PYTH PYTH / EIGEN Crypto vs KSM KSM / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / EIGENKSM / USD
📈 Performance Metrics
Start Price 0.1820.00
End Price 0.139.76
Price Change % -30.20%-51.20%
Period High 0.1851.95
Period Low 0.089.15
Price Range % 138.0%467.8%
🏆 All-Time Records
All-Time High 0.1851.95
Days Since ATH 343 days340 days
Distance From ATH % -30.2%-81.2%
All-Time Low 0.089.15
Distance From ATL % +66.2%+6.7%
New ATHs Hit 0 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.01%4.55%
Biggest Jump (1 Day) % +0.09+28.50
Biggest Drop (1 Day) % -0.04-11.08
Days Above Avg % 45.1%28.2%
Extreme Moves days 9 (2.6%)6 (1.7%)
Stability Score % 0.0%56.1%
Trend Strength % 50.4%50.7%
Recent Momentum (10-day) % +4.92%-5.44%
📊 Statistical Measures
Average Price 0.1119.59
Median Price 0.1116.07
Price Std Deviation 0.038.43
🚀 Returns & Growth
CAGR % -31.79%-53.39%
Annualized Return % -31.79%-53.39%
Total Return % -30.20%-51.20%
⚠️ Risk & Volatility
Daily Volatility % 7.55%8.61%
Annualized Volatility % 144.31%164.44%
Max Drawdown % -57.99%-82.39%
Sharpe Ratio 0.0180.009
Sortino Ratio 0.0240.013
Calmar Ratio -0.548-0.648
Ulcer Index 40.7864.13
📅 Daily Performance
Win Rate % 49.4%48.8%
Positive Days 169166
Negative Days 173174
Best Day % +91.66%+121.54%
Worst Day % -23.61%-33.38%
Avg Gain (Up Days) % +4.24%+4.49%
Avg Loss (Down Days) % -3.88%-4.14%
Profit Factor 1.071.04
🔥 Streaks & Patterns
Longest Win Streak days 610
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.0691.036
Expectancy % +0.13%+0.08%
Kelly Criterion % 0.82%0.41%
📅 Weekly Performance
Best Week % +69.33%+104.35%
Worst Week % -25.75%-21.22%
Weekly Win Rate % 51.9%55.8%
📆 Monthly Performance
Best Month % +52.86%+106.05%
Worst Month % -41.70%-23.29%
Monthly Win Rate % 53.8%30.8%
🔧 Technical Indicators
RSI (14-period) 55.0153.54
Price vs 50-Day MA % +19.84%-26.51%
Price vs 200-Day MA % +18.46%-34.61%

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 KSM (KSM): -0.052 (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
KSM: Kraken