Lune Aegis
Overview
Lune Aegis is an advanced automated strategy that uses a multi-dimensional AI to analyze market behavior across different time horizons. It classifies the market into distinct regimes—such as trending or ranging—and adapts its logic accordingly. By creating a composite score from a wide range of market factors, Lune Aegis identifies robust trading opportunities and adjusts its parameters in real-time based on recent performance.
This dynamic approach makes it a powerful and versatile tool for traders who need a strategy that can intelligently adapt to shifting market conditions.
Key Features
Multi-Horizon Analysis: The AI evaluates market data across short, medium, and long-term periods to build a comprehensive view of market dynamics.
Advanced Regime Detection: Intelligently identifies the current market state and adjusts its signal logic to match the environment.
Multi-Factor Signal Scoring: Generates signals based on a composite score derived from multiple layers of market analysis.
Performance-Based Adaptation: Automatically fine-tunes its internal thresholds based on recent trade performance to optimize its behavior over time.
Full Automation Compatibility: Integrates seamlessly with Lune Auto Trader for immediate and reliable trade execution.
Backtested Strategy Settings
Easily find and use the best-performing strategy settings by simply copying and pasting from here:
Regular Backtests: https://www.lunetrading.com/lune-aegis-backtests
Verified Deep Backtests: https://discord.com/channels/940718912738328586/1374499015982321786
Features
Learn more about Lune Aegis's features.
Dashboard SettingsSignal SettingsTime & SessionsTrade ManagementAdvanced Trade ExitsAlerts
Learn more about Lune Aegis's built-in alert system that allows users to receive multiple TradingView alerts with a single alert.
AlertsUpdate Logs
Learn more about the changes, improvements, and bug fixes introduced to this strategy.
Update LogsHow To Update
Learn how to update your TradingView strategy.
How To UpdateLast updated
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