RESOLV RESOLV / PYTH Crypto vs EDU EDU / PYTH 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 RESOLV / PYTHEDU / PYTH
📈 Performance Metrics
Start Price 2.691.47
End Price 1.162.11
Price Change % -56.77%+43.64%
Period High 2.782.46
Period Low 0.470.63
Price Range % 498.1%290.2%
🏆 All-Time Records
All-Time High 2.782.46
Days Since ATH 162 days12 days
Distance From ATH % -58.2%-14.1%
All-Time Low 0.470.63
Distance From ATL % +150.0%+235.4%
New ATHs Hit 1 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.28%3.50%
Biggest Jump (1 Day) % +0.70+0.75
Biggest Drop (1 Day) % -0.65-0.64
Days Above Avg % 47.6%42.4%
Extreme Moves days 11 (6.7%)5 (1.5%)
Stability Score % 0.0%0.0%
Trend Strength % 53.4%49.0%
Recent Momentum (10-day) % -14.54%+0.03%
📊 Statistical Measures
Average Price 1.291.25
Median Price 1.271.14
Price Std Deviation 0.470.37
🚀 Returns & Growth
CAGR % -84.71%+47.02%
Annualized Return % -84.71%+47.02%
Total Return % -56.77%+43.64%
⚠️ Risk & Volatility
Daily Volatility % 9.95%6.88%
Annualized Volatility % 190.13%131.36%
Max Drawdown % -83.28%-63.83%
Sharpe Ratio 0.0000.048
Sortino Ratio 0.0000.060
Calmar Ratio -1.0170.737
Ulcer Index 56.2834.47
📅 Daily Performance
Win Rate % 46.6%49.0%
Positive Days 76168
Negative Days 87175
Best Day % +48.35%+81.34%
Worst Day % -49.30%-50.21%
Avg Gain (Up Days) % +6.52%+3.95%
Avg Loss (Down Days) % -5.69%-3.15%
Profit Factor 1.001.20
🔥 Streaks & Patterns
Longest Win Streak days 88
Longest Loss Streak days 910
💹 Trading Metrics
Omega Ratio 1.0011.204
Expectancy % +0.00%+0.33%
Kelly Criterion % 0.01%2.63%
📅 Weekly Performance
Best Week % +113.47%+28.66%
Worst Week % -43.20%-43.20%
Weekly Win Rate % 20.0%44.2%
📆 Monthly Performance
Best Month % +115.84%+47.66%
Worst Month % -50.31%-34.63%
Monthly Win Rate % 14.3%61.5%
🔧 Technical Indicators
RSI (14-period) 56.0149.52
Price vs 50-Day MA % +3.19%+17.94%
Price vs 200-Day MA % N/A+67.10%
💰 Volume Analysis
Avg Volume 230,146,995101,633,121
Total Volume 37,744,107,24034,961,793,487

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).

RESOLV (RESOLV) vs EDU (EDU): 0.200 (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

RESOLV: Bybit
EDU: Binance