neutronix community bot ML + Alerts 4h-daily (mod. capissimo)

The neutronix community bot indicator provides a multi-strategy framework for high-timeframe trading, utilizing a Learning Vector Quantization (LVQ) machine learning model to filter and generate signals on 4h to daily charts.

Usage

The Usage section describes how the script can be used, with focus on high-timeframe execution. To use the tool, apply it to timeframes such as 4h, 6h, 12h, or Daily. While lower timeframes can be used, the indicator is optimized for capturing broader market trends and reducing noise.

The script offers five distinct trading modes:

• AI Mode: Utilizes the machine learning engine to classify signals based on a training dataset.
• Scalping: Uses Price Channel breakouts and VWAP filtering.
• Supertrend: Integrates Pivot Reversal Supertrend logic for trend-following.
• Swing: Employs T3 moving averages for catching larger price swings.
• Manual: Provides expert-level analysis using dual Hull Moving Averages (HMA).

Users should fine-tune the Volume Filter and EMA Filter settings to match the volatility of the specific asset being traded. For automated alerts, it is recommended to set the alert condition to "Once Per Bar" to ensure synchronization between the visual signals and trade execution.

Details

The script is built upon an LVQ-based machine learning strategy originally developed by Capissimo. It has been refactored to include significant filtering mechanisms to eliminate false signals and "repaint" issues common in many predictive scripts.

Key technical components include:

• LVQ Engine: The machine learning logic uses a training period (defined in settings) to establish weights for price action classification. It calculates the "winner" between buy and sell weights to determine market bias.
• Institutional Filter: When "Institutional Trading" is enabled, the script uses VWAP as a "fair value" anchor, only allowing long signals above VWAP and short signals below it to follow institutional momentum.
• Volume Filtering: Employs a VWMA-based RSI calculation to ensure that signals are backed by sufficient market participation.
• Safety Exits: Includes multiple exit modes such as ATR-based trailing stops, percentage-based Take Profit/Stop Loss, and Moving Average crossovers to protect capital.

Settings

Filter options

• Trading mode: Selects the core logic for signal generation (AI, Scalping, Supertrend, Swing, or Manual).
• Institutional Trading: Enables/disables VWAP-based stance filtering.
• Ema filter?: Toggles a trend filter based on two Exponential Moving Averages.
• EMA1/EMA2 period: Sets the lengths for the trend-filtering EMAs.
• Volume filter?: Enables/disables filtering based on a volume threshold.

Take profits

• Exit mode: Determines the logic for trade exits (Auto, MA Cross, ATR, or Percent).
• Trailing Stop?: Enables a dynamic stop that follows price movement.
• Stop Loss % / Take Profit %: Sets fixed percentage levels for risk management.

AI options

• LBW (Lookback Window): Determines the period used for feature normalization in the ML model.
• Reverse Ai Signals?: Flips the output of the machine learning engine, often used in different market regimes.
• Training Start/Stop: Defines the historical date range the AI uses to train its internal weights.

FAQ

How do I reduce false signals in volatile markets? You can enable the "Institutional Trading" stance and the "Volume Filter" to ensure signals only occur during high-conviction moves relative to VWAP and market volume.

Can I use this for 1-minute scalping? While the bot was designed for 4h-Daily timeframes, you can use the "Scalping" mode on lower timeframes; however, you must adjust the Volume Threshold and EMA periods to account for increased market noise.

How do I access the neutronix community bot? You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.