PYTH PYTH / XUSD Crypto vs SPK SPK / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / XUSDSPK / USD
📈 Performance Metrics
Start Price 0.160.04
End Price 0.090.03
Price Change % -42.37%-15.07%
Period High 0.230.18
Period Low 0.090.03
Price Range % 169.5%492.8%
🏆 All-Time Records
All-Time High 0.230.18
Days Since ATH 57 days93 days
Distance From ATH % -60.8%-80.5%
All-Time Low 0.090.03
Distance From ATL % +5.6%+15.5%
New ATHs Hit 6 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.84%8.05%
Biggest Jump (1 Day) % +0.11+0.09
Biggest Drop (1 Day) % -0.05-0.07
Days Above Avg % 45.9%39.4%
Extreme Moves days 4 (1.8%)5 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 51.6%63.5%
Recent Momentum (10-day) % -23.90%-10.34%
📊 Statistical Measures
Average Price 0.130.06
Median Price 0.130.05
Price Std Deviation 0.030.03
🚀 Returns & Growth
CAGR % -60.09%-37.69%
Annualized Return % -60.09%-37.69%
Total Return % -42.37%-15.07%
⚠️ Risk & Volatility
Daily Volatility % 9.05%13.71%
Annualized Volatility % 173.00%261.96%
Max Drawdown % -60.83%-83.13%
Sharpe Ratio 0.0080.046
Sortino Ratio 0.0120.081
Calmar Ratio -0.988-0.453
Ulcer Index 35.1156.08
📅 Daily Performance
Win Rate % 48.4%36.0%
Positive Days 10645
Negative Days 11380
Best Day % +99.34%+97.07%
Worst Day % -32.63%-38.28%
Avg Gain (Up Days) % +5.11%+11.04%
Avg Loss (Down Days) % -4.65%-5.22%
Profit Factor 1.031.19
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 68
💹 Trading Metrics
Omega Ratio 1.0321.190
Expectancy % +0.08%+0.63%
Kelly Criterion % 0.32%1.10%
📅 Weekly Performance
Best Week % +65.94%+53.25%
Worst Week % -20.40%-27.36%
Weekly Win Rate % 54.5%40.0%
📆 Monthly Performance
Best Month % +65.42%+162.71%
Worst Month % -21.92%-36.62%
Monthly Win Rate % 44.4%33.3%
🔧 Technical Indicators
RSI (14-period) 40.0549.89
Price vs 50-Day MA % -36.72%-31.76%
Price vs 200-Day MA % -32.26%N/A

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 SPK (SPK): 0.180 (Weak)

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
SPK: Kraken