PYTH PYTH / IP 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 / IPSPK / USD
📈 Performance Metrics
Start Price 0.030.04
End Price 0.030.03
Price Change % +11.44%-33.30%
Period High 0.040.18
Period Low 0.010.03
Price Range % 293.8%553.7%
🏆 All-Time Records
All-Time High 0.040.18
Days Since ATH 185 days110 days
Distance From ATH % -30.7%-84.7%
All-Time Low 0.010.03
Distance From ATL % +173.0%+0.0%
New ATHs Hit 19 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.90%7.73%
Biggest Jump (1 Day) % +0.02+0.09
Biggest Drop (1 Day) % -0.01-0.07
Days Above Avg % 58.9%43.1%
Extreme Moves days 7 (2.9%)5 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 46.9%62.9%
Recent Momentum (10-day) % -3.15%-7.31%
📊 Statistical Measures
Average Price 0.030.06
Median Price 0.030.05
Price Std Deviation 0.010.03
🚀 Returns & Growth
CAGR % +17.51%-64.43%
Annualized Return % +17.51%-64.43%
Total Return % +11.44%-33.30%
⚠️ Risk & Volatility
Daily Volatility % 9.16%12.95%
Annualized Volatility % 175.03%247.44%
Max Drawdown % -74.60%-84.70%
Sharpe Ratio 0.0440.031
Sortino Ratio 0.0620.053
Calmar Ratio 0.235-0.761
Ulcer Index 37.4059.85
📅 Daily Performance
Win Rate % 46.9%36.6%
Positive Days 11552
Negative Days 13090
Best Day % +93.40%+97.07%
Worst Day % -33.73%-38.28%
Avg Gain (Up Days) % +5.96%+9.83%
Avg Loss (Down Days) % -4.52%-5.05%
Profit Factor 1.171.12
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 118
💹 Trading Metrics
Omega Ratio 1.1671.124
Expectancy % +0.40%+0.40%
Kelly Criterion % 1.48%0.80%
📅 Weekly Performance
Best Week % +48.24%+53.25%
Worst Week % -28.17%-27.36%
Weekly Win Rate % 51.4%34.8%
📆 Monthly Performance
Best Month % +22.34%+162.71%
Worst Month % -45.51%-36.62%
Monthly Win Rate % 50.0%28.6%
🔧 Technical Indicators
RSI (14-period) 50.1325.34
Price vs 50-Day MA % +23.85%-31.49%
Price vs 200-Day MA % +11.73%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): -0.472 (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
SPK: Kraken
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