MDAO MDAO / PYTH Crypto vs ONT ONT / PYTH 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 MDAO / PYTHONT / PYTH
📈 Performance Metrics
Start Price 0.130.63
End Price 0.081.04
Price Change % -42.16%+64.17%
Period High 0.351.75
Period Low 0.080.56
Price Range % 356.3%211.4%
🏆 All-Time Records
All-Time High 0.351.75
Days Since ATH 112 days88 days
Distance From ATH % -77.6%-40.5%
All-Time Low 0.080.56
Distance From ATL % +2.0%+85.3%
New ATHs Hit 25 times23 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.48%2.82%
Biggest Jump (1 Day) % +0.09+0.47
Biggest Drop (1 Day) % -0.10-0.72
Days Above Avg % 43.8%52.6%
Extreme Moves days 13 (4.0%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 53.3%55.1%
Recent Momentum (10-day) % -11.36%+5.09%
📊 Statistical Measures
Average Price 0.200.96
Median Price 0.190.97
Price Std Deviation 0.050.18
🚀 Returns & Growth
CAGR % -46.35%+69.47%
Annualized Return % -46.35%+69.47%
Total Return % -42.16%+64.17%
⚠️ Risk & Volatility
Daily Volatility % 9.52%5.02%
Annualized Volatility % 181.93%95.92%
Max Drawdown % -78.08%-60.47%
Sharpe Ratio 0.0250.057
Sortino Ratio 0.0310.053
Calmar Ratio -0.5941.149
Ulcer Index 27.3626.72
📅 Daily Performance
Win Rate % 46.7%55.1%
Positive Days 150189
Negative Days 171154
Best Day % +91.99%+36.54%
Worst Day % -37.02%-51.07%
Avg Gain (Up Days) % +6.38%+2.74%
Avg Loss (Down Days) % -5.16%-2.72%
Profit Factor 1.091.24
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 96
💹 Trading Metrics
Omega Ratio 1.0861.236
Expectancy % +0.24%+0.29%
Kelly Criterion % 0.71%3.87%
📅 Weekly Performance
Best Week % +27.63%+13.45%
Worst Week % -35.93%-54.37%
Weekly Win Rate % 40.8%57.7%
📆 Monthly Performance
Best Month % +39.11%+21.04%
Worst Month % -45.37%-32.15%
Monthly Win Rate % 50.0%69.2%
🔧 Technical Indicators
RSI (14-period) 56.8472.13
Price vs 50-Day MA % -58.79%+14.55%
Price vs 200-Day MA % -63.63%+0.75%
💰 Volume Analysis
Avg Volume 11,518,57170,326,913
Total Volume 3,708,979,77524,192,458,125

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).

MDAO (MDAO) vs ONT (ONT): 0.473 (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

MDAO: Bybit
ONT: Binance