PYTH PYTH / USD Crypto vs MSOL MSOL / USD Crypto

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

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Asset PYTH / USDMSOL / USD
📈 Performance Metrics
Start Price 0.49267.15
End Price 0.06171.62
Price Change % -88.02%-35.76%
Period High 0.49326.81
Period Low 0.06134.15
Price Range % 734.7%143.6%
🏆 All-Time Records
All-Time High 0.49326.81
Days Since ATH 343 days310 days
Distance From ATH % -88.0%-47.5%
All-Time Low 0.06134.15
Distance From ATL % +0.0%+27.9%
New ATHs Hit 0 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.61%3.43%
Biggest Jump (1 Day) % +0.11+50.69
Biggest Drop (1 Day) % -0.06-56.19
Days Above Avg % 30.5%47.4%
Extreme Moves days 6 (1.7%)16 (4.7%)
Stability Score % 0.0%97.9%
Trend Strength % 53.4%49.3%
Recent Momentum (10-day) % -10.63%-2.85%
📊 Statistical Measures
Average Price 0.17222.24
Median Price 0.14216.32
Price Std Deviation 0.0845.00
🚀 Returns & Growth
CAGR % -89.54%-37.56%
Annualized Return % -89.54%-37.56%
Total Return % -88.02%-35.76%
⚠️ Risk & Volatility
Daily Volatility % 7.94%4.71%
Annualized Volatility % 151.65%89.91%
Max Drawdown % -88.02%-58.95%
Sharpe Ratio -0.045-0.004
Sortino Ratio -0.057-0.004
Calmar Ratio -1.017-0.637
Ulcer Index 68.4434.18
📅 Daily Performance
Win Rate % 46.5%50.6%
Positive Days 159173
Negative Days 183169
Best Day % +99.34%+23.88%
Worst Day % -32.57%-19.33%
Avg Gain (Up Days) % +4.62%+3.39%
Avg Loss (Down Days) % -4.67%-3.51%
Profit Factor 0.860.99
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 0.8580.990
Expectancy % -0.35%-0.02%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+39.54%
Worst Week % -27.08%-17.83%
Weekly Win Rate % 46.2%51.9%
📆 Monthly Performance
Best Month % +65.32%+24.05%
Worst Month % -32.91%-30.77%
Monthly Win Rate % 30.8%61.5%
🔧 Technical Indicators
RSI (14-period) 28.2338.06
Price vs 50-Day MA % -32.75%-14.19%
Price vs 200-Day MA % -51.70%-24.75%

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 MSOL (MSOL): 0.470 (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
MSOL: Kraken
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