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I11L OIL Bot

Script from: TradingView

Swing

Breakout

Trend following

Bot

Mean reversion

Reversal

Volatility

Candlestick

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.

Dogecoin / TetherUS (DOGEUSDT)

+ I11L OIL Bot

@ Daily

2.82

Risk Reward

156.16 %

Total ROI

59

Total Trades

Stellar / TetherUS (XLMUSDT)

+ I11L OIL Bot

@ Daily

2.62

Risk Reward

128.95 %

Total ROI

67

Total Trades

VeChain / TetherUS (VETUSDT)

+ I11L OIL Bot

@ Daily

2.45

Risk Reward

160.38 %

Total ROI

75

Total Trades

DOT / TetherUS (DOTUSDT)

+ I11L OIL Bot

@ Daily

2.34

Risk Reward

93.27 %

Total ROI

44

Total Trades

Cosmos / TetherUS (ATOMUSDT)

+ I11L OIL Bot

@ Daily

1.42

Risk Reward

68.37 %

Total ROI

67

Total Trades

Ethereum Classic / TetherUS (ETCUSDT)

+ I11L OIL Bot

@ Daily

1.36

Risk Reward

46.52 %

Total ROI

63

Total Trades

Rent the Runway, Inc. (RENT)

+ I11L OIL Bot

@ 4 h

2.21

Risk Reward

60.43 %

Total ROI

28

Total Trades

Coinbase Global, Inc. (COIN)

+ I11L OIL Bot

@ Daily

1.73

Risk Reward

39.48 %

Total ROI

30

Total Trades

Rivian Automotive, Inc. (RIVN)

+ I11L OIL Bot

@ 2 h

1.56

Risk Reward

31.74 %

Total ROI

69

Total Trades

Globe Life Inc. (GL)

+ I11L OIL Bot

@ 5 min

1.43

Risk Reward

34.07 %

Total ROI

114

Total Trades

Rivian Automotive, Inc. (RIVN)

+ I11L OIL Bot

@ 1 h

1.40

Risk Reward

38.24 %

Total ROI

101

Total Trades

Stellantis NV (STLAP)

+ I11L OIL Bot

@ Daily

1.37

Risk Reward

82.72 %

Total ROI

199

Total Trades
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Guide

How does the I11L OIL Bot strategy work ?

The I11L OIL Bot leverages Bollinger Bands to identify potential trade opportunities in the market, enhanced by specific money management protocols. Key components adjustable by users include:

  • Leverage: Controls the multiplication factor of the trading position size, affecting potential gains or losses.
  • Risk Capital per Trade: Defines the exposure rate per trade, crucial for aligning with the leverage chosen.
  • TP_Factor: Defaulted at a 2:1 risk/reward ratio, can be modified to suit market conditions.
  • InvertBuyLogic: A functional swap that toggles between the traditional and reverse trade logic to determine system reliability.
  • LookbackDistance: Sets the period over which standard deviation is assessed, influencing signal frequency.
  • DevMult: Adjusts the threshold for market outlier capture by multiplying the standard deviation bands.

The strategy execution is complemented by improved communication through color-coded Bollinger Bands, enhancing visual clarity. A trading halt function post-trade ensures disciplined market participation, maintaining structured trading hours.

How to use the I11L OIL Bot strategy ?

This trading strategy uses Bollinger Bands to determine buy and sell signals, employing either an "Outbreak" or "Reversal" mode depending on market conditions and a specified profit (TP) and stop-loss (SL) factor based on given percentages. To trade this strategy manually:

Follow these steps on TradingView:

  • Select the desired symbol and timeframe.
  • Add the Bollinger Bands indicator from the indicators section. Change the length to 25 and standard deviation to 2.0.
  • Define the mode: In "Outbreak" mode, go long when the price crosses over the lower Bollinger Band. In "Reversal" mode, go long when the price crosses under the upper Bollinger Band.
  • Set the position size using leverage (e.g., select margin multiplier) based on a calculation using available capital divided by the current price.
  • Set the stop-loss at 1% below the entry price and the take-profit at 2.175% above the entry price (adjust according to leverage factor). Enter these as alerts or manual exit conditions.
  • After entering a trade, refrain from additional entries for a cool-off period (6 hours by default) until an hour has passed since the last sell action.

