PYTH PYTH / USD Crypto vs ZIG ZIG / 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 / USDZIG / USD
📈 Performance Metrics
Start Price 0.470.10
End Price 0.060.06
Price Change % -87.11%-34.28%
Period High 0.490.13
Period Low 0.060.05
Price Range % 707.4%153.9%
🏆 All-Time Records
All-Time High 0.490.13
Days Since ATH 342 days51 days
Distance From ATH % -87.6%-49.2%
All-Time Low 0.060.05
Distance From ATL % +0.0%+28.9%
New ATHs Hit 1 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.61%3.96%
Biggest Jump (1 Day) % +0.11+0.02
Biggest Drop (1 Day) % -0.06-0.03
Days Above Avg % 30.5%48.1%
Extreme Moves days 6 (1.7%)6 (7.5%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%58.8%
Recent Momentum (10-day) % -10.12%+12.95%
📊 Statistical Measures
Average Price 0.170.08
Median Price 0.140.08
Price Std Deviation 0.090.02
🚀 Returns & Growth
CAGR % -88.70%-85.27%
Annualized Return % -88.70%-85.27%
Total Return % -87.11%-34.28%
⚠️ Risk & Volatility
Daily Volatility % 7.94%6.19%
Annualized Volatility % 151.68%118.34%
Max Drawdown % -87.61%-60.61%
Sharpe Ratio -0.042-0.053
Sortino Ratio -0.054-0.060
Calmar Ratio -1.012-1.407
Ulcer Index 68.2836.56
📅 Daily Performance
Win Rate % 46.8%40.5%
Positive Days 16032
Negative Days 18247
Best Day % +99.34%+20.78%
Worst Day % -32.57%-24.63%
Avg Gain (Up Days) % +4.61%+4.63%
Avg Loss (Down Days) % -4.68%-3.72%
Profit Factor 0.870.85
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 68
💹 Trading Metrics
Omega Ratio 0.8660.848
Expectancy % -0.33%-0.34%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+16.63%
Worst Week % -27.08%-19.61%
Weekly Win Rate % 45.3%50.0%
📆 Monthly Performance
Best Month % +65.32%+28.93%
Worst Month % -32.91%-34.68%
Monthly Win Rate % 30.8%75.0%
🔧 Technical Indicators
RSI (14-period) 40.6768.35
Price vs 50-Day MA % -32.08%-9.09%
Price vs 200-Day MA % -50.26%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 ZIG (ZIG): 0.914 (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
ZIG: Kraken