Long-Term Indicators

Proprietary macro-to-crypto correlation engine with adaptive channel boundaries. Detects divergence between global monetary conditions and BTC price action.

Multi-layer dynamic band model that adapts to long-term market maturity. Upper and lower bands define macro cycle extremes with built-in diminishing return adjustment.

Cross-market relative valuation model with dynamic support and resistance zones. Identifies macro price levels from inter-asset capital flow patterns.

Network-derived fundamental price floor with 5 macro zone levels. Price entering the lower zone historically marks generational accumulation opportunities.

Proportional multi-line system tuned for cycle phase detection. Generates TOP and BOTTOM signals at key structural crossover points.

Multi-factor scoring system (0-100) tracking capital rotation across market phases. Identifies accumulation, trend, euphoria, and capitulation stages.

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

Derivatives market positioning analysis. Extreme ranges signal potential reversals based on crowd sentiment and leverage concentration patterns.

Dual-pair trend system with halving markers. Upper pair detects cycle tops, lower pair detects cycle bottoms. Historically identified every major market turning point.

On-chain sentiment oscillator tracking unrealized market state. Extreme readings identify euphoria zones (sell) and capitulation zones (buy).

Tracks global monetary expansion dynamics across major economies. Positive expansion phases historically correlate with crypto bull markets.

On-chain fair value model with statistical normalization. Measures how far current price deviates from network-implied fair value. Extreme readings mark cycle tops and bottoms.

Network revenue analysis relative to long-term average. Extreme high readings signal overheated conditions; extreme low readings signal distressed conditions.

Measures price relative to cumulative network security expenditure. Multiple display modes reveal deviation from long-term fundamental equilibrium.

Advanced risk-adjusted performance metric focused on downside risk. Higher values indicate stronger risk-adjusted returns in the current market phase.

Aggregated leverage sentiment across derivatives markets. Green zones signal overheated positioning, red zones signal depressed sentiment — both are potential reversal areas.

Risk-adjusted performance metric measuring return quality relative to volatility. Extreme positive values signal potential tops; extreme negative values signal potential bottoms.

Proprietary scarcity-based valuation model with rainbow gradient zones. Maps price against supply dynamics to identify overvaluation and undervaluation phases across market cycles.