PYTH PYTH / ETHPY Crypto vs RESOLV RESOLV / 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 / ETHPYRESOLV / USD
📈 Performance Metrics
Start Price 0.000.35
End Price 0.000.08
Price Change % -82.63%-77.41%
Period High 0.000.35
Period Low 0.000.04
Price Range % 482.1%685.5%
🏆 All-Time Records
All-Time High 0.000.35
Days Since ATH 342 days158 days
Distance From ATH % -82.8%-77.4%
All-Time Low 0.000.04
Distance From ATL % +0.0%+77.4%
New ATHs Hit 1 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.66%6.37%
Biggest Jump (1 Day) % +0.00+0.06
Biggest Drop (1 Day) % 0.00-0.07
Days Above Avg % 47.1%54.7%
Extreme Moves days 11 (3.2%)10 (6.3%)
Stability Score % 0.0%0.0%
Trend Strength % 55.7%52.5%
Recent Momentum (10-day) % -10.40%-41.09%
📊 Statistical Measures
Average Price 0.000.15
Median Price 0.000.15
Price Std Deviation 0.000.05
🚀 Returns & Growth
CAGR % -84.48%-96.78%
Annualized Return % -84.48%-96.78%
Total Return % -82.63%-77.41%
⚠️ Risk & Volatility
Daily Volatility % 9.01%9.75%
Annualized Volatility % 172.21%186.22%
Max Drawdown % -82.82%-87.27%
Sharpe Ratio -0.019-0.044
Sortino Ratio -0.027-0.043
Calmar Ratio -1.020-1.109
Ulcer Index 57.6058.93
📅 Daily Performance
Win Rate % 44.3%47.5%
Positive Days 15275
Negative Days 19183
Best Day % +106.83%+43.47%
Worst Day % -21.22%-51.80%
Avg Gain (Up Days) % +5.59%+6.33%
Avg Loss (Down Days) % -4.76%-6.53%
Profit Factor 0.930.88
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.9340.876
Expectancy % -0.17%-0.43%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +60.71%+139.82%
Worst Week % -23.38%-46.33%
Weekly Win Rate % 40.4%37.5%
📆 Monthly Performance
Best Month % +18.03%+44.81%
Worst Month % -42.50%-55.65%
Monthly Win Rate % 23.1%42.9%
🔧 Technical Indicators
RSI (14-period) 24.1530.61
Price vs 50-Day MA % -23.55%-23.38%
Price vs 200-Day MA % -43.82%N/A
💰 Volume Analysis
Avg Volume 59123,535,280
Total Volume 203,4493,742,109,472

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): 0.483 (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
RESOLV: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures