ZIG ZIG / PYTH Crypto vs PYTH PYTH / 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 ZIG / PYTHPYTH / USD
📈 Performance Metrics
Start Price 0.650.45
End Price 0.750.11
Price Change % +14.99%-75.68%
Period High 0.860.53
Period Low 0.520.09
Price Range % 65.0%518.7%
🏆 All-Time Records
All-Time High 0.860.53
Days Since ATH 7 days321 days
Distance From ATH % -12.8%-79.4%
All-Time Low 0.520.09
Distance From ATL % +43.8%+27.7%
New ATHs Hit 5 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.24%4.42%
Biggest Jump (1 Day) % +0.10+0.11
Biggest Drop (1 Day) % -0.12-0.09
Days Above Avg % 46.8%30.5%
Extreme Moves days 3 (6.5%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 43.5%50.1%
Recent Momentum (10-day) % +6.63%-34.37%
📊 Statistical Measures
Average Price 0.660.20
Median Price 0.630.15
Price Std Deviation 0.090.12
🚀 Returns & Growth
CAGR % +202.92%-77.79%
Annualized Return % +202.92%-77.79%
Total Return % +14.99%-75.68%
⚠️ Risk & Volatility
Daily Volatility % 6.65%8.00%
Annualized Volatility % 127.09%152.76%
Max Drawdown % -21.66%-83.84%
Sharpe Ratio 0.078-0.018
Sortino Ratio 0.099-0.022
Calmar Ratio 9.370-0.928
Ulcer Index 10.1064.84
📅 Daily Performance
Win Rate % 43.5%49.7%
Positive Days 20170
Negative Days 26172
Best Day % +17.79%+99.34%
Worst Day % -15.40%-32.57%
Avg Gain (Up Days) % +6.57%+4.53%
Avg Loss (Down Days) % -4.13%-4.76%
Profit Factor 1.220.94
🔥 Streaks & Patterns
Longest Win Streak days 27
Longest Loss Streak days 36
💹 Trading Metrics
Omega Ratio 1.2230.940
Expectancy % +0.52%-0.14%
Kelly Criterion % 1.92%0.00%
📅 Weekly Performance
Best Week % +7.15%+65.86%
Worst Week % -12.07%-27.08%
Weekly Win Rate % 33.3%51.9%
📆 Monthly Performance
Best Month % +12.29%+65.32%
Worst Month % -2.80%-31.62%
Monthly Win Rate % 33.3%38.5%
🔧 Technical Indicators
RSI (14-period) 58.5634.28
Price vs 50-Day MA % N/A-26.24%
Price vs 200-Day MA % N/A-18.49%

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).

ZIG (ZIG) vs PYTH (PYTH): -0.773 (Strong negative)

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

ZIG: Kraken
PYTH: Kraken
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