PYTH PYTH / DMAIL Crypto vs IMX IMX / 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 / DMAILIMX / DMAIL
📈 Performance Metrics
Start Price 1.706.76
End Price 13.7358.11
Price Change % +708.40%+759.02%
Period High 13.7358.11
Period Low 0.633.01
Price Range % 2,065.3%1,827.7%
🏆 All-Time Records
All-Time High 13.7358.11
Days Since ATH 1 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 0.633.01
Distance From ATL % +2,065.3%+1,827.7%
New ATHs Hit 30 times46 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.98%5.59%
Biggest Jump (1 Day) % +4.85+7.44
Biggest Drop (1 Day) % -1.31-3.69
Days Above Avg % 24.4%26.5%
Extreme Moves days 8 (2.3%)26 (7.6%)
Stability Score % 0.0%29.0%
Trend Strength % 57.4%57.4%
Recent Momentum (10-day) % +37.50%+33.98%
📊 Statistical Measures
Average Price 2.6910.96
Median Price 1.716.64
Price Std Deviation 2.339.81
🚀 Returns & Growth
CAGR % +824.36%+886.07%
Annualized Return % +824.36%+886.07%
Total Return % +708.40%+759.02%
⚠️ Risk & Volatility
Daily Volatility % 10.31%7.79%
Annualized Volatility % 196.94%148.77%
Max Drawdown % -73.50%-67.40%
Sharpe Ratio 0.1010.120
Sortino Ratio 0.1290.117
Calmar Ratio 11.21613.146
Ulcer Index 33.2028.91
📅 Daily Performance
Win Rate % 57.6%57.4%
Positive Days 197197
Negative Days 145146
Best Day % +129.10%+24.09%
Worst Day % -33.36%-31.94%
Avg Gain (Up Days) % +6.20%+5.92%
Avg Loss (Down Days) % -5.95%-5.79%
Profit Factor 1.411.38
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.4141.381
Expectancy % +1.05%+0.94%
Kelly Criterion % 2.84%2.74%
📅 Weekly Performance
Best Week % +64.64%+51.29%
Worst Week % -40.25%-41.50%
Weekly Win Rate % 59.6%61.5%
📆 Monthly Performance
Best Month % +208.20%+141.03%
Worst Month % -52.94%-43.56%
Monthly Win Rate % 61.5%76.9%
🔧 Technical Indicators
RSI (14-period) 87.1585.65
Price vs 50-Day MA % +97.33%+91.94%
Price vs 200-Day MA % +295.99%+298.70%

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 IMX (IMX): 0.982 (Strong 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
IMX: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures