WD Gann: Vertical Lines for Predefined Days/Bars Ago

This Pine Script draws vertical lines on the chart at specific time intervals, inspired by WD Gann’s theories of time cycles. WD Gann, a famous trader, believed that market movements were influenced by predictable time cycles. This script enables traders to visualize these key time cycles on the chart by placing vertical lines at predefined intervals (in bars ago), helping to identify potential turning points in the market.

The time intervals used in this script are inspired by Gann’s work, as well as astrological and numerological principles, which many traders believe influence market behavior. You can customize which time intervals (such as 3, 7, 9, 21, etc.) you want to track by enabling or disabling specific vertical lines on the chart.

Key Features:
Time Cycles Based on Gann’s Theory: Draws vertical lines at significant time intervals such as 3, 7, 9, 21, 27 bars ago, which are commonly used by Gann traders.
Astrological & Numerological Significance: The predefined intervals also align with key numerological and astrological values, allowing for a broader perspective on market cycles.
Customizable Intervals: You can choose which time intervals to display by enabling or disabling checkboxes for each cycle, allowing flexibility in chart analysis.
Visual Labels: Each vertical line is labeled with its corresponding "bars ago" value, providing clear reference points for the selected time cycles.

What Users Can Do:

• Track and analyze market movements based on time cycles that are significant to Gann’s theory, as well as numerological and astrological influences.
  
• Enable or disable vertical lines for specific cycles, like the 3-bar cycle, 9-bar cycle, or 365-bar cycle, depending on the intervals that align with your trading strategy.
  
• Combine with other technical analysis tools and Gann techniques (e.g., Gann Angles, Gann Fans, or Square of Nine) for a more comprehensive trading approach.
  

This tool is designed for traders who believe in the power of time cycles to influence market behavior, and is especially useful for predicting turning points or key price movements based on these cycles.