SPK SPK / DMAIL Crypto vs PYTH PYTH / USD Crypto

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

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Asset SPK / DMAILPYTH / USD
📈 Performance Metrics
Start Price 0.430.50
End Price 4.170.08
Price Change % +879.79%-84.83%
Period High 4.500.53
Period Low 0.390.07
Price Range % 1,052.4%632.6%
🏆 All-Time Records
All-Time High 4.500.53
Days Since ATH 3 days340 days
Distance From ATH % -7.3%-85.7%
All-Time Low 0.390.07
Distance From ATL % +968.5%+4.7%
New ATHs Hit 22 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.14%4.58%
Biggest Jump (1 Day) % +1.11+0.11
Biggest Drop (1 Day) % -0.84-0.09
Days Above Avg % 48.6%29.1%
Extreme Moves days 6 (4.3%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.2%52.2%
Recent Momentum (10-day) % +46.42%-16.21%
📊 Statistical Measures
Average Price 1.700.19
Median Price 1.680.15
Price Std Deviation 0.960.10
🚀 Returns & Growth
CAGR % +36,687.23%-86.56%
Annualized Return % +36,687.23%-86.56%
Total Return % +879.79%-84.83%
⚠️ Risk & Volatility
Daily Volatility % 13.72%7.99%
Annualized Volatility % 262.15%152.73%
Max Drawdown % -46.98%-86.35%
Sharpe Ratio 0.174-0.035
Sortino Ratio 0.292-0.044
Calmar Ratio 780.945-1.002
Ulcer Index 22.4167.81
📅 Daily Performance
Win Rate % 53.2%47.7%
Positive Days 75163
Negative Days 66179
Best Day % +100.00%+99.34%
Worst Day % -38.06%-32.57%
Avg Gain (Up Days) % +9.73%+4.60%
Avg Loss (Down Days) % -5.94%-4.73%
Profit Factor 1.860.89
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.8610.887
Expectancy % +2.39%-0.28%
Kelly Criterion % 4.14%0.00%
📅 Weekly Performance
Best Week % +55.43%+65.86%
Worst Week % -23.97%-27.08%
Weekly Win Rate % 50.0%50.0%
📆 Monthly Performance
Best Month % +231.35%+65.32%
Worst Month % -23.29%-31.62%
Monthly Win Rate % 66.7%30.8%
🔧 Technical Indicators
RSI (14-period) 80.7832.04
Price vs 50-Day MA % +76.49%-34.77%
Price vs 200-Day MA % N/A-41.51%

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).

SPK (SPK) vs PYTH (PYTH): -0.174 (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

SPK: Kraken
PYTH: Kraken
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