PYTH PYTH / ROOT Crypto vs RESOLV RESOLV / ROOT 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 / ROOTRESOLV / ROOT
📈 Performance Metrics
Start Price 11.8577.78
End Price 233.53271.02
Price Change % +1,870.83%+248.44%
Period High 314.38392.35
Period Low 10.0432.54
Price Range % 3,030.3%1,105.7%
🏆 All-Time Records
All-Time High 314.38392.35
Days Since ATH 3 days14 days
Distance From ATH % -25.7%-30.9%
All-Time Low 10.0432.54
Distance From ATL % +2,225.3%+732.9%
New ATHs Hit 57 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.66%10.26%
Biggest Jump (1 Day) % +54.20+122.33
Biggest Drop (1 Day) % -78.87-114.02
Days Above Avg % 22.7%19.5%
Extreme Moves days 9 (2.6%)5 (3.2%)
Stability Score % 72.0%82.6%
Trend Strength % 59.5%55.1%
Recent Momentum (10-day) % +43.00%-6.74%
📊 Statistical Measures
Average Price 44.3787.88
Median Price 25.8953.77
Price Std Deviation 53.7785.76
🚀 Returns & Growth
CAGR % +2,286.10%+1,688.08%
Annualized Return % +2,286.10%+1,688.08%
Total Return % +1,870.83%+248.44%
⚠️ Risk & Volatility
Daily Volatility % 12.41%15.31%
Annualized Volatility % 237.03%292.51%
Max Drawdown % -73.38%-63.26%
Sharpe Ratio 0.1220.113
Sortino Ratio 0.1570.158
Calmar Ratio 31.15626.685
Ulcer Index 20.3935.02
📅 Daily Performance
Win Rate % 59.5%55.1%
Positive Days 20487
Negative Days 13971
Best Day % +129.81%+135.71%
Worst Day % -50.29%-50.12%
Avg Gain (Up Days) % +6.67%+9.34%
Avg Loss (Down Days) % -6.05%-7.58%
Profit Factor 1.621.51
🔥 Streaks & Patterns
Longest Win Streak days 98
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.6181.510
Expectancy % +1.52%+1.74%
Kelly Criterion % 3.75%2.45%
📅 Weekly Performance
Best Week % +98.10%+140.72%
Worst Week % -69.66%-40.90%
Weekly Win Rate % 71.2%45.8%
📆 Monthly Performance
Best Month % +114.58%+363.14%
Worst Month % -23.18%-54.21%
Monthly Win Rate % 69.2%42.9%
🔧 Technical Indicators
RSI (14-period) 55.4238.44
Price vs 50-Day MA % +52.45%+55.81%
Price vs 200-Day MA % +256.94%N/A
💰 Volume Analysis
Avg Volume 810,426,58812,603,123,783
Total Volume 278,786,746,1342,003,896,681,530

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 RESOLV (RESOLV): 0.907 (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
RESOLV: Bybit