SPK SPK / MOG Crypto vs PYTH PYTH / MOG Crypto

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

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Asset SPK / MOGPYTH / MOG
📈 Performance Metrics
Start Price 50,430.44206,287.10
End Price 117,792.42282,811.64
Price Change % +133.57%+37.10%
Period High 118,808.35418,913.04
Period Low 16,894.8362,758.98
Price Range % 603.2%567.5%
🏆 All-Time Records
All-Time High 118,808.35418,913.04
Days Since ATH 1 days195 days
Distance From ATH % -0.9%-32.5%
All-Time Low 16,894.8362,758.98
Distance From ATL % +597.2%+350.6%
New ATHs Hit 3 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.90%5.04%
Biggest Jump (1 Day) % +61,337.77+123,936.39
Biggest Drop (1 Day) % -41,568.34-64,854.22
Days Above Avg % 63.6%42.7%
Extreme Moves days 4 (3.3%)10 (2.9%)
Stability Score % 100.0%100.0%
Trend Strength % 45.0%53.9%
Recent Momentum (10-day) % +36.34%+26.81%
📊 Statistical Measures
Average Price 62,772.82193,373.67
Median Price 67,492.04178,647.50
Price Std Deviation 21,115.8180,706.46
🚀 Returns & Growth
CAGR % +1,220.15%+39.90%
Annualized Return % +1,220.15%+39.90%
Total Return % +133.57%+37.10%
⚠️ Risk & Volatility
Daily Volatility % 15.37%8.66%
Annualized Volatility % 293.62%165.54%
Max Drawdown % -70.97%-85.02%
Sharpe Ratio 0.1060.047
Sortino Ratio 0.1900.058
Calmar Ratio 17.1940.469
Ulcer Index 40.5249.79
📅 Daily Performance
Win Rate % 45.0%53.9%
Positive Days 54185
Negative Days 66158
Best Day % +111.29%+103.46%
Worst Day % -35.70%-25.51%
Avg Gain (Up Days) % +11.09%+5.10%
Avg Loss (Down Days) % -6.12%-5.08%
Profit Factor 1.481.18
🔥 Streaks & Patterns
Longest Win Streak days 510
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.4841.175
Expectancy % +1.63%+0.41%
Kelly Criterion % 2.40%1.58%
📅 Weekly Performance
Best Week % +49.29%+90.32%
Worst Week % -48.79%-41.67%
Weekly Win Rate % 52.6%65.4%
📆 Monthly Performance
Best Month % +85.79%+146.78%
Worst Month % -16.67%-47.36%
Monthly Win Rate % 33.3%46.2%
🔧 Technical Indicators
RSI (14-period) 83.7175.04
Price vs 50-Day MA % +61.87%+36.19%
Price vs 200-Day MA % N/A+68.96%
💰 Volume Analysis
Avg Volume 1,669,511,723,8672,037,821,202,461
Total Volume 202,010,918,587,880701,010,493,646,433

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): 0.513 (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

SPK: Kraken
PYTH: Kraken
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