@Samer ... you are to be commended for the detection of this pattern. A good researcher always looks for explanation of all events, natural or man-made. As for the statement: "Several cycles exists in the market and no one reason can explain their movements." That is quite true. Our observations are made post facto and some times we cannot explain what had happened let alone predicting what will com next. Economic events sometimes "random." However, in a the big picture----if we step back far enough ... say 30 years or so ... a pattern seems to appear. See Brownian motion. See link.

CYCLE: in order to find cycle, the following two conditions must be met: First condition: by definition a cycle is a sequence of iterated function values. Suppose that f is a function. The function f maps a finite set S where S:[s1, s2, ..., sj] for observed values corresponding to each si with X:[x1, x2, ..., xj]. The sequence is defined as:

x0, x1 = f(x0)

x2 = f(f1), ..., xi = f(xi-1) ...

The sequence must have the same value where i not = j but that xi = xj.

Second condition: Once the first condition is met, i.e. detecting the sequence, the sequence must repeat periodically by repeating the same sequence from xi to xj-1. The objective of the cycle detection is to find the value for i and j for a given function f with corresponding value x0 and for the subsequent sequence to repeat in a finite modulus.

CONTINUE THE STUDY: Since this discovery is too early to conclude whether there is an empirical evidence of cycle with modulus = 33 years---with the apparent occurrence of a complete cycle (one modulus 33 years), the study would have to be continue.; If the modulus is indeed 33 years, this would be quite a challenging project because we would have to wait another 33 years to see another sequence to repeat or if the sequence repeats in less than 33 years then the original hypothesis would be proven wrong and the apparent 33 years cycle would have been "coincidental" not an actual pattern.

REFERENCE: See attached article for  Monte Carlo fractorization algorithm or citation:  Brent, R. P. (1980), "An improved Monte Carlo factorization algorithm", BIT 20 (2): 176–184, doi:10.1007/BF01933190.

http://www.stat.berkeley.edu/~peres/bmbook.pdf

There are multiple factors which affect the market and in response marekt affect the products and participents. there are multiiple reason of any change in market. currently the oil pricing are reducing because of america proxy war and aim to disturb the economy of russia and iran. the major factors are demand and supply which change the patterns of market.

The price of oil is a key factor in the economies of the Gulf countries and other countries outside the OPEP organization.

A very special argeument is the US response on developing the events experienced in the Ukranie crisis, especially the indexing of the crime Russia. It is no longer acceptable to trigger a war with a powerful Énimie especially the neighbors are also very powerful (China, India).

The economic strength of Russia's oil, then all améraicain projects will be directed to pay the events by the opposite effect of lowering the price of oil to weaken Russia, and other countries.

@Samer ... you are to be commended for the detection of this pattern. A good researcher always looks for explanation of all events, natural or man-made. As for the statement: "Several cycles exists in the market and no one reason can explain their movements." That is quite true. Our observations are made post facto and some times we cannot explain what had happened let alone predicting what will com next. Economic events sometimes "random." However, in a the big picture----if we step back far enough ... say 30 years or so ... a pattern seems to appear. See Brownian motion. See link.

CYCLE: in order to find cycle, the following two conditions must be met: First condition: by definition a cycle is a sequence of iterated function values. Suppose that f is a function. The function f maps a finite set S where S:[s1, s2, ..., sj] for observed values corresponding to each si with X:[x1, x2, ..., xj]. The sequence is defined as:

x0, x1 = f(x0)

x2 = f(f1), ..., xi = f(xi-1) ...

The sequence must have the same value where i not = j but that xi = xj.

Second condition: Once the first condition is met, i.e. detecting the sequence, the sequence must repeat periodically by repeating the same sequence from xi to xj-1. The objective of the cycle detection is to find the value for i and j for a given function f with corresponding value x0 and for the subsequent sequence to repeat in a finite modulus.

CONTINUE THE STUDY: Since this discovery is too early to conclude whether there is an empirical evidence of cycle with modulus = 33 years---with the apparent occurrence of a complete cycle (one modulus 33 years), the study would have to be continue.; If the modulus is indeed 33 years, this would be quite a challenging project because we would have to wait another 33 years to see another sequence to repeat or if the sequence repeats in less than 33 years then the original hypothesis would be proven wrong and the apparent 33 years cycle would have been "coincidental" not an actual pattern.

REFERENCE: See attached article for  Monte Carlo fractorization algorithm or citation:  Brent, R. P. (1980), "An improved Monte Carlo factorization algorithm", BIT 20 (2): 176–184, doi:10.1007/BF01933190.

http://www.stat.berkeley.edu/~peres/bmbook.pdf

I think that the main factor affecting the oil prices is politics, all other factors do play only minor role in determining the prices of oil.

Yes indeed dear @Roland, politicians make this miserable politics.

For Brent: Not 33 years, but: 36+6: 1973 - Politics; 2008 - financial bubble; 2014 - crude production bubble!

But if you look at times series, you would find that GARCH models fits almost perfectly the crude volatility clustering!

Dear Dr.  Roland Iosif Moraru  ,

eventhough the general thoughts that politcs guide such movements by actual fact says the  opposit.

Dear Dr. @Niels Jensen you might check Macrotrend website.