PYTH PYTH / COMP Crypto vs SPK SPK / COMP 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 / COMPSPK / COMP
📈 Performance Metrics
Start Price 0.010.00
End Price 0.000.00
Price Change % -66.05%-2.75%
Period High 0.010.00
Period Low 0.000.00
Price Range % 219.2%439.5%
🏆 All-Time Records
All-Time High 0.010.00
Days Since ATH 343 days111 days
Distance From ATH % -66.1%-77.0%
All-Time Low 0.000.00
Distance From ATL % +8.4%+24.1%
New ATHs Hit 0 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.25%6.91%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 56.1%42.8%
Extreme Moves days 5 (1.5%)4 (2.8%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%59.0%
Recent Momentum (10-day) % -13.53%-10.00%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -68.32%-6.82%
Annualized Return % -68.32%-6.82%
Total Return % -66.05%-2.75%
⚠️ Risk & Volatility
Daily Volatility % 6.76%13.03%
Annualized Volatility % 129.09%248.91%
Max Drawdown % -68.67%-77.42%
Sharpe Ratio -0.0200.048
Sortino Ratio -0.0290.091
Calmar Ratio -0.995-0.088
Ulcer Index 45.9854.29
📅 Daily Performance
Win Rate % 46.9%41.0%
Positive Days 16159
Negative Days 18285
Best Day % +95.81%+106.85%
Worst Day % -28.50%-35.10%
Avg Gain (Up Days) % +3.30%+8.50%
Avg Loss (Down Days) % -3.17%-4.84%
Profit Factor 0.921.22
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.9201.220
Expectancy % -0.13%+0.63%
Kelly Criterion % 0.00%1.53%
📅 Weekly Performance
Best Week % +66.91%+60.75%
Worst Week % -28.11%-22.92%
Weekly Win Rate % 51.9%34.8%
📆 Monthly Performance
Best Month % +71.08%+142.05%
Worst Month % -31.93%-34.41%
Monthly Win Rate % 46.2%42.9%
🔧 Technical Indicators
RSI (14-period) 26.9830.78
Price vs 50-Day MA % -32.16%-25.18%
Price vs 200-Day MA % -30.67%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): 0.088 (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
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