Happy Holidays!

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As not everything in life has to be about how to price swaps or getting speed in your simulations. Some while back, an avid Qlang programmer wrote code that fits the season. Enjoy.

algoChristmas2024.qlw (8.8 KB)

Below is also a description of what the code does by a known AI agent.

This code generates dynamic, oscillating graphical patterns, likely for visualizing financial data, animations, or simulations.

Key Components:

  1. add_sim() Function:
    Initializes a simulated data stream ('tick50ms', 'BID', etc.) and ensures it’s added only once using the add_first_time flag. This avoids redundant initialization, common in simulations.
  2. Scaling Parameters:
    Variables like xScale, yScale, and zScale control the size and perspective of the visualization. These make the output flexible for different display or aesthetic requirements.
  3. getX() and getY() Functions:
    Calculate the X and Y coordinates of points using trigonometric (cos) and linear scaling functions. These create oscillating and wave-like patterns for dynamic, smooth visuals.
  4. xtree() Function:
    Generates a vector of points forming a structure, with features like:
  • Dynamic Evolution: Adjusts max to make the pattern grow or oscillate over time.
  • Depth Effect: Computes perspective using a z calculation to simulate 3D.
  • Detail Control: Changes point density based on zoff, simulating light/shadow or detail variation.
  1. xtreeLeft() and xtreeRight():
    Create complementary patterns for symmetrical visuals, useful in dashboards or animations.

Purpose

This system blends financial simulation data with mathematical patterns to produce engaging, evolving animations. It’s designed for:

  • Financial visualizations (e.g., market trends).
  • Decorative or artistic animations.
  • Real-time simulation displays with dynamic depth and symmetry.

It balances simplicity with flexibility, allowing customization and visually appealing effects.

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