PYTH PYTH / PYTH Crypto vs CRV CRV / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / PYTHCRV / USD

📈 Performance Metrics

Start Price 1.000.29

End Price 1.000.46

Price Change % +0.00%+58.58%

Period High 1.001.25

Period Low 1.000.29

Price Range % 0.0%332.2%

🏆 All-Time Records

All-Time High 1.001.25

Days Since ATH 343 days321 days

Distance From ATH % +0.0%-63.3%

All-Time Low 1.000.29

Distance From ATL % +0.0%+58.6%

New ATHs Hit 0 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 0.00%4.90%

Biggest Jump (1 Day) % +0.00+0.21

Biggest Drop (1 Day) % 0.00-0.26

Days Above Avg % 0.0%48.0%

Extreme Moves days 0 (0.0%)20 (5.8%)

Stability Score % 100.0%0.0%

Trend Strength % 0.0%49.3%

Recent Momentum (10-day) % +0.00%-26.75%

📊 Statistical Measures

Average Price 1.000.70

Median Price 1.000.69

Price Std Deviation 0.000.20

🚀 Returns & Growth

CAGR % +0.00%+63.34%

Annualized Return % +0.00%+63.34%

Total Return % +0.00%+58.58%

⚠️ Risk & Volatility

Daily Volatility % 0.00%6.80%

Annualized Volatility % 0.00%129.85%

Max Drawdown % -0.00%-70.78%

Sharpe Ratio 0.0000.054

Sortino Ratio 0.0000.058

Calmar Ratio 0.0000.895

Ulcer Index 0.0044.61

📅 Daily Performance

Win Rate % 0.0%49.3%

Positive Days 0169

Negative Days 0174

Best Day % +0.00%+25.28%

Worst Day % 0.00%-35.10%

Avg Gain (Up Days) % +0.00%+5.35%

Avg Loss (Down Days) % -0.00%-4.48%

Profit Factor 0.001.16

🔥 Streaks & Patterns

Longest Win Streak days 06

Longest Loss Streak days 07

💹 Trading Metrics

Omega Ratio 0.0001.162

Expectancy % +0.00%+0.37%

Kelly Criterion % 0.00%1.53%

📅 Weekly Performance

Best Week % +0.00%+64.71%

Worst Week % 0.00%-24.76%

Weekly Win Rate % 0.0%51.9%

📆 Monthly Performance

Best Month % +0.00%+134.95%

Worst Month % 0.00%-34.69%

Monthly Win Rate % 0.0%46.2%

🔧 Technical Indicators

RSI (14-period) 100.0030.84

Price vs 50-Day MA % +0.00%-31.62%

Price vs 200-Day MA % +0.00%-35.90%

💰 Volume Analysis

Avg Volume 11,531,2524,130,706

Total Volume 3,966,750,8561,420,962,959

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 CRV (CRV):	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
CRV: Kraken