Pump-Smart Shorting Strategy

Script from: TradingViewSwing

Top 44 Backtests of Pump-Smart Shorting Strategy

Explore the most profitable cryptocurrency and stock backtests with Pump-Smart Shorting Strategy (on TradingView).

Filters

British Pound/Japanese Yen (GBPJPY)

+ Pump-Smart Shorting Strategy

@ Daily

1.88

Risk Reward

12,405,553.40 %

Total ROI

486

Total Trades

U.S. Dollar/Japanese Yen (USDJPY)

+ Pump-Smart Shorting Strategy

@ Daily

1.72

Risk Reward

6,781,779.47 %

Total ROI

476

Total Trades

U.S. Dollar/Swiss Franc (USDCHF)

+ Pump-Smart Shorting Strategy

@ Daily

1.36

Risk Reward

111,641.17 %

Total ROI

524

Total Trades

MNTUSDT SPOT (MNTUSDT)

+ Pump-Smart Shorting Strategy

@ 4 h

1.23

Risk Reward

76,890.47 %

Total ROI

591

Total Trades

ICP / TetherUS (ICPUSDT)

+ Pump-Smart Shorting Strategy

@ Daily

1.22

Risk Reward

1,612,165.34 %

Total ROI

484

Total Trades

Oklo Inc. (OKLO)

+ Pump-Smart Shorting Strategy

@ Daily

1.20

Risk Reward

1,703,357.38 %

Total ROI

180

Total Trades

Oklo Inc. (OKLO)

+ Pump-Smart Shorting Strategy

@ 2 h

1.20

Risk Reward

2,977,514.96 %

Total ROI

412

Total Trades

FIL / TetherUS (FILUSDT)

+ Pump-Smart Shorting Strategy

@ Daily

1.20

Risk Reward

1,760,592.03 %

Total ROI

504

Total Trades

Coinbase Global, Inc. (COIN)

+ Pump-Smart Shorting Strategy

@ Daily

1.20

Risk Reward

10,311,736.17 %

Total ROI

338

Total Trades

VeChain / TetherUS (VETUSDT)

+ Pump-Smart Shorting Strategy

@ Daily

1.19

Risk Reward

4,535.00 %

Total ROI

709

Total Trades

Alstom (ALO)

+ Pump-Smart Shorting Strategy

@ Daily

1.17

Risk Reward

991,306.55 %

Total ROI

300

Total Trades

Australian Dollar/U.S. Dollar (AUDUSD)

+ Pump-Smart Shorting Strategy

@ Daily

1.17

Risk Reward

25,133.35 %

Total ROI

438

Total Trades

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Pump-Smart Shorting 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

>1,000%

Avg net profit

+287%

Avg annualized return

>1,000%

Avg max drawdown

0.10

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by >1,000% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	52	1.1	>1,000%	—	0.13
Stocks	440	1.1	>1,000%	>1,000%	0.10
Forex	67	1.3	>1,000%	>1,000%	0.03

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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