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I11L OIL Bot

Script from: TradingViewSwingBreakoutTrend followingBotMean reversionReversalVolatilityCandlestick

The I11L OIL Bot uses Bollinger Bands with money management rules like Stop Loss (SL) and Take Profit (TP). Adjustable parameters include leverage, trade risk, TP factor, and dev multiplier. InvertBuyLogic checks System advantage. LookbackDistance affects signal frequency, and higher DevMult seeks outliers. Key updates include proper TP implementation, clearer logic inversion, enhanced band communication, upward TP adjustment, and adjustable post-trade halts.

Premium users only

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

@ Daily

3.58

Risk Reward

106.15 %

Total ROI

36

Premium users only

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

@ Daily

3.45

Risk Reward

232.39 %

Total ROI

74

Premium users only

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

@ Daily

3.27

Risk Reward

59.94 %

Total ROI

43

SEI / TetherUS (SEIUSDT)

+ I11L OIL Bot

@ Daily

2.69

Risk Reward

86.38 %

Total ROI

29

VeChain / TetherUS (VETUSDT)

+ I11L OIL Bot

@ Daily

2.63

Risk Reward

190.94 %

Total ROI

85

CoreWeave, Inc. (CRWV)

+ I11L OIL Bot

@ 4 h

2.41

Risk Reward

49.58 %

Total ROI

26

Fetch.AI / TetherUS (FETUSDT)

+ I11L OIL Bot

@ Daily

2.32

Risk Reward

216.20 %

Total ROI

81

Stellar / TetherUS (XLMUSDT)

+ I11L OIL Bot

@ Daily

2.20

Risk Reward

124.06 %

Total ROI

78

Dogecoin / TetherUS (DOGEUSDT)

+ I11L OIL Bot

@ Daily

2.18

Risk Reward

137.10 %

Total ROI

72

Tezos / TetherUS (XTZUSDT)

+ I11L OIL Bot

@ Daily

1.96

Risk Reward

112.17 %

Total ROI

66

Algorand / TetherUS (ALGOUSDT)

+ I11L OIL Bot

@ Daily

1.90

Risk Reward

119.24 %

Total ROI

73

DOT / TetherUS (DOTUSDT)

+ I11L OIL Bot

@ Daily

1.83

Risk Reward

78.56 %

Total ROI

55

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Active Trades

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I11L OIL 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 swing by holding period.

62
Backtests run
1.5
Avg profit factor
+103%
Avg net profit
+10%
Avg annualized return
27%
Avg max drawdown
0.12
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 67% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto721.5+59%22%0.12
Stocks7311.5+48%23%0.10
Forex671.3+73%9%0.08

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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