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Cyclical Analysis: What It Is and How to Use It in Trading

Cyclical Analysis: What It Is and How It's Used in Trading
Cyclical Analysis is a type of analysis that investigates the medium and long-term movements of assets. It boasts a very substantial background, to the point of having been treated by some big names in the investment world, not least Kondratieff. Currently, cyclical analysis is a well-codified theory with solid foundations in reality. It has its principles, its terminologies, and of course, its exceptions. It is, therefore, worth providing an overview and some indications on how to exploit it for the benefit of both expert and less experienced traders.

A Definition of Cyclical Analysis

Cyclical analysis is based on the principle that price movements are ordered in cycles. It derives from the mantra so dear to technical analysis that "history repeats itself." Incidentally, cyclical analysis theorizes the existence of cycles but contemplates deviations from what are considered "ideal" cycles. As such, the present is certainly not equal to the past, but it provides several similarities compared to the latter. In turn, cyclical analysis derives from the theory of economic cycles, according to which economies unfold in moments of recession and moments of growth, presenting lows and highs. Generally, and in relation to all ordered markets, cycles are measured starting from the lows. These tend to remain constant, while the highs can vary, probably because they are more susceptible to emotions. Cyclical analysis contemplates the existence of multiple cycles. As such, at any given moment, an asset can be traversed by two, three, or four cycles simultaneously. Here is an overview.
  • Long-term cycles, which last at least two years
  • Seasonal cycles, which last at least one year
  • Intermediate cycles, which last from two months to six months
  • Trading cycles, which last at most one month
  • Alpha and beta cycles, which last two weeks each (and usually compose a trading cycle)
  • Kondratieff cycles, which last a full 54 years
By convention, long-term cycles and seasonal cycles form market trends. This is why they influence the movements of the asset more than any other cycle. Obviously, some markets are more inclined to produce certain cycles than others. For example, Forex tends to produce trading cycles, as currency pairs usually repeat lows every 4 weeks.

The Principles of Cyclical Analysis

Cyclical analysis consists of some principles. Or, better said, characteristics that belong to all market cycles. Here is an overview.
  • Principle of summation. It is a conventional principle, in the sense that it serves to provide parameters that can be used for summation purposes. In any case, it suggests that the sum of all market movements "makes up the entire economic cycle."
  • Principle of harmonicity. According to this principle, the length of cycles is in a ratio of 1 to 2 or 2 to 1. If a cycle lasts 20 days, the next short cycle will last 10 days, while the next long cycle will last 40 days.
  • Principle of synchronicity. By contrasting two cycles of the same size, the lows will tend to overlap. In essence, this principle theorizes that cycles of the same type have roughly the same length.
  • Principle of proportionality. According to this principle, the length parameter and the amplitude parameter are proportional to each other. As such, a cycle that lasts a long time will tend to produce lower highs than a cycle that lasts a short time.
  • Principle of variation. In a sense, this principle refines and better frames the previous principles. It suggests that the principles of harmonicity, synchronicity, and proportionality outline trends and do not represent rigid rules.

How Cyclical Analysis Can Help Traders

Ultimately, what is the purpose of cyclical analysis? According to some, it helps identify the moments of entry and exit from a market. In reality, this contribution is only real in the presence of dominant cycles. That is, cycles that tend to strongly characterize the market and repeat more or less equally among themselves perpetually. Therefore, cyclical analysis can be used for "quick" operations only if the market has a high rate of predictability. Obviously, few markets can be considered minimally predictable. For all the others, cyclical analysis represents a good interpretative framework. It can serve as a starting point to then practice a more refined analysis that takes into account contingencies. This is especially true for those markets that are radically susceptible to external events, linked to other contexts. These, being in no way predictable, also transmit unpredictability to the markets. Forex is halfway there. It is certainly a cyclical market, but it is still dominated by influences coming from outside, from the economy but also from politics. After all, it could not be otherwise: they represent - together with many other elements - the strength of a country.

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