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Spots are limited, so act fast. Let us journey together toward a sustainable future! [Click to register] On October 19, as expectations for stock volatility surged sharply, Bitcoin did not necessarily enter a state of tension in tandem. According to CPT Markets, a CoinDesk analysis on Sunday showed that although the VIX rose substantially last Friday, Bitcoin remained above $80,000 over the weekend, with its own volatility indicator not clearly breaking out of its recent range. This divergence suggests that different markets may price the same risk at different paces.
Historical statistics offer a reference point for this phenomenon, though CPT Markets believes it is still necessary to avoid treating sample patterns as promises. Reports tallied the previous thirty-two instances in which the VIX rose by 20% on a Friday, of which twenty-five fell back the following Monday. A relatively high frequency in the sample does not mean the current environment will necessarily repeat itself, and it certainly cannot be used to derive certain trading profits.
The VIX is derived from stock option prices and measures expected future volatility, not the next directional move in the stock market. Bitcoin, trading around the clock, can reflect some weekend information in advance, but its market participants, liquidity, and leverage structure differ from those of equities. Therefore, calm on one side is not enough to prove that risk on the other side has been lifted, and cross-market comparisons have inherent limitations. Historical statistics also do not cover all future scenarios; the limited sample size and differing backgrounds of each event can all change how applicable the results are.
Once traditional markets reopen, CPT Markets notes, one can observe whether stock options, Bitcoin volatility, and prices gradually converge. If the divergence persists, it may indicate that funds have adopted different arrangements for different assets. Rather than using a single indicator to predict the opening result, confirming the source of volatility changes and the degree to which they persist is more helpful for understanding market sentiment.
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