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[Stellar Strategies] BOS Trend 1.0
Logótipo de "[Stellar Strategies] BOS Trend 1.0"
Desde 19/10/2024
Volume negociado
20.46M
Pips ganhos
7.98K
Vendas
18
Instalações gratuitas
2845
Imagem carregada de "[Stellar Strategies] BOS Trend 1.0"Imagem carregada de "[Stellar Strategies] BOS Trend 1.0"Imagem carregada de "[Stellar Strategies] BOS Trend 1.0"Imagem carregada de "[Stellar Strategies] BOS Trend 1.0"Imagem carregada de "[Stellar Strategies] BOS Trend 1.0"Imagem carregada de "[Stellar Strategies] BOS Trend 1.0"Imagem carregada de "[Stellar Strategies] BOS Trend 1.0"

The [Stellar Strategies] BOS Trend is a premium multi-timeframe Break of Structure (BOS) indicator designed for cAlgo. It provides traders with critical insights into market trends by detecting uptrend and downtrend BOS across multiple timeframes.

Features:

  • Multi-Timeframe Analysis: Analyzes price movements across various timeframes (1 min to daily).
  • Customizable Timeframes: Enable or disable specific timeframes to tailor your analysis.
  • Real-Time Alerts: Displays messages on the chart when a BOS is detected.
  • User-Friendly Interface: Customizable text color for better visibility on different chart backgrounds.

Parameters:

  • Lookback Period (Default: 20): The number of bars to look back when detecting BOS.
  • Time Frame Parameters:
    • Use 1 Minute Time Frame
    • Use 5 Minute Time Frame
    • Use 15 Minute Time Frame
    • Use 30 Minute Time Frame
    • Use 1 Hour Time Frame
    • Use 4 Hour Time Frame
    • Use Daily Time Frame
  • Text Color (Default: "Yellow"): Sets the color for BOS messages.

How to Use the Indicator:

  1. Adding the Indicator:
    • Open your cAlgo platform.
    • Navigate to the indicators section and add the [Stellar Strategies] BOS Trend to your chart.
  2. Setting Parameters:
    • Lookback Period: Adjust the lookback period according to your trading strategy (default is 20 bars).
    • Enable/Disable Time Frames: Select the timeframes you want to analyze by checking or unchecking the corresponding options.
    • Text Color: Choose a text color that contrasts well with your chart background for clear visibility.
  3. Reading BOS Signals:
    • Uptrend BOS: Green lines indicate an uptrend break of structure.
    • Downtrend BOS: Red lines indicate a downtrend break of structure.
    • BOS Messages: Messages such as "Current TF: Uptrend BOS detected" will appear on the chart, along with other messages from different timeframes you have enabled.
  4. Interpreting the Data:
    • Use the BOS signals to identify potential trend reversals or continuations.
    • Pay attention to multiple timeframe analysis for stronger confirmation of trends.
  5. Customizing Display:
    • You can adjust the text color and position of BOS messages for better readability.

Example:

Here’s a step-by-step example of how to use the [Stellar Strategies] BOS Trend indicator:

  1. Add the Indicator:
    • Open a chart in your cAlgo platform.
    • Go to Indicators and select [Stellar Strategies] BOS Trend.
  2. Set the Parameters:
    • Set the Lookback Period to 20.
    • Enable Use 1 Minute Time Frame, Use 5 Minute Time Frame, and other timeframes as needed.
    • Set Text Color to "Yellow" for better visibility.
  3. Monitor the Chart:
    • Observe the green (uptrend) and red (downtrend) BOS lines on your chart.
    • Look for messages indicating BOS detection across different timeframes.
  4. Take Action:
    • Use the BOS signals to make informed trading decisions based on trend reversals or continuations.

By following these steps, you can effectively utilize the [Stellar Strategies] BOS Trend indicator to enhance your trading strategy with multi-timeframe BOS analysis.

Feel free to let me know if you need further assistance or more information! 📈📉

5.0
Avaliações: 1
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100 %
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Avaliações de clientes
August 18, 2025
Pros: Automatically detects and marks Break Of Structure points indicating trend shifts. Clean visual arrows and straightforward setup. Cons: No alerts, tooltips, or template saving. May produce noise without volume or market context filters.
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