PYTH PYTH / SPK Crypto vs DMAIL DMAIL / SPK 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 / SPKDMAIL / SPK
📈 Performance Metrics
Start Price 2.302.35
End Price 2.850.12
Price Change % +23.75%-94.71%
Period High 3.892.56
Period Low 0.740.12
Price Range % 426.3%2,108.3%
🏆 All-Time Records
All-Time High 3.892.56
Days Since ATH 125 days131 days
Distance From ATH % -26.8%-95.1%
All-Time Low 0.740.12
Distance From ATL % +285.1%+7.2%
New ATHs Hit 16 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.70%7.32%
Biggest Jump (1 Day) % +1.92+0.30
Biggest Drop (1 Day) % -1.37-0.80
Days Above Avg % 64.2%21.9%
Extreme Moves days 5 (3.3%)7 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 60.0%54.0%
Recent Momentum (10-day) % +7.34%-39.93%
📊 Statistical Measures
Average Price 2.480.87
Median Price 2.640.57
Price Std Deviation 0.740.72
🚀 Returns & Growth
CAGR % +67.96%-99.92%
Annualized Return % +67.96%-99.92%
Total Return % +23.75%-94.71%
⚠️ Risk & Volatility
Daily Volatility % 13.03%11.21%
Annualized Volatility % 249.02%214.24%
Max Drawdown % -81.00%-95.47%
Sharpe Ratio 0.071-0.113
Sortino Ratio 0.077-0.107
Calmar Ratio 0.839-1.047
Ulcer Index 39.1371.78
📅 Daily Performance
Win Rate % 60.4%46.0%
Positive Days 9069
Negative Days 5981
Best Day % +103.53%+61.46%
Worst Day % -55.27%-50.00%
Avg Gain (Up Days) % +6.08%+6.78%
Avg Loss (Down Days) % -6.94%-8.12%
Profit Factor 1.340.71
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 49
💹 Trading Metrics
Omega Ratio 1.3370.711
Expectancy % +0.93%-1.27%
Kelly Criterion % 2.19%0.00%
📅 Weekly Performance
Best Week % +116.56%+31.53%
Worst Week % -39.18%-35.66%
Weekly Win Rate % 66.7%41.7%
📆 Monthly Performance
Best Month % +160.85%+30.36%
Worst Month % -55.73%-69.82%
Monthly Win Rate % 71.4%28.6%
🔧 Technical Indicators
RSI (14-period) 72.5823.88
Price vs 50-Day MA % +2.50%-69.16%

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 DMAIL (DMAIL): 0.341 (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
DMAIL: Bybit