PYTH PYTH / DIMO Crypto vs SHELL SHELL / USD 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 / DIMOSHELL / USD
📈 Performance Metrics
Start Price 2.360.60
End Price 2.930.13
Price Change % +24.36%-78.94%
Period High 3.610.60
Period Low 1.040.11
Price Range % 246.5%447.5%
🏆 All-Time Records
All-Time High 3.610.60
Days Since ATH 41 days224 days
Distance From ATH % -18.8%-78.9%
All-Time Low 1.040.11
Distance From ATL % +181.4%+15.3%
New ATHs Hit 11 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.18%5.57%
Biggest Jump (1 Day) % +1.90+0.04
Biggest Drop (1 Day) % -1.35-0.11
Days Above Avg % 45.3%32.9%
Extreme Moves days 11 (3.2%)14 (6.3%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%53.1%
Recent Momentum (10-day) % +9.48%-3.27%
📊 Statistical Measures
Average Price 2.250.18
Median Price 2.210.15
Price Std Deviation 0.320.07
🚀 Returns & Growth
CAGR % +26.11%-92.10%
Annualized Return % +26.11%-92.10%
Total Return % +24.36%-78.94%
⚠️ Risk & Volatility
Daily Volatility % 10.17%6.81%
Annualized Volatility % 194.23%130.07%
Max Drawdown % -64.31%-81.74%
Sharpe Ratio 0.050-0.068
Sortino Ratio 0.060-0.067
Calmar Ratio 0.406-1.127
Ulcer Index 26.2070.84
📅 Daily Performance
Win Rate % 54.5%46.6%
Positive Days 187104
Negative Days 156119
Best Day % +116.70%+20.69%
Worst Day % -40.99%-18.92%
Avg Gain (Up Days) % +5.37%+5.16%
Avg Loss (Down Days) % -5.31%-5.38%
Profit Factor 1.210.84
🔥 Streaks & Patterns
Longest Win Streak days 1010
Longest Loss Streak days 69
💹 Trading Metrics
Omega Ratio 1.2120.839
Expectancy % +0.51%-0.46%
Kelly Criterion % 1.80%0.00%
📅 Weekly Performance
Best Week % +59.14%+26.80%
Worst Week % -19.22%-30.99%
Weekly Win Rate % 51.0%45.5%
📆 Monthly Performance
Best Month % +28.72%+24.25%
Worst Month % -23.85%-57.91%
Monthly Win Rate % 38.5%44.4%
🔧 Technical Indicators
RSI (14-period) 68.5161.26
Price vs 50-Day MA % +17.28%-0.73%
Price vs 200-Day MA % +34.58%-21.81%
💰 Volume Analysis
Avg Volume 25,555,41831,930,731
Total Volume 8,791,063,6257,184,414,556

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 SHELL (SHELL): 0.086 (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
SHELL: Binance
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