Do moon phases influence financial markets?

mirabo_andreea

Junior member
16 1
Our opinion is that they do! Let’s find out if we are right…

We will tell you what moon phase means and what new moon and full moon is. We will find out when these events happened last year. We will analyze each graphic and understand the influence these moon phases have on the evolution of the market. Finally we will draw some conclusions to help us make financial predictions.

1. What full moon and new moon is?

A lunar phase is in fact the appearance of the illuminated part of the Moon as seen from the Earth. The lunar phase varies as the moon orbits the Earth accordingly to the positions of the Moon, Earth and Sun related to each other.
Every 28 days the Moon comes between the Sun and Earth. This means that the Moon is in conjunction with the Sun. At this specific moment the Moon is not visible to the eye, but the original meaning of “New Moon” refers to the first visible crescent of the Moon after conjunction. The Moon can be now seen over the western horizon and each night, the illuminated part gets bigger until, after 14 days, almost a whole hemisphere of the Moon can be seen. This is in fact the moment of the Full Moon. The Moon is now on the opposite side of the Earth from the Sun. This means that the Moon is in opposition with the Sun. The Full Moon rises over the horizon after the sunset. During the next 14 days the illuminated part decreases until the Moon is again in conjunction with the Sun (the next New Moon). The exact time for the Full Moon and the New Moon is determined using a mathematical formula and can be found in the ephemerides.
The first 14 days of the lunar month represent the period when the illuminated part of this celestial body raises and is considered the best part of all 28 days. It is a benefic time for new, important and complex things, for making new plans and for starting new projects. It is exactly what the elders said: the right thing at the right time!
The time between the 15th ant 28th days represents the decreasing period of the Moon and is considered inauspicious. During this second half of the lunar month we should continue the things we have already started working on and avoid making mistakes. It is not recommended to begin new actions because they are meant to fail.
If we apply this new information to the financial market we can find new rules: during the new moon and the first 14 days, people are driven to put into practice new plans (buying stocks for example); during and after the full moon there is a tendency towards waiting and even selling. There is a strong correlation between the period when the seen part of the Moon increases in size and the price of the stocks going up; and between the last 14 days of the lunar month (visible part of the Moon getting smaller) and the price of the stocks going down.

2. When did these lunar events happen in the last years?

This is a table with the times of the Full Moon and the New Moon in 2007 and 2008:





You are shown the year, the month, the day and the hour for each astrological event. As you can see the time period between a New Moon and a Full Moon is of 14 days, so an entire moon cycle lasts 28 days (a lunar month). During a year we will have 13 lunar months.

3. How did the financial market act at these specific moments in time?

Let us analyze the graphics for Dow Jones in 2007 and 2008. We have marked the points corresponding to the two lunar phases.

DOW: January – June 2007



DOW: July – December 2007



DOW: January – June 2008



DOW: July – December 2008



The mathematical relation between DOW and E-mini S&P 500 futures continuous is 1:9.8, almost 1:10. This means that one Dow point represents 10 S&P points. The graphics will show an almost perfect correlation between these indices regarding the moon phases. This is why we decided to analyze only the Dow index.
A mathematical study was made to compute all the lunar cycles for DJIA between 1915 and 1994. The conclusion was that there is a correlation between lunar phases and the market evolution. It also revealed some more detailed aspects very useful for trading. The study came to the conclusion that a few days before the New Moon, the market registers the lowest point of the 28 days interval. After that the market goes up for 14 days and a few days before the Full Moon goes down. The descending trend continues almost half of the next 14 days and after registering a Low, raises until the next New Moon. This is the graphic to explain what we have said.



4. Conclusions

a. The graphics worth a thousand words, as it is easier to understand what you have been told after looking at a graphic.
b. in most of the cases the Full Moon relates to a High, and the New Moon to a Low
c. if the rule does not apply (in less that 25% of the situations), we can be certain that these astrological events relate to a strong reversal point of the market
d. We have also analyzed many past years and the rules apply. You can verify the correlation also if you are attracted to this kind of research work
e. By showing you this study we are not trying to convince you that astrology is perfect. We just want to highlight the fact that there are correct ways of predicting the local High and Low and the reversal points. These kinds of studies helped us along the years build our trading system, the system we are basing our analysis and forecasts on.
 
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Patricia12

Active member
247 4
You establish a good relation between moon and financial markets but I did not understand completely because it is new term and concept for me.
 

trendie

Legendary member
6,474 1,088
Do you have DJIA charts for 2009, 2010 and 2011?
Is an "Inflexion Point" another word for margin call? (that's a joke by the way)

Are you aware of Welles Wilders Delta Phenomenon?
Does this moon-cycle stuff work on any market, or just indices?

Please keep this thread updated. (y)
 

the hare

Senior member
2,949 1,283
try plotting the spice girls birthdays on the same chart

could you trade it ?
 
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tuscan

Member
91 1
It corresponds with human behaviour (as I heard and seen some statistics on crimes, accidents etc dont know how reliable was it though) so the human factor in the valuing of instruments or judging what is good to take may be affected... so we could assume traders subconscious is more nervous ;)
maybe you may get more info by analizing your daily P&L over VERY long period or over many traders rather than a chart but on the other hand it is a zero sum game and I'm probably talkin ****
 

barjon

Legendary member
10,594 1,733
try plotting the spice girls birthdays on the same chart

could you trade it ?
ah- ha, the secrets of your random entries are beginning to emerge :LOL:

I believe there is some evidence that human behaviour is affected by the moon's phases. An educational survey, for example, pointed up a sharp rise in the "unruliness" quotient at full moons. Since traders are human beings (most of them anyway :devilish:) I guess it's conceivable that their behaviour could be affected as well. Bit of a stretch tho.
 

bbmac

Veteren member
3,584 787
It is certainly interesting and the OP presents an 'interesting' case. well done to them.

G/L

ah- ha, the secrets of your random entries are beginning to emerge :LOL:

I believe there is some evidence that human behaviour is affected by the moon's phases. An educational survey, for example, pointed up a sharp rise in the "unruliness" quotient at full moons. Since traders are human beings (most of them anyway :devilish:) I guess it's conceivable that their behaviour could be affected as well. Bit of a stretch tho.
 

ZEN archer

Experienced member
1,528 241
The lunar theory is a bit like TA - belivers are bolstered in their belief through communal reinforcement: the more people talk about the effect, the more people notice spurious relationships
 
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wackypete2

Legendary member
10,229 2,052
I notice every time there's a full moon the price of WOLF goes up.
What a howl this thread is!

Peter
 

the hare

Senior member
2,949 1,283
she's as foul as a bag of eels and is bound to mess it all up .
Well spotted !

Under certain conditions, you need to apply the Gerri Halliwell Inversion rule

Its covered in considerable depth in my advanced course (available to t2w members for a limited period for only $9,999)

:LOL:
 
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