CPOOL CPOOL / PYTH 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 CPOOL / PYTHMSOL / USD
📈 Performance Metrics
Start Price 0.61290.25
End Price 0.55183.56
Price Change % -9.31%-36.76%
Period High 1.90326.81
Period Low 0.49134.15
Price Range % 286.5%143.6%
🏆 All-Time Records
All-Time High 1.90326.81
Days Since ATH 265 days284 days
Distance From ATH % -70.8%-43.8%
All-Time Low 0.49134.15
Distance From ATL % +12.9%+36.8%
New ATHs Hit 14 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.84%3.38%
Biggest Jump (1 Day) % +0.42+50.69
Biggest Drop (1 Day) % -0.78-56.19
Days Above Avg % 48.3%47.1%
Extreme Moves days 15 (4.4%)15 (4.4%)
Stability Score % 0.0%98.0%
Trend Strength % 51.9%49.3%
Recent Momentum (10-day) % -1.44%-14.36%
📊 Statistical Measures
Average Price 1.02230.62
Median Price 1.00227.42
Price Std Deviation 0.2446.83
🚀 Returns & Growth
CAGR % -9.88%-38.59%
Annualized Return % -9.88%-38.59%
Total Return % -9.31%-36.76%
⚠️ Risk & Volatility
Daily Volatility % 6.98%4.70%
Annualized Volatility % 133.34%89.71%
Max Drawdown % -72.13%-58.95%
Sharpe Ratio 0.033-0.005
Sortino Ratio 0.035-0.005
Calmar Ratio -0.137-0.655
Ulcer Index 42.7632.54
📅 Daily Performance
Win Rate % 48.1%50.4%
Positive Days 165172
Negative Days 178169
Best Day % +28.36%+23.88%
Worst Day % -51.45%-19.33%
Avg Gain (Up Days) % +5.27%+3.38%
Avg Loss (Down Days) % -4.44%-3.49%
Profit Factor 1.100.99
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.1010.987
Expectancy % +0.23%-0.02%
Kelly Criterion % 0.99%0.00%
📅 Weekly Performance
Best Week % +54.32%+39.54%
Worst Week % -46.05%-17.83%
Weekly Win Rate % 51.9%55.8%
📆 Monthly Performance
Best Month % +144.80%+24.05%
Worst Month % -27.97%-30.77%
Monthly Win Rate % 38.5%61.5%
🔧 Technical Indicators
RSI (14-period) 38.1640.04
Price vs 50-Day MA % -27.46%-29.88%
Price vs 200-Day MA % -46.26%-19.72%

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).

CPOOL (CPOOL) vs MSOL (MSOL): 0.050 (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

CPOOL: Kraken
MSOL: Kraken
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