PYTH PYTH / USD Crypto vs OBOL OBOL / 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 / USDOBOL / USD
📈 Performance Metrics
Start Price 0.420.27
End Price 0.090.07
Price Change % -78.78%-75.48%
Period High 0.530.32
Period Low 0.090.06
Price Range % 518.7%415.7%
🏆 All-Time Records
All-Time High 0.530.32
Days Since ATH 327 days168 days
Distance From ATH % -83.2%-79.0%
All-Time Low 0.090.06
Distance From ATL % +3.7%+8.3%
New ATHs Hit 10 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.42%6.06%
Biggest Jump (1 Day) % +0.11+0.05
Biggest Drop (1 Day) % -0.09-0.09
Days Above Avg % 29.9%34.5%
Extreme Moves days 7 (2.0%)10 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%54.3%
Recent Momentum (10-day) % -17.68%-23.18%
📊 Statistical Measures
Average Price 0.200.13
Median Price 0.150.12
Price Std Deviation 0.110.04
🚀 Returns & Growth
CAGR % -80.79%-94.85%
Annualized Return % -80.79%-94.85%
Total Return % -78.78%-75.48%
⚠️ Risk & Volatility
Daily Volatility % 7.99%8.23%
Annualized Volatility % 152.70%157.33%
Max Drawdown % -83.84%-80.61%
Sharpe Ratio -0.023-0.056
Sortino Ratio -0.029-0.057
Calmar Ratio -0.964-1.177
Ulcer Index 65.7461.19
📅 Daily Performance
Win Rate % 49.4%45.7%
Positive Days 16979
Negative Days 17394
Best Day % +99.34%+34.41%
Worst Day % -32.57%-28.30%
Avg Gain (Up Days) % +4.51%+5.74%
Avg Loss (Down Days) % -4.77%-5.68%
Profit Factor 0.920.85
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 0.9240.850
Expectancy % -0.18%-0.46%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+19.90%
Worst Week % -27.08%-48.04%
Weekly Win Rate % 50.9%44.4%
📆 Monthly Performance
Best Month % +65.32%+10.12%
Worst Month % -31.62%-55.06%
Monthly Win Rate % 38.5%28.6%
🔧 Technical Indicators
RSI (14-period) 47.9337.08
Price vs 50-Day MA % -36.58%-36.02%
Price vs 200-Day MA % -33.30%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 OBOL (OBOL): 0.400 (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
OBOL: Bybit