PYTH PYTH / MDAO Crypto vs MODE MODE / MDAO Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / MDAOMODE / MDAO
📈 Performance Metrics
Start Price 7.490.37
End Price 12.890.14
Price Change % +71.98%-62.02%
Period High 13.140.87
Period Low 2.880.03
Price Range % 356.3%2,580.4%
🏆 All-Time Records
All-Time High 13.140.87
Days Since ATH 1 days328 days
Distance From ATH % -2.0%-84.0%
All-Time Low 2.880.03
Distance From ATL % +347.4%+328.7%
New ATHs Hit 9 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.89%7.20%
Biggest Jump (1 Day) % +3.03+0.19
Biggest Drop (1 Day) % -6.09-0.15
Days Above Avg % 44.5%25.9%
Extreme Moves days 13 (3.8%)18 (5.3%)
Stability Score % 0.0%0.0%
Trend Strength % 54.1%51.6%
Recent Momentum (10-day) % +10.28%+39.10%
📊 Statistical Measures
Average Price 5.430.23
Median Price 5.270.14
Price Std Deviation 1.530.22
🚀 Returns & Growth
CAGR % +79.60%-64.74%
Annualized Return % +79.60%-64.74%
Total Return % +71.98%-62.02%
⚠️ Risk & Volatility
Daily Volatility % 8.73%10.91%
Annualized Volatility % 166.72%208.45%
Max Drawdown % -66.53%-96.27%
Sharpe Ratio 0.0620.027
Sortino Ratio 0.0670.031
Calmar Ratio 1.196-0.672
Ulcer Index 41.0978.00
📅 Daily Performance
Win Rate % 54.1%48.4%
Positive Days 183164
Negative Days 155175
Best Day % +58.79%+59.08%
Worst Day % -47.91%-46.39%
Avg Gain (Up Days) % +5.71%+8.21%
Avg Loss (Down Days) % -5.56%-7.13%
Profit Factor 1.211.08
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.2111.080
Expectancy % +0.54%+0.29%
Kelly Criterion % 1.70%0.50%
📅 Weekly Performance
Best Week % +56.09%+66.36%
Worst Week % -21.65%-53.73%
Weekly Win Rate % 58.8%49.0%
📆 Monthly Performance
Best Month % +83.05%+157.96%
Worst Month % -28.23%-59.45%
Monthly Win Rate % 53.8%46.2%
🔧 Technical Indicators
RSI (14-period) 60.4368.38
Price vs 50-Day MA % +107.65%+141.47%
Price vs 200-Day MA % +151.94%+46.94%

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 MODE (MODE): 0.406 (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
MODE: Bybit