PYTH PYTH / DEEP Crypto vs MDAO MDAO / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / DEEPMDAO / USD
📈 Performance Metrics
Start Price 0.780.07
End Price 1.520.01
Price Change % +95.79%-89.02%
Period High 1.640.08
Period Low 0.640.01
Price Range % 157.1%857.7%
🏆 All-Time Records
All-Time High 1.640.08
Days Since ATH 2 days319 days
Distance From ATH % -7.0%-89.6%
All-Time Low 0.640.01
Distance From ATL % +139.2%+0.0%
New ATHs Hit 5 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.26%3.08%
Biggest Jump (1 Day) % +0.80+0.01
Biggest Drop (1 Day) % -0.19-0.01
Days Above Avg % 38.2%41.2%
Extreme Moves days 2 (1.5%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 52.6%54.9%
Recent Momentum (10-day) % +26.82%-63.48%
📊 Statistical Measures
Average Price 0.950.04
Median Price 0.790.03
Price Std Deviation 0.290.02
🚀 Returns & Growth
CAGR % +515.03%-90.41%
Annualized Return % +515.03%-90.41%
Total Return % +95.79%-89.02%
⚠️ Risk & Volatility
Daily Volatility % 9.54%6.02%
Annualized Volatility % 182.18%114.94%
Max Drawdown % -35.71%-89.56%
Sharpe Ratio 0.086-0.075
Sortino Ratio 0.186-0.078
Calmar Ratio 14.421-1.009
Ulcer Index 15.9354.69
📅 Daily Performance
Win Rate % 52.6%43.1%
Positive Days 71143
Negative Days 64189
Best Day % +96.86%+44.65%
Worst Day % -11.55%-45.99%
Avg Gain (Up Days) % +4.82%+3.24%
Avg Loss (Down Days) % -3.61%-3.27%
Profit Factor 1.480.75
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 710
💹 Trading Metrics
Omega Ratio 1.4800.749
Expectancy % +0.82%-0.47%
Kelly Criterion % 4.72%0.00%
📅 Weekly Performance
Best Week % +65.71%+39.72%
Worst Week % -12.64%-45.53%
Weekly Win Rate % 71.4%28.8%
📆 Monthly Performance
Best Month % +65.54%+52.04%
Worst Month % -2.55%-56.16%
Monthly Win Rate % 66.7%23.1%
🔧 Technical Indicators
RSI (14-period) 77.751.92
Price vs 50-Day MA % +18.33%-77.23%
Price vs 200-Day MA % N/A-72.32%
💰 Volume Analysis
Avg Volume 20,864,4211,437,546
Total Volume 2,837,561,269495,953,439

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 MDAO (MDAO): 0.205 (Weak)

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
MDAO: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures