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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
  • Overview
  • Signal Generation Logic
  • Settings
  • Best Practices & Usage

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  1. Automated TradingView Strategies
  2. Lune Automated Strategies
  3. Lune Stratos

Signal Settings

Overview

The Signal Settings panel within Lune Stratos allows users to control the generation and behavior of trade entry signals. This section includes controls for enabling or disabling long and short trade signals, along with key configuration parameters that influence the strategy’s signal generation engine.

While Lune Stratos is powered by advanced, statistically driven algorithms, the underlying signal logic is abstracted to preserve its proprietary design. This documentation outlines how to configure signal-related options without disclosing exact algorithmic behavior.

Signal Generation Logic

Lune Stratos uses a statistical learning-based method to generate trade signals. The core logic involves identifying market trends through statistical pattern recognition.

Signals are generated using a combination of historical price behavior, normalized scoring, and a configurable sensitivity threshold. These signals are designed to avoid repainting by confirming conditions only on completed bars.

Settings

Setting
Description

Long Trades

Enables or disables the generation of long (buy) signals.

Short Trades

Enables or disables the generation of short (sell) signals.

Machine Learning Lookback

Sets the rolling window size used to analyze historical price behavior.

Signal Score Threshold

Defines how sensitive the signal engine is. Higher values reduce frequency.

Best Practices & Usage

  • Enable Relevant Signals

    • Enable Long Trades if you're looking to capture upward price movements.

    • Enable Short Trades to participate in downward market moves.

  • Tune for Sensitivity

    • Use a lower Signal Score Threshold to increase signal frequency, which may be useful for scalping or short-term strategies.

    • Increase the Lookback value to smooth out signal behavior and reduce reaction to noise.

  • Balance Accuracy vs. Reactivity

    • A lower threshold increases responsiveness but may introduce more frequent signals, including false positives.

    • A higher threshold prioritizes stronger statistical patterns, which may reduce signal count but improve confidence.

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Last updated 27 days ago

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