Bitcoin Wyckoff Cycle — 8-Phase Probability Analysis
Analyzing bitcoin cycle phases…
Detecting current market structure…
This dashboard applies the Wyckoff Method — a century-old institutional market analysis framework — to real-time Bitcoin price data. By cross-referencing EMA alignment, MACD momentum, the Fear & Greed Index, and live order book liquidity, the engine computes probability scores for each of the 8 canonical Wyckoff phases in the BTC market cycle.
The Wyckoff cycle describes how institutional "Smart Money" accumulates BTC during downturns and distributes during euphoria. Identifying which phase Bitcoin is in — from Accumulation to Markup to Distribution to Markdown — is the foundation of reliable bitcoin cycle prediction.
No single signal predicts bitcoin market cycles reliably. This engine combines EMA 20/50/200 trend alignment, MACD histogram momentum, sentiment via Fear & Greed, and real-time bid/ask pressure into a weighted probability model across all 8 Wyckoff phases.
Institutional traders, crypto analysts, and seasoned HODLers use Wyckoff methodology to time entries during Spring and Accumulation phases, and to scale out ahead of Distribution. This tool makes that analysis accessible and real-time, updated every 60 seconds from Binance market data.