PYTH PYTH / SPK Crypto vs VOXEL VOXEL / SPK Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / SPKVOXEL / SPK
📈 Performance Metrics
Start Price 2.301.20
End Price 2.481.04
Price Change % +7.96%-13.29%
Period High 3.891.78
Period Low 0.740.31
Price Range % 426.3%471.7%
🏆 All-Time Records
All-Time High 3.891.78
Days Since ATH 109 days115 days
Distance From ATH % -36.2%-41.3%
All-Time Low 0.740.31
Distance From ATL % +235.9%+235.4%
New ATHs Hit 16 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.16%5.40%
Biggest Jump (1 Day) % +1.92+0.23
Biggest Drop (1 Day) % -1.37-0.53
Days Above Avg % 65.2%47.4%
Extreme Moves days 5 (3.7%)8 (6.0%)
Stability Score % 0.0%0.0%
Trend Strength % 61.2%43.3%
Recent Momentum (10-day) % -6.26%-3.95%
📊 Statistical Measures
Average Price 2.470.99
Median Price 2.640.98
Price Std Deviation 0.780.30
🚀 Returns & Growth
CAGR % +23.19%-32.19%
Annualized Return % +23.19%-32.19%
Total Return % +7.96%-13.29%
⚠️ Risk & Volatility
Daily Volatility % 13.77%10.45%
Annualized Volatility % 262.99%199.55%
Max Drawdown % -81.00%-82.51%
Sharpe Ratio 0.0670.046
Sortino Ratio 0.0730.043
Calmar Ratio 0.286-0.390
Ulcer Index 39.7546.32
📅 Daily Performance
Win Rate % 61.2%56.7%
Positive Days 8276
Negative Days 5258
Best Day % +103.53%+57.90%
Worst Day % -55.27%-51.55%
Avg Gain (Up Days) % +6.39%+5.65%
Avg Loss (Down Days) % -7.70%-6.29%
Profit Factor 1.311.18
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 1.3091.177
Expectancy % +0.92%+0.48%
Kelly Criterion % 1.88%1.36%
📅 Weekly Performance
Best Week % +116.56%+33.57%
Worst Week % -39.18%-32.91%
Weekly Win Rate % 66.7%57.1%
📆 Monthly Performance
Best Month % +160.85%+57.78%
Worst Month % -55.73%-51.93%
Monthly Win Rate % 66.7%66.7%
🔧 Technical Indicators
RSI (14-period) 39.9159.72
Price vs 50-Day MA % -12.73%+2.35%

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

PYTH (PYTH) vs VOXEL (VOXEL): 0.842 (Strong positive)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

PYTH: Kraken
VOXEL: Coinbase
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