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 255 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 Risk/Reward Ratio > 3

@ Daily

4.76

Risk Reward

60.33 %

Total ROI

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

3.49

Risk Reward

173.27 %

Total ROI

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

3.35

Risk Reward

50.57 %

Total ROI

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 4 h

3.25

Risk Reward

46.37 %

Total ROI

122

Airbnb, Inc. (ABNB)

+ RIPO BOT

@ Daily

2.99

Risk Reward

41.60 %

Total ROI

118

Alstom (ALO)

+ RIPO BOT

@ Daily

2.92

Risk Reward

46.70 %

Total ROI

148

Shiba Inu / United States Dollar (SHIBUSD)

+ RIPO BOT

@ Daily

2.83

Risk Reward

12.62 %

Total ROI

DocuSign, Inc. (DOCU)

+ RIPO BOT

@ Daily

2.79

Risk Reward

101.94 %

Total ROI

157

Norwegian Cruise Line Holdings Ltd. (NCLH)

+ RIPO BOT

@ Daily

2.79

Risk Reward

136.18 %

Total ROI

166

Robinhood Markets, Inc. (HOOD)

+ RIPO BOT

@ 4 h

2.74

Risk Reward

71.06 %

Total ROI

123

SNX / TetherUS (SNXUSDT)

+ RIPO BOT

@ Daily

2.52

Risk Reward

24.18 %

Total ROI

121

FTX Token (FTTUSD)

+ RIPO BOT

@ Daily

2.41

Risk Reward

30.58 %

Total ROI

126

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Active Trades

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Ethereum / TetherUS (ETHUSDT)

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TetherUS / USD (USDTUSD)

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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.

255

Backtests run

1.4

Avg profit factor

+62%

Avg net profit

+8%

Avg annualized return

20%

Avg max drawdown

0.14

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 42% 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	+65%	21%	0.13
Forex	73	1.3	+49%	6%	0.25

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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