Polygon

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  1. Polygon

A polygon is a closed two-dimensional shape with straight sides. The term derives from the Greek words "poly" (meaning many) and "gon" (meaning angle). Essentially, a polygon is any flat, closed shape formed by a finite number of straight line segments connected end-to-end. This article will provide a comprehensive introduction to polygons, covering their types, properties, calculations, and applications, particularly aiming at a beginner's understanding. We will also touch upon how concepts related to polygons can be metaphorically applied to understanding market trends, a concept frequently used in Technical Analysis.

Basic Definitions & Components

Before diving into the various types of polygons, let's define the key components:

  • Vertices (singular: Vertex): These are the points where the sides of the polygon meet. They are also often called corners.
  • Sides: These are the straight line segments that form the polygon.
  • Angles: These are formed where two sides meet at a vertex. A polygon has as many angles as it has sides and vertices.
  • Interior Angles: Angles formed *inside* the polygon.
  • Exterior Angles: Angles formed *outside* the polygon when one side is extended.
  • Closed Shape: A polygon *must* be closed, meaning all sides are connected and there are no gaps.
  • Two-Dimensional: Polygons exist on a flat plane, having length and width but no thickness.

Types of Polygons

Polygons are classified based on the number of sides and their properties. Here's a breakdown of common types:

  • Triangle (3 sides): The simplest polygon. Triangles are fundamental in geometry and have numerous subtypes (equilateral, isosceles, scalene, right-angled). Understanding triangle patterns is analogous to recognizing chart patterns in Candlestick Patterns.
  • Quadrilateral (4 sides): Includes squares, rectangles, parallelograms, rhombuses, trapezoids, and kites. Analyzing quadrilateral formations can be loosely compared to identifying symmetrical Double Top or Double Bottom formations in financial markets.
  • Pentagon (5 sides): Often seen in nature, like the shape of starfish.
  • Hexagon (6 sides): Commonly found in beehives.
  • Heptagon (7 sides): Also known as a septagon.
  • Octagon (8 sides): Stop signs are a familiar example.
  • Nonagon (9 sides):
  • Decagon (10 sides):
  • Dodecagon (12 sides):

Polygons with more than ten sides are generally referred to by their numerical name (e.g., tridecagon for 13 sides) or simply as *n*-gons, where *n* represents the number of sides.

Regular vs. Irregular Polygons

  • Regular Polygon: A polygon where all sides are equal in length, and all interior angles are equal in measure. An equilateral triangle and a square are examples of regular polygons. In trading, a regular pattern might be likened to a consistently predictable Support and Resistance Level.
  • Irregular Polygon: A polygon where the sides are not all equal, and/or the interior angles are not all equal. Most real-world shapes are irregular. Irregular patterns in markets can signal volatility or a change in Trend.

Convex vs. Concave Polygons

  • Convex Polygon: A polygon where all interior angles are less than 180 degrees. If you extend any side, the entire polygon lies on one side of the line. Convex patterns in trading often suggest a continuation of an established Uptrend.
  • Concave Polygon: A polygon where at least one interior angle is greater than 180 degrees. This creates an indentation. Concave patterns can indicate potential Reversal Patterns.

Calculating Properties of Polygons

Several formulas are useful for calculating properties of polygons:

  • Sum of Interior Angles: (n - 2) * 180 degrees, where *n* is the number of sides. For example, a hexagon (n=6) has interior angles summing to (6-2) * 180 = 720 degrees.
  • Each Interior Angle in a Regular Polygon: ((n - 2) * 180) / n. For a regular pentagon (n=5), each interior angle is ((5-2) * 180) / 5 = 108 degrees.
  • Sum of Exterior Angles: Always 360 degrees, regardless of the number of sides.
  • Each Exterior Angle in a Regular Polygon: 360 / n.
  • Area: The area calculation varies depending on the type of polygon. For example:
   *   Triangle: 1/2 * base * height
   *   Square: side * side
   *   Rectangle: length * width
   *   Regular Polygon:  (1/2) * perimeter * apothem (apothem is the distance from the center of the polygon to the midpoint of a side).
  • Perimeter: The sum of the lengths of all sides.

Understanding these calculations is crucial for more advanced geometric problems and can be metaphorically extended to analyzing the 'size' or 'strength' of a market Trend Line.

Polygon Applications

Polygons are ubiquitous in various fields:

  • Architecture: Buildings often incorporate polygonal shapes for structural integrity and aesthetic appeal.
  • Engineering: Polygons are used in designing bridges, towers, and other structures.
  • Computer Graphics: Polygons are the basic building blocks for creating 3D models and images. Ray Tracing and Rasterization rely heavily on polygonal representations.
  • Cartography: Maps use polygons to represent countries, states, and other geographical regions. GIS (Geographic Information Systems) utilizes polygonal data extensively.
  • Art and Design: Polygons are fundamental elements in many artistic styles, including Cubism and geometric abstraction.
  • Navigation: Polygons are used in defining areas for route planning and collision avoidance.
  • Finance & Trading (Metaphorical): As highlighted throughout this article, the concept of identifying and analyzing shapes (like polygons) is used in Chart Pattern Recognition to predict future price movements. The 'sides' of a polygon can be seen as representing price action, and the 'angles' can indicate the strength or weakness of a trend. A sharp angle might indicate a potential Breakout, while a rounded angle could suggest consolidation. The overall 'shape' can be interpreted using concepts like Elliott Wave Theory. Recognizing polygonal formations within price charts is a subjective skill, but one that many traders strive to develop. Fibonacci Retracements can be visualized as creating polygonal divisions within price ranges. Bollinger Bands create a polygonal envelope around price action. Ichimoku Cloud utilizes multiple lines creating a complex polygonal shape to analyze trends. MACD (Moving Average Convergence Divergence) histograms can be viewed as forming polygonal patterns. RSI (Relative Strength Index) often displays polygonal formations representing overbought or oversold conditions. Stochastic Oscillator patterns also frequently exhibit polygonal characteristics. Average True Range (ATR) can influence the 'width' of potential polygonal formations. Volume Weighted Average Price (VWAP) can act as a 'side' or boundary within a polygonal price pattern. Parabolic SAR creates a parabolic-shaped polygon, indicating potential trend reversals. Donchian Channels form a polygonal boundary around price movements. Pivot Points create polygonal levels of support and resistance. Moving Averages can be seen as smoothing out price action, creating a more defined polygonal shape. Keltner Channels form polygonal boundaries using ATR. Commodity Channel Index (CCI) can exhibit polygonal formations. Chaikin Money Flow (CMF) can influence the formation of polygonal patterns. Accumulation/Distribution Line can be interpreted within a polygonal context. On Balance Volume (OBV) can contribute to the overall shape of polygonal price patterns. Williams %R can create polygonal formations indicating overbought or oversold conditions.

Special Polygons

  • Cyclic Polygon: A polygon that can be inscribed in a circle (all vertices lie on the circumference of a circle).
  • Equiangular Polygon: A polygon where all angles are equal.
  • Equilateral Polygon: A polygon where all sides are equal.
  • Star Polygon: A non-convex polygon formed by connecting non-adjacent vertices.

Further Exploration

  • Euclidean Geometry provides the foundational principles for understanding polygons.
  • Trigonometry is essential for calculating angles and sides of polygons.
  • Coordinate Geometry allows for the precise representation of polygons on a coordinate plane.
  • Fractals exhibit self-similar polygonal patterns at different scales.
  • Tessellations involve covering a plane with polygons without gaps or overlaps.

See Also

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