Machine Learning Momentum Oscillator

The Machine Learning Momentum Oscillator indicator combines the K-Nearest Neighbors (KNN) algorithm with Tactical Sector Indicator (TSI) momentum to provide a noise-filtered perspective on market trends.

Usage

The Machine Learning Momentum Oscillator is designed to help traders identify the strength and direction of market momentum through a visually intuitive interface.

• Momentum Bars: The indicator displays colored bars to represent the current trend state. Green bars indicate bullish momentum or an uptrend, while red bars indicate bearish momentum or a downtrend driven by selling pressure.
• Smoothing: A smoothed line is applied to the machine learning predictions to help traders filter out minor price fluctuations and focus on the core trend direction.
• Turning Points: The oscillator features yellow boxes that highlight potential market peaks or turning points. These areas signal where momentum may be exhausting, suggesting possible trend reversals or corrective phases.
• Trend Identification: By comparing the relationship between the raw prediction and its smoothed counterpart, traders can gauge the velocity of current market movements.

Details

The script utilizes a KNN (K-Nearest Neighbors) algorithm to process TSI momentum data. This machine-learning approach is specifically implemented to handle noise more effectively than standard momentum oscillators. The logic calculates the distance between current data points and historical neighbors to classify the most likely direction of the next move. By integrating these predictions with a smoothed TSI framework, the tool provides a "deeper" perspective on price action that accounts for historical patterns.

Settings

➞ ML Core Settings 🔸

• Short Period: Sets the lookback period for the short-term momentum calculation used in the raw data processing.
• Long Period: Sets the lookback period for the long-term momentum calculation.
• Smoothing Period: Adjusts the length of the SMA applied to the ML predictions, helping to filter out market noise.
• Neighbours Count: Determines the number of historical data points the KNN algorithm considers when generating a prediction.
• Show prediction lines: Toggles the visibility of the underlying data lines used by the ML model on the indicator pane.

FAQ

How do I interpret the colored bars?

Green bars represent bullish sentiment and upward momentum, while red bars represent bearish sentiment and downward momentum.

What do the yellow boxes signify?

Yellow boxes highlight areas where the market may be reaching a peak or a turning point, signaling a potential reversal in momentum.

How can I access this indicator?

You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.