PYTH PYTH / SPK Crypto vs CCD CCD / 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 / SPKCCD / SPK
📈 Performance Metrics
Start Price 2.300.09
End Price 2.760.53
Price Change % +20.02%+460.67%
Period High 3.891.07
Period Low 0.740.05
Price Range % 426.3%2,233.7%
🏆 All-Time Records
All-Time High 3.891.07
Days Since ATH 123 days31 days
Distance From ATH % -29.0%-50.6%
All-Time Low 0.740.05
Distance From ATL % +273.5%+1,053.0%
New ATHs Hit 16 times17 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.75%9.64%
Biggest Jump (1 Day) % +1.92+0.34
Biggest Drop (1 Day) % -1.37-0.28
Days Above Avg % 64.4%41.7%
Extreme Moves days 5 (3.4%)4 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 60.1%55.3%
Recent Momentum (10-day) % +3.17%-6.70%
📊 Statistical Measures
Average Price 2.480.31
Median Price 2.630.15
Price Std Deviation 0.750.28
🚀 Returns & Growth
CAGR % +56.83%+24,856.02%
Annualized Return % +56.83%+24,856.02%
Total Return % +20.02%+460.67%
⚠️ Risk & Volatility
Daily Volatility % 13.12%15.95%
Annualized Volatility % 250.63%304.82%
Max Drawdown % -81.00%-55.62%
Sharpe Ratio 0.0690.163
Sortino Ratio 0.0760.228
Calmar Ratio 0.702446.889
Ulcer Index 39.2831.65
📅 Daily Performance
Win Rate % 60.5%55.8%
Positive Days 8963
Negative Days 5850
Best Day % +103.53%+81.98%
Worst Day % -55.27%-26.40%
Avg Gain (Up Days) % +6.10%+11.52%
Avg Loss (Down Days) % -7.04%-8.58%
Profit Factor 1.331.69
🔥 Streaks & Patterns
Longest Win Streak days 810
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3301.691
Expectancy % +0.92%+2.62%
Kelly Criterion % 2.13%2.66%
📅 Weekly Performance
Best Week % +116.56%+150.52%
Worst Week % -39.18%-35.34%
Weekly Win Rate % 69.6%55.6%
📆 Monthly Performance
Best Month % +160.85%+365.85%
Worst Month % -55.73%-40.00%
Monthly Win Rate % 71.4%50.0%
🔧 Technical Indicators
RSI (14-period) 73.9940.16
Price vs 50-Day MA % -0.65%-9.61%

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 CCD (CCD): 0.496 (Moderate 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
CCD: Kraken
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