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Copyright © Lune Trading. Disclaimer: Past performance is not indicative of future results. Our content is for educational and informational purposes only, reflecting our perspectives and not professional financial advice. Trading and investing is risky.

On this page
  • Signal Autopilot
  • Overview
  • Setting
  • Best Practices & Usage
  • Examples
  • Machine Learning
  • Overview
  • Setting
  • Best Practices & Usage
  • Clarity AI
  • Overview
  • Setting
  • Best Practices & Usage
  • Examples
  • Clarity AI Rating Minimum
  • Overview
  • Setting
  • Best Practices & Usage

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  1. TradingView Indicators
  2. Lune Indicators Suite
  3. Lune Market Analysis

Advanced Settings

PreviousFeaturesNextAlerts

Last updated 10 months ago

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Signal Autopilot

Overview

The Signal Autopilot feature provides an efficient way to optimize your trading signals based on predefined settings tailored for different timeframes. Whether your focus is on short-term, mid-term, or long-term market movements, this feature allows for an instant configuration of signals to suit your trading perspective, streamlining the process of aligning your tools with your trading strategy. When this feature is enabled it will override your Signal Sensitivity and Velocity settings.

Setting

You can enable the Signal Autopilot feature in your indicator settings:

Signal Autopilot (Dropdown Options)
Description

Disabled

Disables Signal Autopilot.

Short-term

For short-term trends.

Mid-term

For mid-term trends.

Long-term

For long-term trends.

Best Practices & Usage

  • Selecting the Appropriate Timeframe: Choose a timeframe that aligns with your trading or investing strategy – short-term, mid-term, or long-term. This selection will automatically adjust the signal settings on your chart to correspond with the chosen timeframe, ensuring the signals are relevant to your strategy.

  • Understanding the Signals: Regardless of the selected timeframe, it's crucial to understand the meaning and implication of each signal within that context. Familiarize yourself with how these signals represent market movements and trends in your chosen timeframe.

Examples

Machine Learning

Overview

The Machine Learning setting in our indicator provides you with the flexibility to adjust the amount of data utilized by our machine learning-based features. This customization ensures that you can balance between the speed of indicator loading and the comprehensiveness of data analysis.

Setting

You can modify the Machine Learning settings in your indicator settings:

Machine Learning (Dropdown Options)
Description

Minimum

Minimum analysis.

Limited

Basic analysis.

Maximum

Full-depth analysis.

Best Practices & Usage

  • Optimizing for Speed: If the priority is quick loading times for your indicators, especially in fast-paced trading scenarios, adjust the Machine Learning setting to 'Minimum' or 'Limited'. This adjustment will process less data, resulting in swifter performance, though it will provide a narrower analysis scope.

  • Maximizing Data Analysis: For a comprehensive and in-depth market analysis, select the 'Maximum' setting in the Machine Learning feature. This setting enables the analysis of a more extensive data range, offering deeper insights and a thorough understanding of market trends.

  • Understanding the Impact: Gain a clear understanding of how different settings impact the performance and outcomes of your trading tools, enabling you to make more informed decisions about which settings to use in various trading situations.

Clarity AI

Overview

Clarity AI is a versatile setting that offers customizable settings for tailoring its predictive capabilities to your specific needs. By adjusting this setting, you can configure Clarity AI to focus on either short-term, mid-term or long-term predictions. This flexibility allows you to align the tool's insights with your trading horizon, whether you are looking for immediate trading opportunities or are planning for longer-term market movements.

Setting

You can adjust the Clarity AI settings in your indicator settings:

Clarity AI (Dropdown Options)
Description

Short-term

Configures Clarity AI to predict short-term trends.

Mid-term

Configures Clarity AI to predict mid-term trends.

Long-term

Configures Clarity AI to predict long-term trends.

Best Practices & Usage

  • Selecting Prediction Timeframe: Determine whether short-term or long-term predictions are more aligned with your trading strategy. Set Clarity AI to 'Short-term' for insights relevant to immediate market movements or 'Long-term' for a broader, more extended market outlook.

  • Aligning with Trading Style: Match the Clarity AI setting with your trading style. Day traders and scalpers may find short-term settings more beneficial, while swing traders and investors might prefer long-term predictions for their analysis.

  • Balancing AI Insights with Personal Judgment: While Clarity AI offers advanced predictive capabilities, balance its insights with your own market analysis and judgment. Remember, AI predictions are based on historical data and patterns, and the market can always behave unpredictably.

Examples

Clarity AI Rating Minimum

Overview

The Clarity AI Rating Minimum setting allows you to set a threshold for filtering signals based on their Clarity AI score. By adjusting this number, you can effectively eliminate signals that fall below your specified level of confidence, ensuring that you focus only on the signals that meet your criteria for reliability and strength.

Setting

You can configure the Clarity AI Rating Minimum settings in your indicator settings:

Clarity AI Rating Minimum (User Input)
Description

0-5

Use the adjustable number to filter signals according to your minimum Clarity AI score threshold.

Best Practices & Usage

  • Setting the Threshold: Determine the minimum Clarity AI rating that aligns with your risk tolerance and trading strategy. Set this as your threshold to filter out less reliable signals.

  • Aligning with Trading Objectives: If you prefer a conservative approach, set a higher threshold to receive only the highest-rated signals. For a more aggressive approach, a lower threshold will provide more signals, albeit with potentially higher risk.

  • Balancing Signal Quantity and Quality: Find a balance between the number of signals and their quality. A very high threshold might result in fewer signals, while a too low threshold could lead to an overwhelming number of signals with varied reliability.

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