How to optimize the I11L OIL Bot trading strategy ?

Improving the I11L OIL Bot strategy for manual trading involves refining various components for optimal performance. Here’s a plan to enhance the strategy:

1. Fine-tune Bollinger Band Parameters:

  • Adjust the lookback period based on market volatility. In a highly volatile market, consider a longer period to reduce noise; in a less volatile market, a shorter period may capture more opportunities.
  • Experiment with the standard deviation multiplier for Bollinger Bands. This helps adapt to different market conditions by capturing relevant outliers.

2. Optimize Entry and Exit Conditions:

  • Use additional indicators like RSI or MACD to filter entries, confirming a trend or divergence before initiating a trade.
  • Consider volume analysis to verify the strength of breakouts or reversals. Higher volume can confirm the validity of a move.
  • Use candlestick patterns such as engulfing patterns or pin bars at bands to better time entries.

3. Enhanced Money Management:

  • Reassess leverage: Keep leverage in line with your risk tolerance and the reliability of potential trades determined by combined indicators.
  • Dynamic stop-loss and take-profit: Adjust these based on the volatility and typical price movement range of the asset instead of fixed percentages.
  • Utilize a risk-reward ratio strategy to consistently reassess exits. Ensure the potential reward outweighs the risk.

4. Consistent Monitoring and Adjustment:

  • Regularly back-test the strategy modifications to ensure statistical significance and refine the parameters accordingly.
  • Stay updated with economic announcements or global events affecting oil, which may require temporary strategy adjustments.
  • Monitor trades manually to observe any missed qualitative factors that might improve decision-making.

5. Psychological and Environmental Adjustments:

  • Maintain disciplined trading by sticking to the enhanced rules and not deviating based on emotions.
  • Implement a cool-off period post-trade or after consecutive losses to avoid revenge trading and encourage strategic assessment.
  • Record each trade’s rationale and performance to identify patterns or areas for further enhancement.

For which kind of traders is the I11L OIL Bot strategy suitable ?

This trading strategy is tailored for intermediate to advanced traders who have a solid understanding of technical indicators and market dynamics. It is suited for those who prefer a systematic approach that blends quantitative analysis with risk management.

Key characteristics include:

  • Style: Predominantly fits the trend-following and mean-reversion styles through its dual-mode capability ("Outbreak" and "Reversal").
  • Risk Appetite: Suitable for traders with a moderate risk tolerance due to its leveraged positions and adjustable stop-loss and take-profit mechanisms.
  • Time Commitment: Ideal for those who can dedicate time to monitor market conditions and adapt settings based on volatility.
  • Technical Analysis Know-How: Beneficial for traders adept at interpreting candlestick patterns, using auxiliary indicators, and applying volume analysis to enhance trade reliability.

Key Takeaways of I11L OIL Bot

Key Takeaways:

  • Strategy Overview: Utilizes Bollinger Bands, switching between “Outbreak” and “Reversal” modes to capture market trends or mean reversions.
  • How It Works: Relies on price crossing Bollinger Bands' upper or lower boundaries for trade signals, with adjustable leverage, SL, and TP factors.
  • Usage: Suitable for automated trading on TradingView or manual trading with indicators and alerts; enhanced by additional manual market analysis.
  • Optimization Tips: Adjust Bollinger Band parameters and integrate RSI or MACD for confirmation. Monitor volume and use candlestick patterns to refine entries.
  • Risk Management: Align leverage with risk tolerance, dynamically adjust SL and TP based on market conditions, and maintain a favorable risk-reward ratio.
  • For Whom: Designed for intermediate to advanced traders with a focus on systematic approaches and a moderate risk appetite who can monitor and adapt strategies based on market contexts.
  • Monitoring and Adjustment: Regular back-testing, staying informed on global events, and disciplined trading practices are essential for maintaining effectiveness.
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