SPK SPK / MDT Crypto vs PYTH PYTH / MDT Crypto

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

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Asset SPK / MDTPYTH / MDT
📈 Performance Metrics
Start Price 2.698.63
End Price 2.165.49
Price Change % -19.66%-36.34%
Period High 10.788.85
Period Low 1.783.71
Price Range % 504.2%138.4%
🏆 All-Time Records
All-Time High 10.788.85
Days Since ATH 110 days74 days
Distance From ATH % -80.0%-38.0%
All-Time Low 1.783.71
Distance From ATL % +21.0%+47.9%
New ATHs Hit 5 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 9.26%4.25%
Biggest Jump (1 Day) % +5.82+4.58
Biggest Drop (1 Day) % -7.27-3.97
Days Above Avg % 31.3%49.9%
Extreme Moves days 5 (3.5%)9 (2.6%)
Stability Score % 0.0%0.0%
Trend Strength % 52.4%46.8%
Recent Momentum (10-day) % -1.29%-6.68%
📊 Statistical Measures
Average Price 2.686.00
Median Price 2.425.97
Price Std Deviation 0.921.06
🚀 Returns & Growth
CAGR % -42.81%-38.24%
Annualized Return % -42.81%-38.24%
Total Return % -19.66%-36.34%
⚠️ Risk & Volatility
Daily Volatility % 15.05%8.61%
Annualized Volatility % 287.52%164.48%
Max Drawdown % -83.45%-56.96%
Sharpe Ratio 0.0590.023
Sortino Ratio 0.0820.027
Calmar Ratio -0.513-0.671
Ulcer Index 67.7933.20
📅 Daily Performance
Win Rate % 47.6%53.2%
Positive Days 68182
Negative Days 75160
Best Day % +117.56%+107.09%
Worst Day % -67.44%-49.77%
Avg Gain (Up Days) % +8.43%+4.25%
Avg Loss (Down Days) % -5.95%-4.41%
Profit Factor 1.281.10
🔥 Streaks & Patterns
Longest Win Streak days 412
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.2831.096
Expectancy % +0.88%+0.20%
Kelly Criterion % 1.76%1.06%
📅 Weekly Performance
Best Week % +31.48%+59.10%
Worst Week % -29.41%-48.46%
Weekly Win Rate % 43.5%57.7%
📆 Monthly Performance
Best Month % +19.50%+77.71%
Worst Month % -31.87%-47.10%
Monthly Win Rate % 42.9%53.8%
🔧 Technical Indicators
RSI (14-period) 37.7433.57
Price vs 50-Day MA % -4.19%-12.86%
Price vs 200-Day MA % N/A-7.05%

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): -0.153 (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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