AI AI / MDAO Crypto vs PYTH PYTH / 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 AI / MDAOPYTH / MDAO
📈 Performance Metrics
Start Price 6.805.91
End Price 4.127.00
Price Change % -39.45%+18.48%
Period High 13.5512.71
Period Low 2.372.88
Price Range % 471.2%341.4%
🏆 All-Time Records
All-Time High 13.5512.71
Days Since ATH 289 days6 days
Distance From ATH % -69.6%-45.0%
All-Time Low 2.372.88
Distance From ATL % +73.5%+143.0%
New ATHs Hit 12 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.84%5.62%
Biggest Jump (1 Day) % +2.71+2.88
Biggest Drop (1 Day) % -3.87-6.09
Days Above Avg % 42.2%47.1%
Extreme Moves days 16 (4.7%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 47.2%54.2%
Recent Momentum (10-day) % +23.02%+47.05%
📊 Statistical Measures
Average Price 6.485.38
Median Price 6.055.28
Price Std Deviation 2.591.36
🚀 Returns & Growth
CAGR % -41.37%+19.78%
Annualized Return % -41.37%+19.78%
Total Return % -39.45%+18.48%
⚠️ Risk & Volatility
Daily Volatility % 8.23%8.44%
Annualized Volatility % 157.17%161.33%
Max Drawdown % -82.49%-66.53%
Sharpe Ratio 0.0250.048
Sortino Ratio 0.0250.051
Calmar Ratio -0.5020.297
Ulcer Index 54.9740.63
📅 Daily Performance
Win Rate % 52.8%54.2%
Positive Days 181186
Negative Days 162157
Best Day % +43.59%+58.79%
Worst Day % -49.09%-47.91%
Avg Gain (Up Days) % +5.76%+5.39%
Avg Loss (Down Days) % -6.00%-5.50%
Profit Factor 1.071.16
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 1.0741.161
Expectancy % +0.21%+0.41%
Kelly Criterion % 0.60%1.37%
📅 Weekly Performance
Best Week % +36.11%+37.96%
Worst Week % -19.49%-21.65%
Weekly Win Rate % 59.6%59.6%
📆 Monthly Performance
Best Month % +96.90%+44.37%
Worst Month % -29.98%-28.23%
Monthly Win Rate % 30.8%46.2%
🔧 Technical Indicators
RSI (14-period) 56.2763.19
Price vs 50-Day MA % +7.62%+33.34%
Price vs 200-Day MA % -16.32%+41.87%
💰 Volume Analysis
Avg Volume 691,141,92258,544,439
Total Volume 237,752,821,01620,139,287,134

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).

AI (AI) vs PYTH (PYTH): 0.670 (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

AI: Binance
PYTH: Kraken