Long

Semiconductors & Hashing-Rate Correlation Study

There are long periods of positive correlation between average bitcoin hashingrate in gigahashes/second and performance of major semiconductor ETFs like SOXX and SMH

As hashing and computing power in general shows massive increases in demand there are only a few companies that have the materials and knowledge to produce 'rocks that think' aka processors and other computing components made of earth metals and silicone.

When I see big printing bars in hashing power but 'divergence' in correlation I may consider adding to semiconductor positions via options on semiconductor ETFs and computing component companies like INTC, AMD, NVDA, and the like as it means someone went out and made a huge investment in processing power in order to make a 'blip' on the hashing map but the ETFs are reflecting a downside move. This divergence between correlation of hashing rate and semiconductors displays a market inefficiency in the expectation for demand of semiconductors and actual demand for semiconductors. This divergence is an opportunity for us to capture in my estimation.

I hope this makes sense and helps your own analysis

Good luck have fun

Much Love

xoxo

snoop
Beyond Technical AnalysisBitcoin (Cryptocurrency)correlationETFhashingTechnical IndicatorsRATEsemiconductorSMHSOXLSOXXTrend Analysis

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