SPK SPK / MOG Crypto vs FORTH FORTH / MOG 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 SPK / MOGFORTH / MOG

📈 Performance Metrics

Start Price 50,430.441,721,003.13

End Price 92,307.695,821,755.34

Price Change % +83.04%+238.28%

Period High 118,808.359,778,481.01

Period Low 16,894.831,274,216.73

Price Range % 603.2%667.4%

🏆 All-Time Records

All-Time High 118,808.359,778,481.01

Days Since ATH 27 days219 days

Distance From ATH % -22.3%-40.5%

All-Time Low 16,894.831,274,216.73

Distance From ATL % +446.4%+356.9%

New ATHs Hit 3 times24 times

📌 Easy-to-Understand Stats

Avg Daily Change % 7.17%6.27%

Biggest Jump (1 Day) % +61,337.77+3,910,419.79

Biggest Drop (1 Day) % -41,568.34-2,806,734.87

Days Above Avg % 53.7%40.4%

Extreme Moves days 5 (3.4%)12 (3.5%)

Stability Score % 100.0%100.0%

Trend Strength % 44.5%54.5%

Recent Momentum (10-day) % -4.72%-7.28%

📊 Statistical Measures

Average Price 69,120.913,648,692.96

Median Price 70,564.563,054,064.96

Price Std Deviation 23,731.411,584,893.27

🚀 Returns & Growth

CAGR % +353.28%+265.78%

Annualized Return % +353.28%+265.78%

Total Return % +83.04%+238.28%

⚠️ Risk & Volatility

Daily Volatility % 14.20%8.92%

Annualized Volatility % 271.25%170.39%

Max Drawdown % -70.97%-86.19%

Sharpe Ratio 0.0850.081

Sortino Ratio 0.1460.093

Calmar Ratio 4.9783.084

Ulcer Index 37.5353.71

📅 Daily Performance

Win Rate % 44.5%54.5%

Positive Days 65187

Negative Days 81156

Best Day % +111.29%+70.69%

Worst Day % -35.70%-29.73%

Avg Gain (Up Days) % +10.04%+6.14%

Avg Loss (Down Days) % -5.88%-5.76%

Profit Factor 1.371.28

🔥 Streaks & Patterns

Longest Win Streak days 510

Longest Loss Streak days 66

💹 Trading Metrics

Omega Ratio 1.3691.277

Expectancy % +1.21%+0.73%

Kelly Criterion % 2.04%2.05%

📅 Weekly Performance

Best Week % +44.33%+58.10%

Worst Week % -48.79%-41.77%

Weekly Win Rate % 47.8%59.6%

📆 Monthly Performance

Best Month % +85.79%+69.53%

Worst Month % -16.67%-43.48%

Monthly Win Rate % 28.6%61.5%

🔧 Technical Indicators

RSI (14-period) 37.9345.21

Price vs 50-Day MA % +4.64%+15.11%

Price vs 200-Day MA % N/A+80.48%

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 FORTH (FORTH):	0.727 (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

SPK: Kraken
FORTH: Kraken