GLM GLM / PYTH Crypto vs JEFF JEFF / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset GLM / PYTHJEFF / PYTH

📈 Performance Metrics

Start Price 0.800.03

End Price 1.920.01

Price Change % +140.70%-48.30%

Period High 2.400.05

Period Low 0.760.01

Price Range % 217.0%651.6%

🏆 All-Time Records

All-Time High 2.400.05

Days Since ATH 114 days192 days

Distance From ATH % -20.2%-71.6%

All-Time Low 0.760.01

Distance From ATL % +153.0%+113.1%

New ATHs Hit 21 times9 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.30%6.22%

Biggest Jump (1 Day) % +0.67+0.02

Biggest Drop (1 Day) % -1.01-0.01

Days Above Avg % 53.6%42.4%

Extreme Moves days 9 (2.6%)12 (3.5%)

Stability Score % 0.0%0.0%

Trend Strength % 50.9%50.1%

Recent Momentum (10-day) % +12.89%+16.20%

📊 Statistical Measures

Average Price 1.610.02

Median Price 1.710.02

Price Std Deviation 0.450.01

🚀 Returns & Growth

CAGR % +155.35%-50.44%

Annualized Return % +155.35%-50.44%

Total Return % +140.70%-48.30%

⚠️ Risk & Volatility

Daily Volatility % 5.92%9.89%

Annualized Volatility % 113.13%188.95%

Max Drawdown % -55.60%-86.70%

Sharpe Ratio 0.0740.027

Sortino Ratio 0.0800.031

Calmar Ratio 2.794-0.582

Ulcer Index 18.6953.50

📅 Daily Performance

Win Rate % 50.9%49.7%

Positive Days 174170

Negative Days 168172

Best Day % +55.28%+89.82%

Worst Day % -48.71%-50.04%

Avg Gain (Up Days) % +3.73%+6.62%

Avg Loss (Down Days) % -2.97%-6.01%

Profit Factor 1.301.09

🔥 Streaks & Patterns

Longest Win Streak days 87

Longest Loss Streak days 57

💹 Trading Metrics

Omega Ratio 1.3001.089

Expectancy % +0.44%+0.27%

Kelly Criterion % 3.95%0.68%

📅 Weekly Performance

Best Week % +45.58%+62.01%

Worst Week % -38.87%-41.16%

Weekly Win Rate % 48.1%40.4%

📆 Monthly Performance

Best Month % +41.38%+68.02%

Worst Month % -41.85%-57.59%

Monthly Win Rate % 84.6%38.5%

🔧 Technical Indicators

RSI (14-period) 78.4863.05

Price vs 50-Day MA % +28.16%+23.48%

Price vs 200-Day MA % +1.79%-28.78%

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 JEFF (JEFF):	0.121 (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

GLM: Coinbase
JEFF: Bybit