PYTH PYTH / TREE Crypto vs KERNEL KERNEL / TREE Crypto

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

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Asset PYTH / TREEKERNEL / TREE
📈 Performance Metrics
Start Price 0.190.28
End Price 0.570.68
Price Change % +207.00%+140.50%
Period High 0.690.89
Period Low 0.190.28
Price Range % 274.8%213.4%
🏆 All-Time Records
All-Time High 0.690.89
Days Since ATH 24 days32 days
Distance From ATH % -18.1%-23.3%
All-Time Low 0.190.28
Distance From ATL % +207.0%+140.5%
New ATHs Hit 25 times17 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.71%4.48%
Biggest Jump (1 Day) % +0.21+0.13
Biggest Drop (1 Day) % -0.07-0.13
Days Above Avg % 64.4%55.8%
Extreme Moves days 2 (1.9%)4 (3.9%)
Stability Score % 0.0%0.0%
Trend Strength % 58.3%52.4%
Recent Momentum (10-day) % -12.26%-4.05%
📊 Statistical Measures
Average Price 0.490.63
Median Price 0.530.65
Price Std Deviation 0.130.11
🚀 Returns & Growth
CAGR % +5,224.49%+2,141.43%
Annualized Return % +5,224.49%+2,141.43%
Total Return % +207.00%+140.50%
⚠️ Risk & Volatility
Daily Volatility % 7.31%7.14%
Annualized Volatility % 139.74%136.49%
Max Drawdown % -26.43%-31.54%
Sharpe Ratio 0.1810.153
Sortino Ratio 0.2900.205
Calmar Ratio 197.69567.898
Ulcer Index 11.5916.09
📅 Daily Performance
Win Rate % 58.3%52.4%
Positive Days 6054
Negative Days 4349
Best Day % +56.29%+39.53%
Worst Day % -14.23%-20.39%
Avg Gain (Up Days) % +4.59%+5.62%
Avg Loss (Down Days) % -3.24%-3.89%
Profit Factor 1.981.59
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 57
💹 Trading Metrics
Omega Ratio 1.9771.590
Expectancy % +1.32%+1.09%
Kelly Criterion % 8.89%5.00%
📅 Weekly Performance
Best Week % +43.16%+44.14%
Worst Week % -12.52%-9.21%
Weekly Win Rate % 64.7%58.8%
📆 Monthly Performance
Best Month % +144.64%+48.12%
Worst Month % -14.69%-14.25%
Monthly Win Rate % 66.7%66.7%
🔧 Technical Indicators
RSI (14-period) 43.9860.49
Price vs 50-Day MA % -3.63%-3.72%

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): 0.744 (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
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