RIPO BOT

Script from: TradingViewIntradayTrend followingMomentumBot

The RIPO BOT strategy employs a script that harnesses the Moving Average (MA) Trendline and Relative Strength Index (RSI) to identify strong buy signals. Currently, under fine-tuning, an update has advanced the stop loss (sl) to the mid-band of the Bollinger Bands (BBMC) for enhanced trade protection.

Top 272 Backtests of RIPO BOT

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

Filters

Premium users only

Premium users can access all backtests with a profit factor above 3

@ Daily

4.90

Profit Factor

62.61 %

Total ROI

Premium users only

Premium users can access all backtests with a profit factor above 3

@ Daily

3.37

Profit Factor

50.90 %

Total ROI

Premium users only

Premium users can access all backtests with a profit factor above 3

@ Daily

3.05

Profit Factor

43.07 %

Total ROI

120

Alstom (ALO)

+ RIPO BOT

@ Daily

2.92

Profit Factor

46.70 %

Total ROI

149

Shiba Inu / United States Dollar (SHIBUSD)

+ RIPO BOT

@ Daily

2.83

Profit Factor

12.62 %

Total ROI

DocuSign, Inc. (DOCU)

+ RIPO BOT

@ Daily

2.81

Profit Factor

103.38 %

Total ROI

159

Norwegian Cruise Line Holdings Ltd. (NCLH)

+ RIPO BOT

@ Daily

2.79

Profit Factor

136.18 %

Total ROI

166

SNX / TetherUS (SNXUSDT)

+ RIPO BOT

@ Daily

2.52

Profit Factor

24.18 %

Total ROI

121

FTX Token (FTTUSD)

+ RIPO BOT

@ Daily

2.41

Profit Factor

30.58 %

Total ROI

126

Lumentum Holdings Inc. (LITE)

+ RIPO BOT

@ Daily

2.38

Profit Factor

58.73 %

Total ROI

145

Transocean Ltd (Switzerland) (RIG)

+ RIPO BOT

@ Daily

2.29

Profit Factor

290.13 %

Total ROI

481

Zscaler, Inc. (ZS)

+ RIPO BOT

@ Daily

2.22

Profit Factor

34.14 %

Total ROI

104

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Active Trades

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RIPO BOT 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 intraday by holding period.

272

Backtests run

1.4

Avg profit factor

+62%

Avg net profit

+13%

Avg annualized return

19%

Avg max drawdown

0.17

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 46% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	80	1.6	+22%	20%	0.10
Stocks	1,420	1.4	+66%	21%	0.13
Forex	73	1.3	+43%	6%	0.24

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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