PYTH PYTH / MOG Crypto vs ATM ATM / 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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Asset PYTH / MOGATM / MOG
📈 Performance Metrics
Start Price 213,624.60955,906.15
End Price 235,925.812,918,971.69
Price Change % +10.44%+205.36%
Period High 418,913.043,586,956.52
Period Low 62,758.98559,664.31
Price Range % 567.5%540.9%
🏆 All-Time Records
All-Time High 418,913.043,586,956.52
Days Since ATH 219 days219 days
Distance From ATH % -43.7%-18.6%
All-Time Low 62,758.98559,664.31
Distance From ATL % +275.9%+421.6%
New ATHs Hit 20 times29 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.83%6.03%
Biggest Jump (1 Day) % +123,936.39+519,436.56
Biggest Drop (1 Day) % -64,854.22-596,035.41
Days Above Avg % 46.2%41.3%
Extreme Moves days 8 (2.3%)16 (4.7%)
Stability Score % 100.0%100.0%
Trend Strength % 54.2%54.2%
Recent Momentum (10-day) % +0.45%+8.67%
📊 Statistical Measures
Average Price 198,262.811,639,584.92
Median Price 188,009.851,380,220.05
Price Std Deviation 82,077.46727,664.27
🚀 Returns & Growth
CAGR % +11.15%+228.03%
Annualized Return % +11.15%+228.03%
Total Return % +10.44%+205.36%
⚠️ Risk & Volatility
Daily Volatility % 8.44%8.11%
Annualized Volatility % 161.22%155.01%
Max Drawdown % -85.02%-84.40%
Sharpe Ratio 0.0390.080
Sortino Ratio 0.0480.083
Calmar Ratio 0.1312.702
Ulcer Index 50.2347.48
📅 Daily Performance
Win Rate % 54.4%54.2%
Positive Days 186186
Negative Days 156157
Best Day % +103.46%+37.14%
Worst Day % -21.43%-22.28%
Avg Gain (Up Days) % +4.82%+6.24%
Avg Loss (Down Days) % -5.03%-5.96%
Profit Factor 1.141.24
🔥 Streaks & Patterns
Longest Win Streak days 107
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.1431.239
Expectancy % +0.33%+0.65%
Kelly Criterion % 1.35%1.75%
📅 Weekly Performance
Best Week % +90.32%+36.49%
Worst Week % -36.88%-45.79%
Weekly Win Rate % 63.5%63.5%
📆 Monthly Performance
Best Month % +146.78%+50.43%
Worst Month % -47.36%-34.10%
Monthly Win Rate % 46.2%61.5%
🔧 Technical Indicators
RSI (14-period) 49.6758.72
Price vs 50-Day MA % -1.78%+15.91%
Price vs 200-Day MA % +47.05%+89.98%

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 ATM (ATM): 0.860 (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
ATM: Binance