Lunatic Stocks: Moon Phases as Irregular Sampling Features for Pattern Recognition in the Stock Markets

TL;DR

This paper explores using Moon phases as irregular sampling features to identify patterns in stock market data, leveraging their natural periodicity and potential influence on human behavior.

Contribution

It introduces a novel approach of incorporating Moon phases into stock market analysis, combining astronomical cycles with financial pattern recognition.

Findings

Moon phases provide meaningful irregular sampling points for market analysis

Patterns related to Moon phases correlate with stock market movements

Irregular sampling improves detection of market trends

Abstract

This paper presents a novel idea on incorporating the Moon phases to the classic Gregorian (Solar) calendar time sampling methods for finding meaningful patterns in the stock markets. The four main Moon phases (New Moon, First quarter, Full Moon and Third quarter) are irregular in time but with well defined sampling structure as the Moon orbits the Earth completing its period. A Full Moon may appear in one month of the year on the 2nd, on the next month the Full moon may appear on the 4th and in the next ten years on the 13th of the same month. This structure which is irregular in time makes it interesting to study together with the stock market data. Moreover, the moon affects multiple physical things on the earth, such as the ocean tides, the behavior of living organisms as well as humans mood and decision when risking and investing.