PYTH PYTH / GMT Crypto vs IMX IMX / USD 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 PYTH / GMTIMX / USD
📈 Performance Metrics
Start Price 2.112.07
End Price 4.210.30
Price Change % +99.77%-85.51%
Period High 5.212.13
Period Low 1.710.28
Price Range % 205.3%650.5%
🏆 All-Time Records
All-Time High 5.212.13
Days Since ATH 76 days342 days
Distance From ATH % -19.2%-85.9%
All-Time Low 1.710.28
Distance From ATL % +146.5%+5.8%
New ATHs Hit 19 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.86%4.54%
Biggest Jump (1 Day) % +2.35+0.15
Biggest Drop (1 Day) % -0.65-0.34
Days Above Avg % 36.0%29.7%
Extreme Moves days 9 (2.6%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%54.2%
Recent Momentum (10-day) % +4.11%-9.91%
📊 Statistical Measures
Average Price 2.990.71
Median Price 2.830.58
Price Std Deviation 0.680.37
🚀 Returns & Growth
CAGR % +108.84%-87.20%
Annualized Return % +108.84%-87.20%
Total Return % +99.77%-85.51%
⚠️ Risk & Volatility
Daily Volatility % 6.17%5.88%
Annualized Volatility % 117.80%112.29%
Max Drawdown % -41.72%-86.68%
Sharpe Ratio 0.058-0.066
Sortino Ratio 0.082-0.066
Calmar Ratio 2.609-1.006
Ulcer Index 22.7568.89
📅 Daily Performance
Win Rate % 53.1%45.6%
Positive Days 182156
Negative Days 161186
Best Day % +84.27%+20.43%
Worst Day % -27.67%-27.41%
Avg Gain (Up Days) % +3.08%+4.50%
Avg Loss (Down Days) % -2.72%-4.49%
Profit Factor 1.280.84
🔥 Streaks & Patterns
Longest Win Streak days 117
Longest Loss Streak days 712
💹 Trading Metrics
Omega Ratio 1.2810.841
Expectancy % +0.36%-0.39%
Kelly Criterion % 4.28%0.00%
📅 Weekly Performance
Best Week % +54.42%+32.40%
Worst Week % -18.90%-27.46%
Weekly Win Rate % 65.4%48.1%
📆 Monthly Performance
Best Month % +70.19%+38.20%
Worst Month % -13.67%-40.89%
Monthly Win Rate % 53.8%46.2%
🔧 Technical Indicators
RSI (14-period) 60.5545.43
Price vs 50-Day MA % +1.93%-37.43%
Price vs 200-Day MA % +34.76%-44.40%
💰 Volume Analysis
Avg Volume 42,610,712347,516
Total Volume 14,658,084,936119,545,369

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 IMX (IMX): -0.319 (Moderate negative)

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
IMX: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures