PYTH PYTH / FORTH Crypto vs MSOL MSOL / 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 / FORTHMSOL / USD
📈 Performance Metrics
Start Price 0.11283.81
End Price 0.04194.44
Price Change % -61.27%-31.49%
Period High 0.11326.81
Period Low 0.04134.15
Price Range % 199.4%143.6%
🏆 All-Time Records
All-Time High 0.11326.81
Days Since ATH 343 days298 days
Distance From ATH % -61.3%-40.5%
All-Time Low 0.04134.15
Distance From ATL % +15.9%+44.9%
New ATHs Hit 0 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.10%3.42%
Biggest Jump (1 Day) % +0.04+50.69
Biggest Drop (1 Day) % -0.02-56.19
Days Above Avg % 47.7%46.8%
Extreme Moves days 9 (2.6%)16 (4.7%)
Stability Score % 0.0%97.9%
Trend Strength % 53.9%49.0%
Recent Momentum (10-day) % +1.56%+3.65%
📊 Statistical Measures
Average Price 0.06225.91
Median Price 0.05222.60
Price Std Deviation 0.0145.51
🚀 Returns & Growth
CAGR % -63.56%-33.13%
Annualized Return % -63.56%-33.13%
Total Return % -61.27%-31.49%
⚠️ Risk & Volatility
Daily Volatility % 8.03%4.72%
Annualized Volatility % 153.32%90.15%
Max Drawdown % -66.60%-58.95%
Sharpe Ratio 0.0000.000
Sortino Ratio 0.0000.000
Calmar Ratio -0.954-0.562
Ulcer Index 50.8033.35
📅 Daily Performance
Win Rate % 45.9%50.7%
Positive Days 157173
Negative Days 185168
Best Day % +101.56%+23.88%
Worst Day % -35.54%-19.33%
Avg Gain (Up Days) % +4.48%+3.42%
Avg Loss (Down Days) % -3.80%-3.52%
Profit Factor 1.001.00
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.9991.001
Expectancy % 0.00%+0.00%
Kelly Criterion % 0.00%0.01%
📅 Weekly Performance
Best Week % +67.10%+39.54%
Worst Week % -33.96%-17.83%
Weekly Win Rate % 46.2%53.8%
📆 Monthly Performance
Best Month % +45.57%+24.05%
Worst Month % -35.59%-30.77%
Monthly Win Rate % 23.1%61.5%
🔧 Technical Indicators
RSI (14-period) 53.8258.06
Price vs 50-Day MA % -13.46%-13.99%
Price vs 200-Day MA % -14.47%-15.07%

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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