PYTH PYTH / DMAIL Crypto vs MODE MODE / DMAIL 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 / DMAILMODE / DMAIL
📈 Performance Metrics
Start Price 1.520.09
End Price 10.450.10
Price Change % +589.32%+11.75%
Period High 10.550.24
Period Low 0.630.02
Price Range % 1,563.2%1,296.9%
🏆 All-Time Records
All-Time High 10.550.24
Days Since ATH 3 days294 days
Distance From ATH % -0.9%-58.8%
All-Time Low 0.630.02
Distance From ATL % +1,547.5%+475.0%
New ATHs Hit 29 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.02%7.38%
Biggest Jump (1 Day) % +4.85+0.04
Biggest Drop (1 Day) % -1.31-0.04
Days Above Avg % 23.8%29.3%
Extreme Moves days 8 (2.3%)22 (6.4%)
Stability Score % 0.0%0.0%
Trend Strength % 57.7%52.0%
Recent Momentum (10-day) % +43.01%+37.12%
📊 Statistical Measures
Average Price 2.500.07
Median Price 1.690.05
Price Std Deviation 1.950.06
🚀 Returns & Growth
CAGR % +680.18%+12.51%
Annualized Return % +680.18%+12.51%
Total Return % +589.32%+11.75%
⚠️ Risk & Volatility
Daily Volatility % 10.29%10.11%
Annualized Volatility % 196.51%193.21%
Max Drawdown % -73.50%-92.84%
Sharpe Ratio 0.0970.053
Sortino Ratio 0.1230.057
Calmar Ratio 9.2540.135
Ulcer Index 33.2072.60
📅 Daily Performance
Win Rate % 57.7%52.0%
Positive Days 198179
Negative Days 145165
Best Day % +129.10%+47.68%
Worst Day % -33.36%-35.93%
Avg Gain (Up Days) % +6.10%+7.69%
Avg Loss (Down Days) % -5.98%-7.22%
Profit Factor 1.391.16
🔥 Streaks & Patterns
Longest Win Streak days 911
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.3931.156
Expectancy % +0.99%+0.54%
Kelly Criterion % 2.72%0.97%
📅 Weekly Performance
Best Week % +64.64%+66.33%
Worst Week % -40.25%-51.36%
Weekly Win Rate % 57.7%46.2%
📆 Monthly Performance
Best Month % +208.20%+209.02%
Worst Month % -52.94%-63.04%
Monthly Win Rate % 61.5%53.8%
🔧 Technical Indicators
RSI (14-period) 85.9070.57
Price vs 50-Day MA % +71.69%+72.98%
Price vs 200-Day MA % +231.98%+123.42%

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): -0.011 (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
MODE: Bybit