Long-Term Indicators

Dynamic Pearson correlation between global money supply and BTC. Includes adaptive channel extremes for divergence detection.

Dynamic moving average with logarithmic decay multiplier from genesis. Upper band = cycle top zone, floor = cycle bottom zone. Adapts to diminishing returns over time.

BTC ratio against gold + oil basket with dynamic Fibonacci support/resistance levels. Identifies macro price zones from cross-asset flow analysis.

Real BTC mining cost of production from difficulty data, with 5 macro zone levels. Price below production cost historically marks generational bottoms.

4-MA system with proportional multipliers adapted for cycle detection. TOP signal when short crosses long upper; BOT signal when fast crosses long lower.

Multi-factor scoring model (0-100) tracking capital rotation phases. Identifies accumulation, BTC lead, altcoin rotation, euphoria, and capitulation phases.

Composite liquidity model normalized to 0-100 scale. Compares liquidity conditions to BTC normalized price for divergence signals.

Real Binance BTC open interest data. High OI ranges signal potential lows (overcrowded longs), low ranges signal potential highs (clean positioning).

Classic 4-MA system with halving markers. Dual crossover: upper pair detects cycle tops, lower pair detects cycle bottoms. Historically predicted every major cycle turn.

Real on-chain market cap vs realized cap. Values >75 = euphoria (sell zone), <0 = capitulation (buy zone). Uses CoinMetrics data.

Year-over-year growth of global money supply (21 countries in USD). Positive growth historically correlates with crypto bull markets.

Market value vs realized value with Z-Score normalization. Uses real on-chain data. Above 7 = cycle top, below 0.1 = cycle bottom.

Real daily mining revenue divided by 365-day MA. Uses blockchain.info data. Above 3 = miners over-earning (top), below 0.5 = miners under stress (bottom).

BTC price relative to cumulative miner revenue (thermocap). MA Oscillator mode reveals deviation from long-term equilibrium. Uses real blockchain data.

Risk-adjusted return metric using only downside deviation. Higher values = better risk-adjusted performance in current cycle phase.

Multi-exchange perpetual futures funding rate. Green zones signal high range (potential tops), red zones signal low range (potential bottoms).

Annualized risk-adjusted return metric. Measures excess return per unit of total volatility. Above 10.4 = extreme overperformance (sell zone), below -7.2 = extreme underperformance (buy zone).