When Bitcoin volatility spikes or fades, every crypto trader knows that correlations shift. But what if we could see how those shifts reshape the structure of the entire market? In this piece, we go beyond realized vol and skew charts. We use network theory to map how the crypto ecosystem

Introduction: A New Lens on BTC Market Dynamics Crypto markets often oscillate between chaos and calm, drift and disruption. Traders instinctively sense these shifts, but what if we could mathematically map them? At CryptoSAZZ, we've developed a 3D analytical framework that classifies the BTC market into distinct zones

Markets don’t wait for war to start. They react to the probability of escalation. This chart shows Bitcoin’s price behavior in 2025, overlaid with our proprietary FRD signal — which captures when BTC begins deviating from macro fundamentals. 🟩 Green = Bullish Regime 🟥 Red = Bearish Regime While headlines focus on the

An often overlooked aspect of timing cycles, and seasonality, is does time itself have a geometry of its own. That is, cycles are based on patterns that repeat themselves at specific intervals, for example, a 4-year cycle, 90-day cycle etc, lunar cycles, or seasonal patterns that often are seen in

In May 2025, President Donald Trump, now in his second term, is reshaping the U.S. economic and regulatory landscape with sweeping changes. His administration has significantly curtailed enforcement of various federal regulations, adopting an unprecedented approach of not enforcing rules the president opposes. Key agencies, including the Transportation Department,

“Markets are fractal, not linear. But if you can quantify the edge buried in that complexity, you're no longer guessing—you’re listening.” Introduction: Complexity Beneath the Candles In crypto markets, volatility is constant—but predictability is rare. Every candle can be a head fake, and conventional indicators

Introduction Bitcoin is volatile. But volatility without structure is chaos, and chaos doesn't help us trade. At CryptoSazz, we believe that repeatable edge lies in hidden structures—time-based, flow-based, and behavior-based. One structure we've been researching is how Bitcoin behaves across fixed 5-day segments within each