PYTH PYTH / USD Crypto vs APU APU / 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 / USDAPU / USD
📈 Performance Metrics
Start Price 0.420.00
End Price 0.080.00
Price Change % -80.65%-95.76%
Period High 0.530.00
Period Low 0.080.00
Price Range % 553.3%2,260.2%
🏆 All-Time Records
All-Time High 0.530.00
Days Since ATH 331 days343 days
Distance From ATH % -84.7%-95.8%
All-Time Low 0.080.00
Distance From ATL % +0.0%+0.0%
New ATHs Hit 9 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.50%7.20%
Biggest Jump (1 Day) % +0.11+0.00
Biggest Drop (1 Day) % -0.090.00
Days Above Avg % 29.7%21.8%
Extreme Moves days 7 (2.0%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%52.2%
Recent Momentum (10-day) % -12.36%-31.11%
📊 Statistical Measures
Average Price 0.200.00
Median Price 0.150.00
Price Std Deviation 0.110.00
🚀 Returns & Growth
CAGR % -82.59%-96.54%
Annualized Return % -82.59%-96.54%
Total Return % -80.65%-95.76%
⚠️ Risk & Volatility
Daily Volatility % 8.00%9.31%
Annualized Volatility % 152.88%177.96%
Max Drawdown % -84.69%-95.76%
Sharpe Ratio -0.026-0.053
Sortino Ratio -0.033-0.056
Calmar Ratio -0.975-1.008
Ulcer Index 66.3775.35
📅 Daily Performance
Win Rate % 48.8%47.5%
Positive Days 167162
Negative Days 175179
Best Day % +99.34%+47.40%
Worst Day % -32.57%-24.09%
Avg Gain (Up Days) % +4.57%+6.91%
Avg Loss (Down Days) % -4.77%-7.20%
Profit Factor 0.910.87
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 0.9140.869
Expectancy % -0.21%-0.50%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+78.03%
Worst Week % -27.08%-30.85%
Weekly Win Rate % 51.9%34.6%
📆 Monthly Performance
Best Month % +65.32%+37.53%
Worst Month % -31.62%-56.54%
Monthly Win Rate % 38.5%46.2%
🔧 Technical Indicators
RSI (14-period) 21.007.48
Price vs 50-Day MA % -39.19%-61.25%
Price vs 200-Day MA % -38.66%-76.28%

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 APU (APU): 0.930 (Strong 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
APU: Kraken