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The Fractal Code of Bitcoin: What Entropy Reveals About Market Complexity

TL;DR for operators Bitcoin is not simply “more volatile” than traditional assets. That is the easy answer, and therefore the suspicious one. A recent paper compares Bitcoin, GBP/USD, gold, and natural gas using two complexity tools: Refined Composite Multiscale Sample Entropy (RCMSE) and Multifractal Detrended Fluctuation Analysis (MF-DFA).1 The result is more interesting than the usual crypto-volatility sermon. Bitcoin has the highest summed multiscale entropy complexity, at 74.66, and the widest multifractal spectrum, at 0.62. Natural gas, despite showing high volatility in the return distribution, has the lowest values on both measures: 51.48 for summed RCMSE complexity and 0.21 for spectrum width. ...

August 3, 2025 · 14 min · Zelina
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When Small Coins Roar: Rethinking Systemic Risk in Crypto Volatility Forecasting

TL;DR for operators Crypto risk systems often watch the obvious giants. Bitcoin first. Ethereum second. Everything else somewhere in the dashboard’s lower intestine, where altcoins go to become colourful noise. This paper argues that this is not enough.1 In volatility forecasting, the asset that matters is not always the asset with the largest market capitalisation. It may be the asset whose volatility is transmitting stress into Bitcoin under the current market state. That is a different question, and it produces a different monitoring system. ...

August 3, 2025 · 14 min · Zelina