APEX APEX / MOG Crypto vs PYTH PYTH / MOG Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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🤖 AI Analysis

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Asset APEX / MOGPYTH / MOG

📈 Performance Metrics

Start Price 691,586.26191,945.19

End Price 2,338,626.16260,476.35

Price Change % +238.15%+35.70%

Period High 3,190,257.63418,913.04

Period Low 104,484.6662,758.98

Price Range % 2,953.3%567.5%

🏆 All-Time Records

All-Time High 3,190,257.63418,913.04

Days Since ATH 41 days216 days

Distance From ATH % -26.7%-37.8%

All-Time Low 104,484.6662,758.98

Distance From ATL % +2,138.2%+315.0%

New ATHs Hit 25 times20 times

📌 Easy-to-Understand Stats

Avg Daily Change % 7.42%4.86%

Biggest Jump (1 Day) % +1,681,371.28+123,936.39

Biggest Drop (1 Day) % -722,993.98-64,854.22

Days Above Avg % 42.7%45.9%

Extreme Moves days 3 (0.9%)8 (2.3%)

Stability Score % 100.0%100.0%

Trend Strength % 50.7%54.5%

Recent Momentum (10-day) % +15.47%+5.68%

📊 Statistical Measures

Average Price 1,027,009.33198,082.81

Median Price 729,816.89188,009.85

Price Std Deviation 802,744.1282,047.41

🚀 Returns & Growth

CAGR % +265.64%+38.39%

Annualized Return % +265.64%+38.39%

Total Return % +238.15%+35.70%

⚠️ Risk & Volatility

Daily Volatility % 14.34%8.46%

Annualized Volatility % 273.96%161.71%

Max Drawdown % -95.91%-85.02%

Sharpe Ratio 0.0740.046

Sortino Ratio 0.1240.057

Calmar Ratio 2.7700.452

Ulcer Index 60.2250.32

📅 Daily Performance

Win Rate % 50.7%54.7%

Positive Days 174187

Negative Days 169155

Best Day % +196.68%+103.46%

Worst Day % -28.45%-21.43%

Avg Gain (Up Days) % +8.43%+4.88%

Avg Loss (Down Days) % -6.53%-5.02%

Profit Factor 1.331.17

🔥 Streaks & Patterns

Longest Win Streak days 1110

Longest Loss Streak days 76

💹 Trading Metrics

Omega Ratio 1.3281.171

Expectancy % +1.06%+0.39%

Kelly Criterion % 1.92%1.59%

📅 Weekly Performance

Best Week % +824.71%+90.32%

Worst Week % -56.38%-41.67%

Weekly Win Rate % 61.5%65.4%

📆 Monthly Performance

Best Month % +701.95%+146.78%

Worst Month % -79.06%-47.36%

Monthly Win Rate % 61.5%46.2%

🔧 Technical Indicators

RSI (14-period) 55.2156.84

Price vs 50-Day MA % +7.99%+9.44%

Price vs 200-Day MA % +186.30%+61.81%

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).

APEX (APEX) vs PYTH (PYTH):	0.814 (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

APEX: Bybit
PYTH: Kraken