PYTH PYTH / MDAO Crypto vs MC MC / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / MDAOMC / USD

📈 Performance Metrics

Start Price 5.790.24

End Price 11.100.04

Price Change % +91.73%-81.18%

Period High 11.840.30

Period Low 2.880.04

Price Range % 311.2%577.1%

🏆 All-Time Records

All-Time High 11.840.30

Days Since ATH 1 days314 days

Distance From ATH % -6.3%-85.2%

All-Time Low 2.880.04

Distance From ATL % +285.3%+0.0%

New ATHs Hit 17 times4 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.19%5.80%

Biggest Jump (1 Day) % +2.88+0.05

Biggest Drop (1 Day) % -1.82-0.05

Days Above Avg % 48.4%27.6%

Extreme Moves days 13 (3.8%)20 (5.8%)

Stability Score % 0.0%0.0%

Trend Strength % 54.4%41.1%

Recent Momentum (10-day) % +70.50%-50.97%

📊 Statistical Measures

Average Price 5.360.13

Median Price 5.270.11

Price Std Deviation 1.320.05

🚀 Returns & Growth

CAGR % +100.31%-83.09%

Annualized Return % +100.31%-83.09%

Total Return % +91.73%-81.18%

⚠️ Risk & Volatility

Daily Volatility % 7.90%8.43%

Annualized Volatility % 150.96%161.00%

Max Drawdown % -66.53%-85.23%

Sharpe Ratio 0.062-0.015

Sortino Ratio 0.069-0.014

Calmar Ratio 1.508-0.975

Ulcer Index 40.2959.60

📅 Daily Performance

Win Rate % 54.4%49.5%

Positive Days 186138

Negative Days 156141

Best Day % +58.79%+27.37%

Worst Day % -32.55%-37.11%

Avg Gain (Up Days) % +5.25%+7.11%

Avg Loss (Down Days) % -5.19%-7.27%

Profit Factor 1.210.96

🔥 Streaks & Patterns

Longest Win Streak days 95

Longest Loss Streak days 87

💹 Trading Metrics

Omega Ratio 1.2060.958

Expectancy % +0.49%-0.16%

Kelly Criterion % 1.79%0.00%

📅 Weekly Performance

Best Week % +74.46%+39.89%

Worst Week % -21.65%-28.53%

Weekly Win Rate % 59.6%46.2%

📆 Monthly Performance

Best Month % +57.67%+49.81%

Worst Month % -28.23%-41.85%

Monthly Win Rate % 53.8%38.5%

🔧 Technical Indicators

RSI (14-period) 83.746.93

Price vs 50-Day MA % +129.93%-57.05%

Price vs 200-Day MA % +128.48%-55.34%

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 MC (MC):	0.438 (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
MC: Kraken