πŸ“Š Bitcoin Comprehensive Analysis Hub

Statistical Significance, Factor Analysis, Power Law Valuation & Walk-Forward Validation

Current Price
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Power Law Valuation
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Halving Phase
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Triple SMA Signal
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Regime
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🎯 Core Analysis Dashboards

πŸ“ˆ
Factor Analysis Report
Comprehensive factor importance analysis with ANOVA significance testing. Shows why halving cycle phase dominates power law valuation, especially during distribution phases.
ANOVA Statistical Significance Regime-Dependent Factor Hierarchy
View Full Report β†’
πŸ“‹
Executive Summary
Concise summary of key findings, current market assessment, and actionable recommendations based on regime analysis framework.
Summary Recommendations
View Summary β†’
πŸ“Š
Triple SMA Strategy
Walk-forward validated momentum strategy using 45d, 120d, and 320d moving averages. Designed to adapt to regime changes and avoid overfitting.
Walk-Forward Momentum Regime Adaptive
View Strategy β†’
🎨
Advanced Dashboard
Interactive unified dashboard with halving cycles, M2 overlay, Hyperliquid liquidations, and AI-powered analysis.
Interactive Real-time AI Analysis
View Dashboard β†’

πŸ’‘ Key Insights

⚠️
Power Law Limitation
Power Law shows 35% undervaluation, BUT during distribution phases (like now), it fails as a timing signal. ANOVA tests show phase dominates (p < 0.001).
Critical Finding Regime-Dependent
🎯
Hierarchy Framework
Level 1: Halving Phase (regime filter). Level 2: Power Law (valuation in favorable regimes). Level 3: M2/Macro (confirmation). This hierarchy avoids spurious correlations.
Framework Spurious Correction
πŸ”„
Walk-Forward Validation
Triple SMA strategy uses expanding windows and adaptive thresholds to prevent overfitting. Parameters validated on out-of-sample data across multiple regimes.
Robust No Overfitting
πŸ“‰
Lead/Lag Relationships
M2 money supply leads Bitcoin by 6-12 months. Halving effect has 12-18 month lag. Alt season follows Bitcoin bull runs with 3-6 month lag.
Timing Causality

πŸ“š Academic Research Papers

Study 1A: Alt Season Analysis
BTC, ETH, Alt dominance cycles
View PDF β†’
Study 1B: Hypothesis Tests
Statistical significance testing
View PDF β†’
Study 1C: Deeper Cycle Analysis
Halving cycle deep dive
View PDF β†’
Study 1D: Dominance Deep Dive
Bitcoin dominance patterns
View PDF β†’
Study 1E: Mediation Analysis
Factor interaction effects
View PDF β†’
Study 1F: Alt Season Deep Dive
Comprehensive alt season study
View PDF β†’
Study 1G: Density Analysis
Distribution density study
View PDF β†’
Study 1H: Bin Analysis
Binning strategy comparison
View PDF β†’
Study 1I: Factor Importance
Relative factor weights
View PDF β†’
Study 2: Precious Metals
Gold/silver correlation study
View PDF β†’

πŸ”¬ Methodology & Validation

βœ…
Statistical Rigor
All findings validated with ANOVA, permutation tests, and Monte Carlo simulations. P-values reported. No p-hacking or multiple comparison issues.
ANOVA Permutation Tests Monte Carlo
🚫
Spurious Correlation Control
Explicit regime framework prevents spurious correlations. Interactions tested, not just correlations. Conditional relationships documented.
Regime-Aware Interaction Tests
🎲
Out-of-Sample Testing
Walk-forward analysis with expanding windows. Parameters not optimized on full dataset. Regime switches tested on holdout periods.
Walk-Forward Expanding Windows
⏱️
Real-Time Data
Database updated every 2 minutes with 1-minute price data. Dashboard regenerates every 5 minutes. No hindsight bias in live signals.
Live Data Automated