The Quantum Leap: Renko + ML

(Note: This indicator uses the BackQuant & SuperTrend which takes a 4-5 seconds to load)

This strategy uses the following indicators (please see source code)

• Synthetic Renko: Ignores time and focuses purely on price movement to detect clear trend reversals (Red-to-Green).
  
• ATR (Average True Range): Measures volatility to calculate the Renko brick sizes and SuperTrend sensitivity.
  
• Adaptive SuperTrend: A trend filter that uses volatility clustering to confirm if the market is currently in a "Bearish" state.
  
• RSI (Relative Strength Index): A momentum gauge ensuring the asset is "Oversold" (exhausted) before we consider a setup.
  
• Monthly Pivots: Horizontal support lines based on last month's data acting as price "floors" (S1, S2, S3).
  
• SMA (Simple Moving Average): A 100-bar average ensuring we are strictly buying below the long-term mean (deep value).
  
• BackQuant (KNN): A Machine Learning engine that compares current data to historical patterns to predict immediate momentum.
  

This is a sophisticated, multi-stage strategy script. It combines "Old School" price action (Renko) with "New School" Machine Learning (KNN and Clustering).

Here is the high-level summary of how we will break this down:

Topic 1: The "Bottom Hunter" Setup. How the script uses Renko bricks and aggressive filtering (SuperTrend, SMA, RSI, Pivots) to find a potential market bottom.

Topic 2: The ML Engine (BackQuant & SuperTrend). How the script uses K-Nearest Neighbors (KNN) to predict momentum and Volatility Clustering to adjust the SuperTrend.

Topic 3: The "Leap" Execution. How the script synchronizes the Setup (Topic 1) with the ML Trigger (Topic 2) using a time window.

Topic 1: The "Bottom Hunter" Setup
This script is designed as a Mean Reversion strategy (often called "catching a falling knife" or "bottom fishing"). It is trying to find the exact moment a downtrend stops and reverses.

Most strategies buy when price is above the 200 SMA or above the SuperTrend. This script does the exact opposite.

The Logic:

Renko Bricks: It simulates Renko bricks internally (without changing your chart view). It waits for a specific pattern: A Red Brick followed immediately by a Green Brick (a reversal).

The "Bearish" Filters: To generate a "WATCH" signal, the following must be true:

Price < SuperTrend: The market must officially be in a downtrend.

Price < SMA: Long-term trend is down.

Price < Monthly Pivot: Price is deeply discounted.

RSI < Threshold: The asset is oversold (exhausted).

Recommended Settings for daily signals for Stocks :

Confirmation : 10. (How many bars after Renko Buy signal the AI has to identify a bullish move).

Percentage : 2 (This is the Renko bar size. This represents 2% move.)

SMA: 100 (Signal must be found below 100 SMA)

Price must be below: PIVOT (This is the monthly Pivot levels)