Fibo & Gann variations - page 37

Fibonacci in Forex (Part I): Examining the Price-Time Relationship

Fibonacci in Forex (Part I): Examining the Price-Time Relationship

Everything is number", proclaimed Pythagoras in the 6th century BC. His followers believed that numerical relationships underlie the structure of the universe, and that understanding these relationships opens the door to comprehending and predicting any processes occurring within it. Two millennia later, this intuitive insight of the ancient Greeks found unexpected confirmation in quantum mechanics, relativity, and chaos theory: the fundamental laws of nature are indeed expressed through mathematical relationships
Fibonacci in Forex (Part I): Examining the Price-Time Relationship
Fibonacci in Forex (Part I): Examining the Price-Time Relationship
  • 2026.01.15
  • www.mql5.com
How does the market observe Fibonacci-based relationships? This sequence, where each subsequent number is equal to the sum of the two previous ones (1, 1, 2, 3, 5, 8, 13, 21...), not only describes the growth of the rabbit population. We will consider the Pythagorean hypothesis that everything in the world is subject to certain relationships of numbers...

Building an Adaptive Fibonacci Volatility Band Indicator in MQL5

Building an Adaptive Fibonacci Volatility Band Indicator in MQL5

Traditional price band indicators often rely on fixed distances, making them less responsive to changing market volatility and reducing their effectiveness across different market conditions. To address this limitation, we will build an adaptive Fibonacci volatility band indicator. It adjusts band width using a smoothed Average True Range (ATR) and uses a smoothed price as the center line. The resulting indicator can be used to visualize dynamic volatility zones, identify potential support and resistance areas, and analyze how price behaves as market volatility expands or contracts. We will implement the indicator in MQL5. It calculates smoothed ATR and price values, applies Fibonacci ratios to generate multiple band levels, and plots filled volatility zones.