PYTH PYTH / BBSOL Crypto vs JOE JOE / 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 / BBSOLJOE / USD
📈 Performance Metrics
Start Price 0.000.16
End Price 0.000.16
Price Change % -68.85%+0.50%
Period High 0.000.21
Period Low 0.000.14
Price Range % 326.1%53.4%
🏆 All-Time Records
All-Time High 0.000.21
Days Since ATH 311 days21 days
Distance From ATH % -71.1%-24.0%
All-Time Low 0.000.14
Distance From ATL % +23.2%+16.6%
New ATHs Hit 3 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.03%4.48%
Biggest Jump (1 Day) % +0.00+0.03
Biggest Drop (1 Day) % 0.00-0.02
Days Above Avg % 38.9%46.3%
Extreme Moves days 5 (1.5%)5 (5.3%)
Stability Score % 0.0%0.0%
Trend Strength % 56.3%50.0%
Recent Momentum (10-day) % -1.32%-5.84%
📊 Statistical Measures
Average Price 0.000.17
Median Price 0.000.16
Price Std Deviation 0.000.01
🚀 Returns & Growth
CAGR % -71.31%+1.96%
Annualized Return % -71.31%+1.96%
Total Return % -68.85%+0.50%
⚠️ Risk & Volatility
Daily Volatility % 6.21%5.75%
Annualized Volatility % 118.70%109.91%
Max Drawdown % -76.53%-27.80%
Sharpe Ratio -0.0310.030
Sortino Ratio -0.0490.029
Calmar Ratio -0.9320.070
Ulcer Index 55.6516.05
📅 Daily Performance
Win Rate % 43.7%51.6%
Positive Days 14947
Negative Days 19244
Best Day % +88.65%+18.10%
Worst Day % -16.15%-12.44%
Avg Gain (Up Days) % +3.26%+4.65%
Avg Loss (Down Days) % -2.86%-4.61%
Profit Factor 0.881.08
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 96
💹 Trading Metrics
Omega Ratio 0.8821.079
Expectancy % -0.19%+0.18%
Kelly Criterion % 0.00%0.82%
📅 Weekly Performance
Best Week % +54.45%+27.93%
Worst Week % -26.28%-14.02%
Weekly Win Rate % 31.4%50.0%
📆 Monthly Performance
Best Month % +33.49%+29.00%
Worst Month % -34.74%-5.69%
Monthly Win Rate % 16.7%25.0%
🔧 Technical Indicators
RSI (14-period) 43.0856.41
Price vs 50-Day MA % -3.81%-3.97%
Price vs 200-Day MA % -14.59%N/A

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 JOE (JOE): 0.180 (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
JOE: Kraken