Lune Stratos

Overview

Lune Stratos is an intelligent automated strategy built on a powerful machine learning framework designed for adaptive pattern recognition. It employs an online learning model with an advanced optimizer to continuously adjust its parameters based on new market data. The AI analyzes up to eight user-defined market features to predict the probability of a significant, volatility-adjusted price move occurring within a specified number of future bars.

Its unique forward-looking learning system ensures that predictions are accurately matched with real outcomes, making it a robust and intelligent solution for automated trading.

Key Features

Adaptive Pattern Recognition: Uses a machine learning model that learns and identifies recurring market patterns in real-time.
Forward-Looking AI Model: The AI is trained to predict outcomes that occur a specific number of bars into the future, making its signals inherently predictive.
Online Learning Core: Features an advanced adaptive optimizer that continuously refines the strategy’s parameters, allowing it to adapt to changing market conditions without repainting.
Customizable Feature Engine: Allows you to select up to eight distinct market features for the AI to analyze, enabling deep customization of the strategy's logic.
ATR-Normalized Move Targets: Defines trade opportunities based on a desired price move relative to current market volatility, ensuring consistent performance across different assets and timeframes.
Full Automation Compatibility: Designed to work instantly with Lune Auto Trader, allowing for immediate and automated execution of every signal.

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-stratos-backtests
Verified Deep Backtests: https://discord.com/channels/940718912738328586/1374499015982321786

CRITICAL: Replicating Results

To achieve the exact results shown in our backtests, you must replicate the entire trading environment. Simply copying the strategy inputs is not enough. You must ensure the following match exactly:

Symbol/Instrument: Use the exact ticker and the correct exchange data feed.
Chart Timeframe: The chart interval must match the backtest (e.g., 5-minute vs 15-minute).
Candle Type: Ensure you are using Standard Candles. (Renko or Heikin Ashi will produce different results).
Properties Settings: Inside the strategy settings "Properties" tab, you must match the Initial Capital, Order Size, and Pyramiding settings.
Session: Verify if the chart is set to Regular Trading Hours (RTH) or Electronic Trading Hours (ETH).
Data Range: Our strategies are deeply backtested. If your chart does not load the same historical data range (start and end dates) as the original test, the cumulative results will differ.

These backtest results showcase optimized settings across a variety of symbols and market conditions. While the spreadsheets highlight specific equities or assets, the configurations themselves are versatile and adaptable to any market, including stocks, crypto, forex, indices, futures, and more.

Each setup is designed to help you quickly implement effective strategies without needing to build them from scratch.