PYTH PYTH / PYTH Crypto vs MOCA MOCA / USD 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 / PYTHMOCA / USD
📈 Performance Metrics
Start Price 1.000.07
End Price 1.000.04
Price Change % +0.00%-42.65%
Period High 1.000.08
Period Low 1.000.04
Price Range % 0.0%97.8%
🏆 All-Time Records
All-Time High 1.000.08
Days Since ATH 343 days20 days
Distance From ATH % +0.0%-47.1%
All-Time Low 1.000.04
Distance From ATL % +0.0%+4.6%
New ATHs Hit 0 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 0.00%3.74%
Biggest Jump (1 Day) % +0.00+0.01
Biggest Drop (1 Day) % 0.00-0.02
Days Above Avg % 0.0%76.2%
Extreme Moves days 0 (0.0%)3 (4.8%)
Stability Score % 100.0%0.0%
Trend Strength % 0.0%46.8%
Recent Momentum (10-day) % +0.00%-38.88%
📊 Statistical Measures
Average Price 1.000.07
Median Price 1.000.07
Price Std Deviation 0.000.01
🚀 Returns & Growth
CAGR % +0.00%-96.21%
Annualized Return % +0.00%-96.21%
Total Return % +0.00%-42.65%
⚠️ Risk & Volatility
Daily Volatility % 0.00%5.63%
Annualized Volatility % 0.00%107.63%
Max Drawdown % -0.00%-49.45%
Sharpe Ratio 0.000-0.128
Sortino Ratio 0.000-0.100
Calmar Ratio 0.000-1.946
Ulcer Index 0.0019.05
📅 Daily Performance
Win Rate % 0.0%50.8%
Positive Days 030
Negative Days 029
Best Day % +0.00%+9.54%
Worst Day % 0.00%-26.11%
Avg Gain (Up Days) % +0.00%+3.20%
Avg Loss (Down Days) % -0.00%-4.85%
Profit Factor 0.000.68
🔥 Streaks & Patterns
Longest Win Streak days 04
Longest Loss Streak days 04
💹 Trading Metrics
Omega Ratio 0.0000.682
Expectancy % +0.00%-0.76%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +0.00%+12.04%
Worst Week % 0.00%-22.96%
Weekly Win Rate % 0.0%72.7%
📆 Monthly Performance
Best Month % +0.00%+13.67%
Worst Month % 0.00%-27.02%
Monthly Win Rate % 0.0%25.0%
🔧 Technical Indicators
RSI (14-period) 100.0026.14
Price vs 50-Day MA % +0.00%-36.97%
Price vs 200-Day MA % +0.00%N/A

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 MOCA (MOCA): 0.000 (Weak)

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
MOCA: Kraken