PYTH PYTH / OG Crypto vs SPK SPK / OG Crypto

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

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Asset PYTH / OGSPK / OG
📈 Performance Metrics
Start Price 0.090.01
End Price 0.010.00
Price Change % -93.90%-80.31%
Period High 0.090.04
Period Low 0.010.00
Price Range % 1,665.9%1,781.6%
🏆 All-Time Records
All-Time High 0.090.04
Days Since ATH 332 days113 days
Distance From ATH % -94.3%-94.7%
All-Time Low 0.010.00
Distance From ATL % +1.5%+0.6%
New ATHs Hit 3 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.08%11.74%
Biggest Jump (1 Day) % +0.01+0.02
Biggest Drop (1 Day) % -0.01-0.01
Days Above Avg % 39.2%36.1%
Extreme Moves days 10 (2.9%)6 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 52.2%58.2%
Recent Momentum (10-day) % +2.76%+4.17%
📊 Statistical Measures
Average Price 0.030.01
Median Price 0.030.00
Price Std Deviation 0.020.01
🚀 Returns & Growth
CAGR % -94.90%-98.28%
Annualized Return % -94.90%-98.28%
Total Return % -93.90%-80.31%
⚠️ Risk & Volatility
Daily Volatility % 8.68%14.61%
Annualized Volatility % 165.87%279.16%
Max Drawdown % -94.34%-94.69%
Sharpe Ratio -0.057-0.017
Sortino Ratio -0.068-0.025
Calmar Ratio -1.006-1.038
Ulcer Index 67.9276.59
📅 Daily Performance
Win Rate % 47.8%41.8%
Positive Days 16461
Negative Days 17985
Best Day % +101.76%+112.40%
Worst Day % -22.36%-39.05%
Avg Gain (Up Days) % +4.79%+9.89%
Avg Loss (Down Days) % -5.33%-7.51%
Profit Factor 0.820.94
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 710
💹 Trading Metrics
Omega Ratio 0.8230.944
Expectancy % -0.49%-0.24%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +69.69%+30.46%
Worst Week % -50.33%-57.81%
Weekly Win Rate % 42.3%21.7%
📆 Monthly Performance
Best Month % +-0.24%+97.91%
Worst Month % -38.69%-73.98%
Monthly Win Rate % 0.0%14.3%
🔧 Technical Indicators
RSI (14-period) 51.6048.83
Price vs 50-Day MA % -27.66%-23.04%
Price vs 200-Day MA % -70.46%N/A

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 SPK (SPK): 0.695 (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
SPK: Kraken
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