VWMA-KNN Supertrend Nifty 50

VWMA-KNN Supertrend
The strategy essentially bridges traditional technical analysis with modern data science techniques, making it a hybrid quantitative approach to market timing and trend identification. combining traditional technical indicators with predictive algorithms.

Why This Specific Combination?
Complementary Strengths:
1. VWMA → Filters noise, focuses on significant moves
2. Supertrend → Provides clear trend framework and stop-loss levels
3. KNN → Adds predictive intelligence and pattern recognition
4. Volume → Ensures all signals are backed by real market participation

Problem-Solution Mapping:
• Problem: Traditional Supertrend has lag and false signals
• Solution: VWMA reduces noise, KNN anticipates changes
• Problem: Pure ML can be unstable and overfitted
• Solution: Supertrend provides robust trend framework
• Problem: Many indicators ignore volume
• Solution: VWMA integration throughout

Synergistic Effects:
• Volume validation + Trend following + Pattern recognition = More reliable signals
• Each component covers weaknesses of the others
• Creates a multi-dimensional view: price, volume, volatility, and historical patterns
This combination attempts to create a "smart trend follower" that learns from history while staying grounded in proven technical analysis principles.

Trading Logic Flow
1. Enter initial positions based on signals
2. Monitor trend - force exit opposing positions if trend changes
3. If position moves against you by 120 points AND trend is still favorable, double down
4. Exit when profit targets are hit (targets decrease with position size)
5. Reset all tracking variables on exit
This strategy attempts to profit from mean reversion while respecting the overall trend direction, using martingale sizing to potentially recover from initial losses.