The Spiral Calendar Explained Part One

Posted: August 7th, 2016 under Commodities, Predictions, Stocks.

The Spiral Calendar

The Spiral Calendar, discovered by Chris Carolan has been used to make some remarkable forecasts such as the timing of the all time top in oil and the time of maximum panic in the 2008 crash. It is a time relationship between emotionally-extreme high and/or low points in stock and commodity market prices based on the lunar month of 29.53 days (synodic lunar month). The underlying mechanism is not understood, but is assumed to be built into our DNA due to millions of years of genetic algorithm training by the lunar cycle. Note that it’s not simply a monthly cycle that repeats, it’s more subtle/complex. Also note it does not concern planetary alignments or astrology – it’s purely based on the lunar cycle which has large physical affects here on earth. It’s easy to calculate into the future based on price data from 30 days ago or older.

Calculation Of The Spiral Calendar

Starting from any high or low point in prices, a series of time intervals are calculated that are equal to the lunar month 29.53 days, multiplied by the square root of fibonacci numbers. So the Fibonacci numbers are:

1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144…

and the square roots of these numbers are (number 1 is only shown once from here on):

1.00, 1.41, 1.73, 2.24, 2.83, 3.61, 4.58, 5.83, 7.42, 9.43, 12.00…

multiplying by 29.53 the number of days in the lunar month we get (in days):

29.53, 41.76, 51.15, 66.03, 83.53, 106.47, 135.33, 172.19, 219.00, 278.59, 354.37…

So these time intervals in days are added to a starting point that is an important high or low to produce a series of future dates that are possible highs or lows (i.e. trend change dates or turn days).

A Spiral Time Series In SPY Starting on February 11th, 2016

Starting from the stock market low on February 11th, 2016 (marked by the vertical purple line), we have plotted the future (as of Feb 11th) spiral dates as vertical red lines on the chart, each labelled f1, f2, f3 etc. corresponding to “square root of Fibonacci 1 month”, “square root of Fibonacci 2 months” and so on. We omit the square root sign for simplicity. So each of the spiral dates f1 through f8 corresponds to a potential high or low point in prices:

Spiral High or Low
f1 short term high on March 14th
f2 low of March 24th +1 day
f3 either high of April 1st +4 days or low of April 7th -2 days
f4 high of April 20th -1 day
f5 low of May 6th exactly
f6 high of May 31st exactly
f7 low of June 27th exactly
f8 high of August 1st exactly
f9 September 17th, 2016
f10 November 16th, 2016
f11 January 30th, 2017
f12 May 7th, 2017
f13 September 6th, 2017
f14 February 9th, 2018
f15 August 27th, 2018
f16 May 6th, 2019

As you can see the alignment of these spiral dates (or just “spirals”) with actual high and low points in prices is good. Always within plus or minus one or two days and often exactly on the day of a high or low. Now on Feb 11th, 2016, it was not obvious that that day was going to be a low, however maybe two or three days later after the market had rallied, you could interpret Feb 11th as a low and draw spirals into the future using only data up to say Feb 17th to predict that future dates as shown in the table would be turn days or trend change days. This single spiral calendar series is a useful prediction, but there are other important high and low dates in the past and other series of spirals from those dates. The next article will explore how the individual spiral dates from different spiral date series form clusters that enhance the predictive ability. If a given future date is predicted to be a turn date by more than one spiral date series, it’s more likely to be an important turn.

Note: click on the chart to see the full size version as browsers sometimes omit detail in scaled-down graphics.
A Spiral Time Series In SPY Starting on February 11th, 2016

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