Fractal Wave Marker

4月16日

Fractal Wave Marker is an indicator that processes relative extremes of fluctuating prices within 2 periodical aspects. The special labeling system detects and visually marks multi-scale turning points, letting you visualize fractal echoes within unfolding cycles dynamically.

What This Indicator Does

• Identifies major and minor swing highs/lows based on adjustable period.
  
• Uses Phi in power exponent to compute a higher-degree swing filter.
  
• Labels of higher degree appear only after confirmed base swings — no phantom levels, no hindsight bias. What you see is what the market has validated.
• Swing points unfold in a structured, alternating rhythm. No two consecutive pivots share the same hierarchical degree!
  

Inspired by the Fractal Market Hypothesis, this script visualizes the principle that market behavior repeats across time scales, revealing structured narrative of "random walk". This inherent sequencing ensures fractal consistency across timeframes. "Fractal echoes" demonstrate how smaller price swings can proportionally mirror larger ones in both structure and timing, allowing traders to anticipate movements by recursive patterns. Cycle Transitions highlight critical inflection points where minor pivots flip polarity such as a series of lower highs progress into higher highs—signaling the birth of a new macro trend. A dense dense clusters of swing points can indicate Liquidity Zones, acting as footprints of institutional accumulation or distribution where price action validates supply and demand imbalances.
Visualization of nested cycles within macro trend anchors - a main feature specifically designed for the chartists who prioritize working with complex wave oscillations their analysis.

5月8日

發行說明

Important Updates

• ✅ Fixed Repainting Issue while preserving alternating swing logicLabels now appear only after directional changes, ensuring structurally valid and non-repainting swings.
• ✅ Added “Phi Power Scaling” input to control the proportional scaling between base and nested swings.
  This enables dynamic fractal nesting based on power exponents of the Golden Ratio.
  

◇ Chronological capture of alternating swings ensures that each label marks a completed wave — not just a local pivot. The Fractal Wave Marker tracks oscillations similarly to ZigZag logic, but with an added structural filter. Unlike traditional pivot indicators that tag every local high or low, this tool labels only confirmed wave extremes, thanks to its built-in swing memory and direction-aware logic.

❖ Targeting Structure

1. Period — the primary control for tuning sensitivity to market structure.
   Adjusting this defines the resolution of base swings. (Partially impacts higher-degree markets.)
   • Lower values → more reactive swings
   • Higher values → broader, more dominant structure
   
2. Phi Power Scaling — determines the temporal separation between nested fractal waves. This input applies power exponents of Phi to the base period, aligning with natural structural growth seen in fractal systems.
   • 1–2: Captures nearby, short-term “fragmental shifts”
   • 3–4: Targets dominant higher-order wave patterns
   

This is a stable version of the analytical tool designed to interpret the geometric narrative of price flow, emphasizing the visual hierarchy between swings of different fractal scales.

5月10日

發行說明

Integrated 3rd window for processing price extremes at a broader time scale. New visual marking brings more clarity to the concept of nested waves.

5月16日

發行說明

Minor changes:

• Created a separate function for the initial stage of multi-scale swing detection.
  
• Revised and compressed the code to avoid unnecessary lines at various places.
  

5月23日

發行說明

Redesigned labeling to its original look with more reasonable gradual sizing.

5月25日

發行說明

Added multi-scale linear connection between labels.

5月25日

發行說明

Some fixes:

1. Wave hierarchy reflected in line width.
   
2. Removed some elements from prev version of code to reduce memory usage.
   

6 天前

發行說明

Minor changes to improve pattern readability.