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BT-Bollinger Bands - Trend Following

Script from: TradingView

Swing

Trend following

Bot

Mean reversion

The "BT-Bollinger Bands - Trend Following" strategy uses Bollinger Bands to signal trend initiation, setting entries when price action breaches and closes across band extremes—long on closing above the upper band, short on closing below the lower band. Exits are executed when price reverts to the band's mean. For enhanced precision, integrate a moving average as an additional filter or automate entries and exits with compatible bot services.

XDC / Dollar (XDCUSD)

+ BT-Bollinger Bands - Trend Following

@ 1 h

2.15

Risk Reward

1,699.81 %

Total ROI

322

Total Trades

Bitcoin / TetherUS (BTCUSDT)

+ BT-Bollinger Bands - Trend Following

@ 4 h

1.77

Risk Reward

167.23 %

Total ROI

111

Total Trades

Mantle (MNTUSD)

+ BT-Bollinger Bands - Trend Following

@ 1 h

1.60

Risk Reward

434.74 %

Total ROI

198

Total Trades

MNTUSDT SPOT (MNTUSDT)

+ BT-Bollinger Bands - Trend Following

@ 1 h

1.54

Risk Reward

359.75 %

Total ROI

207

Total Trades

FIL / TetherUS (FILUSDT)

+ BT-Bollinger Bands - Trend Following

@ 4 h

1.51

Risk Reward

226.74 %

Total ROI

92

Total Trades

RUNE / US Dollar (RUNEUSD)

+ BT-Bollinger Bands - Trend Following

@ 2 h

1.44

Risk Reward

363.27 %

Total ROI

212

Total Trades

Cloudflare, Inc. (NET)

+ BT-Bollinger Bands - Trend Following

@ 4 h

2.38

Risk Reward

92.73 %

Total ROI

17

Total Trades

Accenture plc (ACN)

+ BT-Bollinger Bands - Trend Following

@ 1 h

2.37

Risk Reward

83.35 %

Total ROI

77

Total Trades

Caterpillar, Inc. (CAT)

+ BT-Bollinger Bands - Trend Following

@ 1 h

2.04

Risk Reward

105.33 %

Total ROI

89

Total Trades

Viatris Inc. (VTRS)

+ BT-Bollinger Bands - Trend Following

@ 4 h

2.03

Risk Reward

29.57 %

Total ROI

16

Total Trades

Charles Schwab Corporation (The) (SCHW)

+ BT-Bollinger Bands - Trend Following

@ 2 h

1.96

Risk Reward

46.90 %

Total ROI

46

Total Trades

Accenture plc (ACN)

+ BT-Bollinger Bands - Trend Following

@ 2 h

1.96

Risk Reward

29.22 %

Total ROI

45

Total Trades
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Guide

How does the BT-Bollinger Bands - Trend Following strategy work ?

The BT-Bollinger Bands - Trend Following strategy is specifically designed for studying trend behaviors and automating trade entry and exit signals using Bollinger Bands. This strategy initiates a long position when the price opens below and subsequently closes above the upper Bollinger Band. Conversely, a short position is triggered when the price opens above and then closes below the lower Bollinger Band.

Trade exits occur when the price touches the middle Bollinger Band average. The strategy allows for customization, such as implementing an Exponential Moving Average (EMA) as an additional filter to confirm trend direction before entering a trade.

This framework can be integrated with automated trading systems like 3commas.io by sending entry and exit signals to a bot. Conditions for trend-following are evaluated within user-defined time windows and do not entail a predetermined stop loss or take profit threshold, giving the trader flexibility in managing trades.

Settings for the Bollinger Bands in this specific application include a length of 7 and a standard deviation of 1.5, with the strategy applied to a 12-hour time frame for the ETH ticker.

How to use the BT-Bollinger Bands - Trend Following strategy ?

This trading strategy is a trend-following system that uses Bollinger Bands as its main indicator, with an optional Exponential Moving Average (EMA) as a filter. It allows for the opening of both long and short positions depending on the price's relationship to these indicators and a time window for execution.

