PYTH PYTH / MDAO Crypto vs ME ME / 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 / MDAOME / USD
📈 Performance Metrics
Start Price 4.771.80
End Price 7.290.46
Price Change % +52.80%-74.34%
Period High 8.612.05
Period Low 2.880.46
Price Range % 198.8%344.5%
🏆 All-Time Records
All-Time High 8.612.05
Days Since ATH 315 days242 days
Distance From ATH % -15.3%-77.4%
All-Time Low 2.880.46
Distance From ATL % +153.0%+0.3%
New ATHs Hit 19 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.91%4.43%
Biggest Jump (1 Day) % +2.18+0.58
Biggest Drop (1 Day) % -1.82-0.32
Days Above Avg % 48.8%38.4%
Extreme Moves days 13 (3.8%)8 (3.1%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%51.8%
Recent Momentum (10-day) % +27.08%-13.37%
📊 Statistical Measures
Average Price 5.290.94
Median Price 5.260.86
Price Std Deviation 1.190.30
🚀 Returns & Growth
CAGR % +57.01%-85.51%
Annualized Return % +57.01%-85.51%
Total Return % +52.80%-74.34%
⚠️ Risk & Volatility
Daily Volatility % 7.39%6.18%
Annualized Volatility % 141.22%118.01%
Max Drawdown % -66.53%-77.50%
Sharpe Ratio 0.053-0.056
Sortino Ratio 0.056-0.059
Calmar Ratio 0.857-1.103
Ulcer Index 40.1956.04
📅 Daily Performance
Win Rate % 54.5%48.0%
Positive Days 187123
Negative Days 156133
Best Day % +58.79%+47.45%
Worst Day % -32.55%-22.84%
Avg Gain (Up Days) % +4.95%+3.92%
Avg Loss (Down Days) % -5.08%-4.29%
Profit Factor 1.170.84
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 810
💹 Trading Metrics
Omega Ratio 1.1680.845
Expectancy % +0.39%-0.35%
Kelly Criterion % 1.54%0.00%
📅 Weekly Performance
Best Week % +37.96%+19.47%
Worst Week % -21.65%-21.51%
Weekly Win Rate % 56.6%46.2%
📆 Monthly Performance
Best Month % +78.79%+6.48%
Worst Month % -28.23%-27.99%
Monthly Win Rate % 53.8%36.4%
🔧 Technical Indicators
RSI (14-period) 65.3922.24
Price vs 50-Day MA % +69.07%-29.45%
Price vs 200-Day MA % +53.15%-42.89%

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 ME (ME): 0.392 (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
ME: Kraken