PYTH PYTH / TRAC Crypto vs KERNEL KERNEL / TRAC Crypto

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

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Asset PYTH / TRACKERNEL / TRAC
📈 Performance Metrics
Start Price 0.490.91
End Price 0.120.14
Price Change % -76.17%-84.74%
Period High 0.610.91
Period Low 0.120.14
Price Range % 415.5%555.5%
🏆 All-Time Records
All-Time High 0.610.91
Days Since ATH 75 days212 days
Distance From ATH % -80.6%-84.7%
All-Time Low 0.120.14
Distance From ATL % +0.0%+0.0%
New ATHs Hit 5 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.39%5.62%
Biggest Jump (1 Day) % +0.29+0.08
Biggest Drop (1 Day) % -0.15-0.28
Days Above Avg % 54.9%48.8%
Extreme Moves days 10 (2.9%)6 (2.8%)
Stability Score % 0.0%0.0%
Trend Strength % 49.9%52.8%
Recent Momentum (10-day) % -11.90%-5.74%
📊 Statistical Measures
Average Price 0.360.40
Median Price 0.380.40
Price Std Deviation 0.100.14
🚀 Returns & Growth
CAGR % -78.26%-96.07%
Annualized Return % -78.26%-96.07%
Total Return % -76.17%-84.74%
⚠️ Risk & Volatility
Daily Volatility % 7.87%7.61%
Annualized Volatility % 150.38%145.43%
Max Drawdown % -80.60%-84.74%
Sharpe Ratio -0.018-0.072
Sortino Ratio -0.021-0.065
Calmar Ratio -0.971-1.134
Ulcer Index 38.6858.23
📅 Daily Performance
Win Rate % 50.1%47.2%
Positive Days 172100
Negative Days 171112
Best Day % +97.56%+20.96%
Worst Day % -44.40%-52.21%
Avg Gain (Up Days) % +4.19%+4.99%
Avg Loss (Down Days) % -4.50%-5.50%
Profit Factor 0.940.81
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 0.9360.810
Expectancy % -0.14%-0.55%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +84.84%+42.44%
Worst Week % -20.11%-37.61%
Weekly Win Rate % 51.9%53.1%
📆 Monthly Performance
Best Month % +112.15%+28.45%
Worst Month % -27.31%-49.18%
Monthly Win Rate % 38.5%33.3%
🔧 Technical Indicators
RSI (14-period) 21.1130.58
Price vs 50-Day MA % -49.95%-51.95%
Price vs 200-Day MA % -62.29%-64.09%

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 KERNEL (KERNEL): 0.792 (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

PYTH: Kraken
KERNEL: Kraken