PYTH PYTH / SPK Crypto vs C C / 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 / SPKC / USD
📈 Performance Metrics
Start Price 2.300.31
End Price 2.630.10
Price Change % +14.08%-66.40%
Period High 3.890.42
Period Low 0.740.09
Price Range % 426.3%375.4%
🏆 All-Time Records
All-Time High 3.890.42
Days Since ATH 96 days88 days
Distance From ATH % -32.6%-75.0%
All-Time Low 0.740.09
Distance From ATL % +255.0%+19.1%
New ATHs Hit 16 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.62%6.58%
Biggest Jump (1 Day) % +1.92+0.10
Biggest Drop (1 Day) % -1.37-0.08
Days Above Avg % 61.5%48.9%
Extreme Moves days 4 (3.3%)3 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 62.8%50.5%
Recent Momentum (10-day) % -7.84%-43.98%
📊 Statistical Measures
Average Price 2.450.23
Median Price 2.650.23
Price Std Deviation 0.820.07
🚀 Returns & Growth
CAGR % +48.80%-98.62%
Annualized Return % +48.80%-98.62%
Total Return % +14.08%-66.40%
⚠️ Risk & Volatility
Daily Volatility % 14.45%8.59%
Annualized Volatility % 276.12%164.09%
Max Drawdown % -81.00%-78.97%
Sharpe Ratio 0.074-0.091
Sortino Ratio 0.079-0.083
Calmar Ratio 0.602-1.249
Ulcer Index 40.4547.75
📅 Daily Performance
Win Rate % 62.8%48.9%
Positive Days 7645
Negative Days 4547
Best Day % +103.53%+31.72%
Worst Day % -55.27%-36.67%
Avg Gain (Up Days) % +6.75%+5.63%
Avg Loss (Down Days) % -8.54%-6.93%
Profit Factor 1.340.78
🔥 Streaks & Patterns
Longest Win Streak days 84
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 1.3350.778
Expectancy % +1.06%-0.79%
Kelly Criterion % 1.85%0.00%
📅 Weekly Performance
Best Week % +116.56%+26.03%
Worst Week % -39.18%-24.58%
Weekly Win Rate % 65.0%31.3%
📆 Monthly Performance
Best Month % +160.85%+-2.76%
Worst Month % -55.73%-16.19%
Monthly Win Rate % 66.7%0.0%
🔧 Technical Indicators
RSI (14-period) 35.7631.45
Price vs 50-Day MA % -8.25%-45.96%

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 C (C): -0.535 (Moderate negative)

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
C: Binance