PYTH PYTH / COQ Crypto vs INTR INTR / 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 / COQINTR / USD
📈 Performance Metrics
Start Price 207,565.930.01
End Price 310,857.330.00
Price Change % +49.76%-92.31%
Period High 448,149.590.02
Period Low 146,060.060.00
Price Range % 206.8%2,198.2%
🏆 All-Time Records
All-Time High 448,149.590.02
Days Since ATH 46 days311 days
Distance From ATH % -30.6%-95.6%
All-Time Low 146,060.060.00
Distance From ATL % +112.8%+0.0%
New ATHs Hit 4 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.82%5.39%
Biggest Jump (1 Day) % +221,168.27+0.00
Biggest Drop (1 Day) % -83,311.190.00
Days Above Avg % 46.5%34.6%
Extreme Moves days 2 (2.0%)15 (4.4%)
Stability Score % 100.0%0.0%
Trend Strength % 52.0%45.5%
Recent Momentum (10-day) % +7.67%-24.85%
📊 Statistical Measures
Average Price 261,544.640.01
Median Price 222,458.360.00
Price Std Deviation 72,675.420.00
🚀 Returns & Growth
CAGR % +350.08%-93.47%
Annualized Return % +350.08%-93.47%
Total Return % +49.76%-92.31%
⚠️ Risk & Volatility
Daily Volatility % 11.37%8.49%
Annualized Volatility % 217.24%162.19%
Max Drawdown % -45.61%-95.65%
Sharpe Ratio 0.078-0.044
Sortino Ratio 0.136-0.041
Calmar Ratio 7.675-0.977
Ulcer Index 21.1771.27
📅 Daily Performance
Win Rate % 52.0%48.5%
Positive Days 51147
Negative Days 47156
Best Day % +97.44%+39.96%
Worst Day % -25.47%-47.53%
Avg Gain (Up Days) % +5.51%+6.38%
Avg Loss (Down Days) % -4.12%-6.84%
Profit Factor 1.450.88
🔥 Streaks & Patterns
Longest Win Streak days 54
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.4490.880
Expectancy % +0.89%-0.42%
Kelly Criterion % 3.91%0.00%
📅 Weekly Performance
Best Week % +88.01%+33.84%
Worst Week % -13.48%-19.72%
Weekly Win Rate % 62.5%38.5%
📆 Monthly Performance
Best Month % +126.01%+50.53%
Worst Month % -17.27%-27.89%
Monthly Win Rate % 40.0%23.1%
🔧 Technical Indicators
RSI (14-period) 57.9733.07
Price vs 50-Day MA % -4.11%-60.10%
Price vs 200-Day MA % N/A-72.92%

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 INTR (INTR): -0.640 (Moderate negative)

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
INTR: Kraken