish (green) or bearish (red) conditions. Settings allow for smoothing percentage adjustments to manage sensitivity and highlight flat zones, with alerts for movements. Default evaluation: 24 bars for 1H TF.

Top 43 Backtests of Volume fight strategy

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

Filters

VeChain / TetherUS (VETUSDT)

+ Volume fight strategy

@ Daily

1.39

Profit Factor

2,141.87 %

Total ROI

150

Cronos/Tether (CROUSDT)

+ Volume fight strategy

@ Daily

1.33

Profit Factor

1,361.89 %

Total ROI

121

Intuit Inc. (INTU)

+ Volume fight strategy

@ 15 min

1.23

Profit Factor

596.96 %

Total ROI

1271

Robinhood Markets, Inc. (HOOD)

+ Volume fight strategy

@ 4 h

1.23

Profit Factor

627.05 %

Total ROI

127

Ondas Holdings Inc. (ONDS)

+ Volume fight strategy

@ 4 h

1.21

Profit Factor

632.98 %

Total ROI

153

Rent the Runway, Inc. (RENT)

+ Volume fight strategy

@ 4 h

1.20

Profit Factor

607.02 %

Total ROI

130

Zcash / TetherUS (ZECUSDT)

+ Volume fight strategy

@ 4 h

1.20

Profit Factor

5,132.73 %

Total ROI

770

AT&T Inc. (T)

+ Volume fight strategy

@ 1 h

1.20

Profit Factor

221.24 %

Total ROI

1030

KAIA / TetherUS (KAIAUSDT)

+ Volume fight strategy

@ 2 h

1.18

Profit Factor

628.68 %

Total ROI

447

Citigroup, Inc. (C)

+ Volume fight strategy

@ 4 h

1.17

Profit Factor

245.34 %

Total ROI

590

10 Year T-Note Futures (ZN1!)

+ Volume fight strategy

@ 2 h

1.15

Profit Factor

30.29 %

Total ROI

1266

E-MINI DOW (5$) FUTURES (YM1!)

+ Volume fight strategy

@ 2 h

1.14

Profit Factor

126.30 %

Total ROI

1286

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Active Trades

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Volume fight 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

+629%

Avg net profit

+29%

Avg annualized return

63%

Avg max drawdown

0.17

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 643% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	51	1.1	>1,000%	78%	0.22
Stocks	718	1.1	+191%	54%	0.12
Forex	66	1.1	+17%	—	0.04

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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