PYTH PYTH / DOT Crypto vs XVS XVS / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / DOTXVS / USD
📈 Performance Metrics
Start Price 0.087.84
End Price 0.034.15
Price Change % -58.71%-47.07%
Period High 0.0811.89
Period Low 0.034.07
Price Range % 188.0%192.1%
🏆 All-Time Records
All-Time High 0.0811.89
Days Since ATH 343 days322 days
Distance From ATH % -58.7%-65.1%
All-Time Low 0.034.07
Distance From ATL % +18.9%+2.0%
New ATHs Hit 0 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.82%3.69%
Biggest Jump (1 Day) % +0.03+2.00
Biggest Drop (1 Day) % -0.01-2.72
Days Above Avg % 37.5%32.3%
Extreme Moves days 5 (1.5%)12 (3.5%)
Stability Score % 0.0%23.0%
Trend Strength % 55.4%47.8%
Recent Momentum (10-day) % -10.56%-17.53%
📊 Statistical Measures
Average Price 0.046.81
Median Price 0.046.33
Price Std Deviation 0.011.65
🚀 Returns & Growth
CAGR % -60.98%-49.18%
Annualized Return % -60.98%-49.18%
Total Return % -58.71%-47.07%
⚠️ Risk & Volatility
Daily Volatility % 6.16%5.24%
Annualized Volatility % 117.61%100.18%
Max Drawdown % -65.28%-65.77%
Sharpe Ratio -0.018-0.008
Sortino Ratio -0.031-0.008
Calmar Ratio -0.934-0.748
Ulcer Index 50.8444.50
📅 Daily Performance
Win Rate % 44.6%51.2%
Positive Days 153172
Negative Days 190164
Best Day % +91.84%+31.65%
Worst Day % -22.16%-36.32%
Avg Gain (Up Days) % +2.96%+3.53%
Avg Loss (Down Days) % -2.59%-3.80%
Profit Factor 0.920.98
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.9220.976
Expectancy % -0.11%-0.04%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.44%+48.59%
Worst Week % -28.59%-19.48%
Weekly Win Rate % 37.7%52.8%
📆 Monthly Performance
Best Month % +56.66%+26.53%
Worst Month % -27.83%-23.41%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 30.4847.04
Price vs 50-Day MA % -14.01%-28.15%
Price vs 200-Day MA % -5.71%-31.08%

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 XVS (XVS): 0.698 (Moderate 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
XVS: Binance