PYTH PYTH / PYTH Crypto vs QORPO QORPO / PYTH 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 / PYTHQORPO / PYTH
📈 Performance Metrics
Start Price 1.000.19
End Price 1.000.06
Price Change % +0.00%-69.94%
Period High 1.000.58
Period Low 1.000.05
Price Range % 0.0%1,186.2%
🏆 All-Time Records
All-Time High 1.000.58
Days Since ATH 343 days309 days
Distance From ATH % +0.0%-90.1%
All-Time Low 1.000.05
Distance From ATL % +0.0%+27.0%
New ATHs Hit 0 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 0.00%6.38%
Biggest Jump (1 Day) % +0.00+0.13
Biggest Drop (1 Day) % 0.00-0.06
Days Above Avg % 0.0%31.4%
Extreme Moves days 0 (0.0%)12 (3.5%)
Stability Score % 100.0%0.0%
Trend Strength % 0.0%55.7%
Recent Momentum (10-day) % +0.00%-23.33%
📊 Statistical Measures
Average Price 1.000.18
Median Price 1.000.14
Price Std Deviation 0.000.12
🚀 Returns & Growth
CAGR % +0.00%-72.17%
Annualized Return % +0.00%-72.17%
Total Return % +0.00%-69.94%
⚠️ Risk & Volatility
Daily Volatility % 0.00%9.41%
Annualized Volatility % 0.00%179.69%
Max Drawdown % -0.00%-92.23%
Sharpe Ratio 0.0000.008
Sortino Ratio 0.0000.010
Calmar Ratio 0.000-0.783
Ulcer Index 0.0069.91
📅 Daily Performance
Win Rate % 0.0%44.3%
Positive Days 0152
Negative Days 0191
Best Day % +0.00%+69.72%
Worst Day % 0.00%-50.62%
Avg Gain (Up Days) % +0.00%+7.17%
Avg Loss (Down Days) % -0.00%-5.58%
Profit Factor 0.001.02
🔥 Streaks & Patterns
Longest Win Streak days 06
Longest Loss Streak days 06
💹 Trading Metrics
Omega Ratio 0.0001.023
Expectancy % +0.00%+0.07%
Kelly Criterion % 0.00%0.18%
📅 Weekly Performance
Best Week % +0.00%+107.37%
Worst Week % 0.00%-47.50%
Weekly Win Rate % 0.0%38.5%
📆 Monthly Performance
Best Month % +0.00%+109.25%
Worst Month % 0.00%-34.92%
Monthly Win Rate % 0.0%15.4%
🔧 Technical Indicators
RSI (14-period) 100.0047.43
Price vs 50-Day MA % +0.00%-16.08%
Price vs 200-Day MA % +0.00%-46.07%

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 QORPO (QORPO): 0.000 (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
QORPO: Bybit