Hyperwave Theory was developed by Tyler Jenks and attempts to explain prices through investor emotions. The theory suggests that market sentiment repeatedly moves between pessimism and optimism. These feelings often lead to a Hyperwave where the price climbs over time before reversing into a bearish trend. Although Jenks theorizes the pattern arises from market sentiment, the graph only uses technical analysis with price data to draw its trend lines. According to the Hyperwave Theory, there are seven phases in each market cycle.

In phases 1, 5, and 7, the asset’s price should stay below the resistance line. In phases 2, 3, 4, and 6, the price should remain above the support lines. Not every asset will stick to the rules completely, but there is evidence of the pattern existing in some markets. You can see below a rough example of the NASDAQ Composite 2000, graphically demonstrated by Leah Wald (CEO of Valkyrie Investments Inc.).

Let’s take a look at the Bitcoin bull run of 2017. If you apply the Hyperwave theory trends, you can see that it has a relatively good fit apart from phase one. You can also see the price rising at increasing speed, followed by a large crash that mainly follows the phases set out above.