GLM GLM / PYTH Crypto vs OBOL OBOL / 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 GLM / PYTHOBOL / PYTH
📈 Performance Metrics
Start Price 0.802.01
End Price 1.920.84
Price Change % +140.70%-58.50%
Period High 2.402.01
Period Low 0.760.48
Price Range % 217.0%317.9%
🏆 All-Time Records
All-Time High 2.402.01
Days Since ATH 114 days161 days
Distance From ATH % -20.2%-58.5%
All-Time Low 0.760.48
Distance From ATL % +153.0%+73.5%
New ATHs Hit 21 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.30%6.58%
Biggest Jump (1 Day) % +0.67+0.46
Biggest Drop (1 Day) % -1.01-0.47
Days Above Avg % 53.6%45.7%
Extreme Moves days 9 (2.6%)8 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 50.9%53.4%
Recent Momentum (10-day) % +12.89%+5.75%
📊 Statistical Measures
Average Price 1.611.01
Median Price 1.710.98
Price Std Deviation 0.450.27
🚀 Returns & Growth
CAGR % +155.35%-86.38%
Annualized Return % +155.35%-86.38%
Total Return % +140.70%-58.50%
⚠️ Risk & Volatility
Daily Volatility % 5.92%9.58%
Annualized Volatility % 113.13%182.96%
Max Drawdown % -55.60%-76.07%
Sharpe Ratio 0.074-0.005
Sortino Ratio 0.080-0.005
Calmar Ratio 2.794-1.136
Ulcer Index 18.6951.47
📅 Daily Performance
Win Rate % 50.9%46.3%
Positive Days 17474
Negative Days 16886
Best Day % +55.28%+36.40%
Worst Day % -48.71%-49.15%
Avg Gain (Up Days) % +3.73%+6.71%
Avg Loss (Down Days) % -2.97%-5.86%
Profit Factor 1.300.98
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.3000.984
Expectancy % +0.44%-0.05%
Kelly Criterion % 3.95%0.00%
📅 Weekly Performance
Best Week % +45.58%+45.74%
Worst Week % -38.87%-39.88%
Weekly Win Rate % 48.1%36.0%
📆 Monthly Performance
Best Month % +41.38%+25.61%
Worst Month % -41.85%-48.82%
Monthly Win Rate % 84.6%42.9%
🔧 Technical Indicators
RSI (14-period) 78.4865.40
Price vs 50-Day MA % +28.16%+13.16%
Price vs 200-Day MA % +1.79%N/A
💰 Volume Analysis
Avg Volume 3,809,58942,033,203
Total Volume 1,306,689,0446,809,378,905

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).

GLM (GLM) vs OBOL (OBOL): 0.564 (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

GLM: Coinbase
OBOL: Bybit