ALEPH ALEPH / 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 ALEPH / MOGPYTH / MOG

📈 Performance Metrics

Start Price 67,568.64192,781.54

End Price 133,877.00257,882.19

Price Change % +98.13%+33.77%

Period High 163,043.48418,913.04

Period Low 41,565.7862,758.98

Price Range % 292.3%567.5%

🏆 All-Time Records

All-Time High 163,043.48418,913.04

Days Since ATH 213 days215 days

Distance From ATH % -17.9%-38.4%

All-Time Low 41,565.7862,758.98

Distance From ATL % +222.1%+310.9%

New ATHs Hit 20 times20 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.30%4.86%

Biggest Jump (1 Day) % +42,181.92+123,936.39

Biggest Drop (1 Day) % -32,455.24-64,854.22

Days Above Avg % 42.1%45.6%

Extreme Moves days 18 (5.3%)8 (2.3%)

Stability Score % 100.0%100.0%

Trend Strength % 49.9%54.5%

Recent Momentum (10-day) % -0.29%+3.88%

📊 Statistical Measures

Average Price 88,671.79197,878.48

Median Price 77,738.74188,009.85

Price Std Deviation 32,145.5581,973.04

🚀 Returns & Growth

CAGR % +107.90%+36.29%

Annualized Return % +107.90%+36.29%

Total Return % +98.13%+33.77%

⚠️ Risk & Volatility

Daily Volatility % 8.46%8.46%

Annualized Volatility % 161.59%161.71%

Max Drawdown % -74.51%-85.02%

Sharpe Ratio 0.0650.045

Sortino Ratio 0.0720.057

Calmar Ratio 1.4480.427

Ulcer Index 42.3650.28

📅 Daily Performance

Win Rate % 49.9%54.5%

Positive Days 170187

Negative Days 171156

Best Day % +55.69%+103.46%

Worst Day % -24.43%-21.43%

Avg Gain (Up Days) % +6.85%+4.87%

Avg Loss (Down Days) % -5.71%-5.00%

Profit Factor 1.191.17

🔥 Streaks & Patterns

Longest Win Streak days 710

Longest Loss Streak days 76

💹 Trading Metrics

Omega Ratio 1.1921.169

Expectancy % +0.55%+0.38%

Kelly Criterion % 1.40%1.58%

📅 Weekly Performance

Best Week % +41.38%+90.32%

Worst Week % -43.73%-41.67%

Weekly Win Rate % 67.3%65.4%

📆 Monthly Performance

Best Month % +44.22%+146.78%

Worst Month % -38.35%-47.36%

Monthly Win Rate % 61.5%46.2%

🔧 Technical Indicators

RSI (14-period) 55.5956.54

Price vs 50-Day MA % +16.76%+9.03%

Price vs 200-Day MA % +66.46%+60.15%

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).

ALEPH (ALEPH) vs PYTH (PYTH):	0.928 (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

ALEPH: Coinbase
PYTH: Kraken