CPOOL CPOOL / PYTH Crypto vs GSWIFT GSWIFT / PYTH 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 CPOOL / PYTHGSWIFT / PYTH
📈 Performance Metrics
Start Price 0.590.15
End Price 0.530.02
Price Change % -10.57%-84.62%
Period High 1.900.32
Period Low 0.490.02
Price Range % 286.5%1,329.3%
🏆 All-Time Records
All-Time High 1.900.32
Days Since ATH 249 days306 days
Distance From ATH % -72.3%-93.0%
All-Time Low 0.490.02
Distance From ATL % +7.0%+0.0%
New ATHs Hit 18 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.90%5.55%
Biggest Jump (1 Day) % +0.42+0.08
Biggest Drop (1 Day) % -0.78-0.03
Days Above Avg % 48.3%34.6%
Extreme Moves days 16 (4.7%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 51.9%55.4%
Recent Momentum (10-day) % -15.39%-15.12%
📊 Statistical Measures
Average Price 1.020.11
Median Price 1.000.09
Price Std Deviation 0.240.07
🚀 Returns & Growth
CAGR % -11.21%-86.36%
Annualized Return % -11.21%-86.36%
Total Return % -10.57%-84.62%
⚠️ Risk & Volatility
Daily Volatility % 7.09%7.92%
Annualized Volatility % 135.49%151.39%
Max Drawdown % -72.33%-93.00%
Sharpe Ratio 0.033-0.028
Sortino Ratio 0.035-0.030
Calmar Ratio -0.155-0.929
Ulcer Index 40.2567.06
📅 Daily Performance
Win Rate % 48.1%44.6%
Positive Days 165153
Negative Days 178190
Best Day % +28.36%+36.55%
Worst Day % -51.45%-48.99%
Avg Gain (Up Days) % +5.37%+5.79%
Avg Loss (Down Days) % -4.53%-5.07%
Profit Factor 1.100.92
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1000.921
Expectancy % +0.24%-0.22%
Kelly Criterion % 0.97%0.00%
📅 Weekly Performance
Best Week % +54.32%+49.37%
Worst Week % -46.05%-39.41%
Weekly Win Rate % 51.9%32.7%
📆 Monthly Performance
Best Month % +144.80%+65.22%
Worst Month % -27.97%-48.62%
Monthly Win Rate % 38.5%23.1%
🔧 Technical Indicators
RSI (14-period) 15.8621.78
Price vs 50-Day MA % -41.36%-35.72%
Price vs 200-Day MA % -50.31%-66.75%
💰 Volume Analysis
Avg Volume 10,469,56163,458,313
Total Volume 3,601,529,12621,829,659,635

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 GSWIFT (GSWIFT): 0.031 (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
GSWIFT: Bybit