PYTH PYTH / TREE Crypto vs VVV VVV / TREE Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

Asset PYTH / TREEVVV / TREE
📈 Performance Metrics
Start Price 0.194.42
End Price 0.639.77
Price Change % +239.84%+120.83%
Period High 0.6312.81
Period Low 0.194.42
Price Range % 242.2%189.5%
🏆 All-Time Records
All-Time High 0.6312.81
Days Since ATH 1 days51 days
Distance From ATH % -0.7%-23.7%
All-Time Low 0.194.42
Distance From ATL % +239.8%+120.8%
New ATHs Hit 22 times15 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.15%5.10%
Biggest Jump (1 Day) % +0.21+1.50
Biggest Drop (1 Day) % -0.07-1.93
Days Above Avg % 57.5%39.7%
Extreme Moves days 2 (2.8%)6 (8.3%)
Stability Score % 0.0%10.7%
Trend Strength % 62.5%55.6%
Recent Momentum (10-day) % +14.68%+9.18%
📊 Statistical Measures
Average Price 0.458.00
Median Price 0.497.75
Price Std Deviation 0.131.58
🚀 Returns & Growth
CAGR % +49,250.38%+5,448.26%
Annualized Return % +49,250.38%+5,448.26%
Total Return % +239.84%+120.83%
⚠️ Risk & Volatility
Daily Volatility % 8.26%7.15%
Annualized Volatility % 157.84%136.51%
Max Drawdown % -26.43%-45.62%
Sharpe Ratio 0.2420.190
Sortino Ratio 0.4140.222
Calmar Ratio 1,863.635119.421
Ulcer Index 9.8130.16
📅 Daily Performance
Win Rate % 62.5%55.6%
Positive Days 4540
Negative Days 2732
Best Day % +56.29%+25.23%
Worst Day % -14.23%-20.21%
Avg Gain (Up Days) % +5.20%+5.83%
Avg Loss (Down Days) % -3.34%-4.24%
Profit Factor 2.591.72
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 59
💹 Trading Metrics
Omega Ratio 2.5951.720
Expectancy % +2.00%+1.36%
Kelly Criterion % 11.50%5.48%
📅 Weekly Performance
Best Week % +43.16%+53.04%
Worst Week % -7.91%-16.42%
Weekly Win Rate % 72.7%36.4%
📆 Monthly Performance
Best Month % +144.64%+64.77%
Worst Month % 7.09%-9.32%
Monthly Win Rate % 100.0%75.0%
🔧 Technical Indicators
RSI (14-period) 83.4472.93
Price vs 50-Day MA % +20.70%+18.46%
💰 Volume Analysis
Avg Volume 11,263,87416,646
Total Volume 822,262,8141,215,183

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 VVV (VVV): 0.218 (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
VVV: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures