Moon Phases (moon phases and derived)

本文提出了一个新颖的想法，将月相与经典的公历（太阳）日历时间采样方法相结合，以在股票市场中寻找有意义的模式。四个主要的月相（新月、第一季度、满月和第三季度）在时间上是不规则的，但随着月球绕地球运行完成其周期，具有明确定义的采样结构。满月可能会出现在一年中的一个月的 2 日，下个月的满月可能会出现在 4 日，接下来的十年可能会出现在同月的 13 日。这种时间上不规则的结构使得与股市数据一起研究很有趣。此外，月球会影响地球上的多种物理事物，例如海洋潮汐、生物的行为以及人类在冒险和投资时的情绪和决策。

This paper proposes a novel idea that combines lunar phases with classic Gregorian (solar) calendar time sampling methods to identify meaningful patterns in stock markets. The four primary lunar phases—new moon, first quarter, full moon, and third quarter—are temporally irregular, yet they feature a well-defined sampling structure as the Moon completes its orbital cycle around the Earth. For instance, a full moon may fall on the 2nd of a given month in a year, the full moon of the subsequent month may occur on the 4th, and over the following decade, full moons may appear on the 13th of the same calendar month. This temporally irregular structure makes it intriguing to conduct research alongside stock market data. Furthermore, the Moon exerts impacts on various physical phenomena on Earth, such as ocean tides, biological behaviors, as well as human emotions and decision-making processes during risk-taking and investment activities.

搜集汇总

背景与挑战

背景概述

该数据集将月相与公历时间采样结合，旨在探索股市中的潜在模式，并考虑月球对地球物理和人类决策的影响。它由麻省理工学院于2021年发布。