PYTH PYTH / MOG Crypto vs INV INV / MOG Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / MOGINV / MOG
📈 Performance Metrics
Start Price 183,682.7012,978,235.97
End Price 244,621.0085,829,223.98
Price Change % +33.18%+561.33%
Period High 418,913.04105,398,550.72
Period Low 62,758.9810,580,645.16
Price Range % 567.5%896.1%
🏆 All-Time Records
All-Time High 418,913.04105,398,550.72
Days Since ATH 190 days188 days
Distance From ATH % -41.6%-18.6%
All-Time Low 62,758.9810,580,645.16
Distance From ATL % +289.8%+711.2%
New ATHs Hit 23 times39 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.96%6.91%
Biggest Jump (1 Day) % +123,936.39+19,737,631.18
Biggest Drop (1 Day) % -64,854.22-23,369,138.96
Days Above Avg % 42.7%44.4%
Extreme Moves days 9 (2.6%)22 (6.5%)
Stability Score % 100.0%100.0%
Trend Strength % 53.9%56.0%
Recent Momentum (10-day) % -1.43%-19.72%
📊 Statistical Measures
Average Price 192,022.7139,815,684.52
Median Price 178,489.0332,888,560.08
Price Std Deviation 80,060.0120,063,390.09
🚀 Returns & Growth
CAGR % +35.65%+655.37%
Annualized Return % +35.65%+655.37%
Total Return % +33.18%+561.33%
⚠️ Risk & Volatility
Daily Volatility % 8.57%9.17%
Annualized Volatility % 163.79%175.23%
Max Drawdown % -85.02%-84.74%
Sharpe Ratio 0.0460.106
Sortino Ratio 0.0560.110
Calmar Ratio 0.4197.734
Ulcer Index 49.6347.08
📅 Daily Performance
Win Rate % 53.9%56.0%
Positive Days 185191
Negative Days 158150
Best Day % +103.46%+35.39%
Worst Day % -25.51%-22.80%
Avg Gain (Up Days) % +5.03%+7.08%
Avg Loss (Down Days) % -5.03%-6.80%
Profit Factor 1.171.33
🔥 Streaks & Patterns
Longest Win Streak days 107
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.1701.325
Expectancy % +0.39%+0.97%
Kelly Criterion % 1.56%2.02%
📅 Weekly Performance
Best Week % +90.32%+46.07%
Worst Week % -41.67%-45.70%
Weekly Win Rate % 65.4%63.5%
📆 Monthly Performance
Best Month % +146.78%+86.18%
Worst Month % -47.36%-37.90%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 61.8164.89
Price vs 50-Day MA % +24.29%+41.10%
Price vs 200-Day MA % +44.68%+94.67%
💰 Volume Analysis
Avg Volume 1,937,445,146,4733,913,163,859
Total Volume 666,481,130,386,6591,338,302,039,905

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).

PYTH (PYTH) vs INV (INV): 0.701 (Strong 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
INV: Coinbase
ByBit Futures Trading Trade hundreds of crypto perpetual futures