To trade this strategy manually on TradingView:

  • Apply Bollinger Bands to your chart with the inputs: length (20) and standard deviation (2).
  • If using the EMA filter, apply an EMA with a length of 100.
  • To enter a long position: Wait for the price to close below the upper Bollinger Band and then cross above on the next candle, all while above the EMA if the filter is active.
  • To enter a short position: Wait for the price to close above the lower Bollinger Band and then cross below on the next candle, all while below the EMA if the filter is active.
  • Exit the long or short position when the price crosses the middle Bollinger Band (the moving average).

How to optimize the BT-Bollinger Bands - Trend Following trading strategy ?

Improving the "BT-Bollinger Bands - Trend Following" strategy for manual trading involves refining the existing signals, enhancing risk management, diversifying entry triggers, and examining price action for optimized execution. Here's a structured plan for these enhancements:

  • Refine Signals with Additional Technical Indicators:
    • Incorporate Relative Strength Index (RSI) to filter out false signals in overbought or oversold conditions. Enter trades when the RSI is neutral to confirm the Bollinger Bands trend indication.
    • Utilize the Moving Average Convergence Divergence (MACD) for confirming the momentum before entering trades. A positive MACD crossover supports a long position, while a negative crossover supports a short position.
  • Enhance Risk Management:
    • Set a fixed risk-to-reward ratio for every trade. For instance, aim for a minimum 1:2 risk-to-reward ratio to ensure more substantial gains on winners compared to losses on unsuccessful trades.
    • Determine stop losses based on recent swing highs or lows rather than solely relying on Bollinger Band mean reversion for exits.
  • Diversify Entry Triggers:
    • Consider price patterns such as triangles, flags, or double tops/bottoms forming near Bollinger Bands as additional entry triggers.
    • Look for breakouts or breakdowns with high volume to confirm the strength of the emerging trend.
  • Examine Price Action:
    • Analyze candlestick patterns at Bollinger Bands extremes to validate the potential trend reversals or continuations.
    • Evaluate the broader market context to ensure the alignment of individual trades with the overall market sentiment.
  • Periodic Review and Adaptation:
    • Backtest adjustments over historical data to gauge effectiveness and refine the parameters.
    • Periodically review the strategy's performance in varying market conditions to make necessary adaptations.

For which kind of traders is the BT-Bollinger Bands - Trend Following strategy suitable ?

The "BT-Bollinger Bands - Trend Following" strategy is tailored for traders who thrive on following market trends and have the discipline to adhere to rules-based trading. It suits:

  • Intermediate to Advanced Traders: Those familiar with technical analysis and comfortable with interpreting Bollinger Bands and potential filter indicators such as a moving average.
  • Swing Traders: Individuals looking to capture price movements within a two-fold range period, given the strategy’s application in a 12-hour time frame.
  • Automated System Users: Traders desiring to automate their trades using bots that can execute trades based on specific entry and exit signals provided by the strategy.
  • Adaptable Traders: Those who are comfortable adjusting a strategy's parameters to align with their risk tolerance and market perception.

Key Takeaways of BT-Bollinger Bands - Trend Following

  • Strategy Essence: Uses Bollinger Bands to identify trend starts and reversals, coupled with a moving average filter for additional trade confirmation.
  • Execution Methods: Compatible with automated bots and manual trading, with flexibility for alert-based prompts guiding entries and exits.
  • Optimization Approaches: Integrate RSI and MACD for refined signals, employ additional chart patterns and volume analysis for entry triggers, and apply a fixed risk-to-reward approach.
  • Risk Management: Define stop losses based on swing highs/lows and maintain a disciplined risk-to-reward ratio, backtest strategy adjustments to fine-tune parameters.
  • Trader's Profile: Best for those experienced in technical analysis, swing trading enthusiasts, and traders who balance automated signals with manual oversight.
  • Adaptation and Review: Continuously evaluate performance and adjust strategy settings to align with evolving market conditions and trader goals.
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