PYTH PYTH / MOG Crypto vs APEX APEX / 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 / MOGAPEX / MOG
📈 Performance Metrics
Start Price 188,987.41769,736.84
End Price 248,435.002,368,974.18
Price Change % +31.46%+207.76%
Period High 418,913.043,190,257.63
Period Low 62,758.98104,484.66
Price Range % 567.5%2,953.3%
🏆 All-Time Records
All-Time High 418,913.043,190,257.63
Days Since ATH 189 days14 days
Distance From ATH % -40.7%-25.7%
All-Time Low 62,758.98104,484.66
Distance From ATL % +295.9%+2,167.3%
New ATHs Hit 22 times23 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.96%7.67%
Biggest Jump (1 Day) % +123,936.39+1,681,371.28
Biggest Drop (1 Day) % -64,854.22-722,993.98
Days Above Avg % 42.7%37.2%
Extreme Moves days 9 (2.6%)3 (0.9%)
Stability Score % 100.0%100.0%
Trend Strength % 53.9%50.1%
Recent Momentum (10-day) % -5.30%+21.49%
📊 Statistical Measures
Average Price 191,874.73902,132.50
Median Price 178,489.03705,685.18
Price Std Deviation 80,019.09704,674.43
🚀 Returns & Growth
CAGR % +33.78%+230.77%
Annualized Return % +33.78%+230.77%
Total Return % +31.46%+207.76%
⚠️ Risk & Volatility
Daily Volatility % 8.57%14.40%
Annualized Volatility % 163.81%275.04%
Max Drawdown % -85.02%-95.91%
Sharpe Ratio 0.0460.072
Sortino Ratio 0.0560.120
Calmar Ratio 0.3972.406
Ulcer Index 49.5860.39
📅 Daily Performance
Win Rate % 53.9%50.1%
Positive Days 185172
Negative Days 158171
Best Day % +103.46%+196.68%
Worst Day % -25.51%-28.45%
Avg Gain (Up Days) % +5.03%+8.59%
Avg Loss (Down Days) % -5.04%-6.56%
Profit Factor 1.171.32
🔥 Streaks & Patterns
Longest Win Streak days 1011
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.1681.318
Expectancy % +0.39%+1.04%
Kelly Criterion % 1.54%1.84%
📅 Weekly Performance
Best Week % +90.32%+824.71%
Worst Week % -41.67%-56.38%
Weekly Win Rate % 62.3%54.7%
📆 Monthly Performance
Best Month % +146.78%+701.95%
Worst Month % -47.36%-79.06%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 58.8644.64
Price vs 50-Day MA % +27.87%+123.78%
Price vs 200-Day MA % +46.60%+218.60%
💰 Volume Analysis
Avg Volume 1,906,432,947,55327,738,230,987,675
Total Volume 655,812,933,958,0909,541,951,459,760,206

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 APEX (APEX): 0.825 (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
APEX: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures