  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.
