PYTH PYTH / MDAO Crypto vs HEI HEI / 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 / MDAOHEI / MDAO
📈 Performance Metrics
Start Price 6.2218.00
End Price 8.2718.53
Price Change % +32.89%+2.90%
Period High 12.7128.66
Period Low 2.887.53
Price Range % 341.4%280.4%
🏆 All-Time Records
All-Time High 12.7128.66
Days Since ATH 5 days5 days
Distance From ATH % -35.0%-35.3%
All-Time Low 2.887.53
Distance From ATL % +187.1%+145.9%
New ATHs Hit 16 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.56%6.30%
Biggest Jump (1 Day) % +2.88+5.94
Biggest Drop (1 Day) % -6.09-14.10
Days Above Avg % 46.8%51.2%
Extreme Moves days 14 (4.1%)13 (5.2%)
Stability Score % 0.0%34.0%
Trend Strength % 54.2%52.6%
Recent Momentum (10-day) % +52.99%+52.81%
📊 Statistical Measures
Average Price 5.3913.65
Median Price 5.2813.73
Price Std Deviation 1.373.16
🚀 Returns & Growth
CAGR % +35.33%+4.24%
Annualized Return % +35.33%+4.24%
Total Return % +32.89%+2.90%
⚠️ Risk & Volatility
Daily Volatility % 8.41%9.01%
Annualized Volatility % 160.64%172.20%
Max Drawdown % -66.53%-64.84%
Sharpe Ratio 0.0520.048
Sortino Ratio 0.0550.049
Calmar Ratio 0.5310.065
Ulcer Index 40.5335.60
📅 Daily Performance
Win Rate % 54.2%52.6%
Positive Days 186132
Negative Days 157119
Best Day % +58.79%+41.04%
Worst Day % -47.91%-49.20%
Avg Gain (Up Days) % +5.39%+6.16%
Avg Loss (Down Days) % -5.43%-5.91%
Profit Factor 1.181.16
🔥 Streaks & Patterns
Longest Win Streak days 98
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1761.156
Expectancy % +0.44%+0.44%
Kelly Criterion % 1.49%1.20%
📅 Weekly Performance
Best Week % +37.96%+38.26%
Worst Week % -21.65%-33.76%
Weekly Win Rate % 59.6%60.5%
📆 Monthly Performance
Best Month % +37.06%+20.58%
Worst Month % -28.23%-26.30%
Monthly Win Rate % 53.8%60.0%
🔧 Technical Indicators
RSI (14-period) 67.6867.22
Price vs 50-Day MA % +59.09%+50.07%
Price vs 200-Day MA % +67.81%+41.17%

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 HEI (HEI): 0.721 (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
HEI: Binance