PYTH PYTH / MDAO Crypto vs APU APU / MDAO 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 / MDAOAPU / MDAO
📈 Performance Metrics
Start Price 6.800.01
End Price 12.890.01
Price Change % +89.43%-46.28%
Period High 13.140.01
Period Low 2.880.00
Price Range % 356.3%378.4%
🏆 All-Time Records
All-Time High 13.140.01
Days Since ATH 1 days324 days
Distance From ATH % -2.0%-46.3%
All-Time Low 2.880.00
Distance From ATL % +347.4%+157.0%
New ATHs Hit 10 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.95%7.74%
Biggest Jump (1 Day) % +3.03+0.00
Biggest Drop (1 Day) % -6.090.00
Days Above Avg % 46.2%48.6%
Extreme Moves days 13 (4.0%)18 (5.6%)
Stability Score % 0.0%0.0%
Trend Strength % 53.7%50.0%
Recent Momentum (10-day) % +10.28%-14.07%
📊 Statistical Measures
Average Price 5.330.01
Median Price 5.140.01
Price Std Deviation 1.470.00
🚀 Returns & Growth
CAGR % +105.38%-50.34%
Annualized Return % +105.38%-50.34%
Total Return % +89.43%-46.28%
⚠️ Risk & Volatility
Daily Volatility % 8.79%11.03%
Annualized Volatility % 167.93%210.72%
Max Drawdown % -64.03%-79.10%
Sharpe Ratio 0.0660.037
Sortino Ratio 0.0720.041
Calmar Ratio 1.646-0.636
Ulcer Index 38.1351.10
📅 Daily Performance
Win Rate % 53.7%50.0%
Positive Days 174162
Negative Days 150162
Best Day % +58.79%+45.14%
Worst Day % -47.91%-46.93%
Avg Gain (Up Days) % +5.82%+8.37%
Avg Loss (Down Days) % -5.49%-7.55%
Profit Factor 1.231.11
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.2291.109
Expectancy % +0.58%+0.41%
Kelly Criterion % 1.82%0.65%
📅 Weekly Performance
Best Week % +56.09%+64.48%
Worst Week % -21.65%-32.89%
Weekly Win Rate % 59.2%42.9%
📆 Monthly Performance
Best Month % +83.05%+34.80%
Worst Month % -28.11%-49.33%
Monthly Win Rate % 50.0%50.0%
🔧 Technical Indicators
RSI (14-period) 60.4353.32
Price vs 50-Day MA % +107.65%+53.42%
Price vs 200-Day MA % +151.94%+6.79%

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): 0.328 (Moderate 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
ByBit Futures Trading Trade hundreds of crypto perpetual futures