PYTH PYTH / TREE Crypto vs SPK SPK / TREE 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 PYTH / TREESPK / TREE
📈 Performance Metrics
Start Price 0.190.14
End Price 0.560.19
Price Change % +200.56%+34.73%
Period High 0.690.29
Period Low 0.190.14
Price Range % 274.8%105.5%
🏆 All-Time Records
All-Time High 0.690.29
Days Since ATH 37 days107 days
Distance From ATH % -19.8%-34.4%
All-Time Low 0.190.14
Distance From ATL % +200.6%+34.7%
New ATHs Hit 25 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.40%5.13%
Biggest Jump (1 Day) % +0.21+0.05
Biggest Drop (1 Day) % -0.07-0.05
Days Above Avg % 68.4%44.4%
Extreme Moves days 3 (2.6%)9 (7.8%)
Stability Score % 0.0%0.0%
Trend Strength % 57.8%50.9%
Recent Momentum (10-day) % +1.23%-8.95%
📊 Statistical Measures
Average Price 0.500.21
Median Price 0.540.21
Price Std Deviation 0.120.03
🚀 Returns & Growth
CAGR % +3,090.33%+155.50%
Annualized Return % +3,090.33%+155.50%
Total Return % +200.56%+34.73%
⚠️ Risk & Volatility
Daily Volatility % 6.93%8.07%
Annualized Volatility % 132.44%154.12%
Max Drawdown % -26.43%-46.80%
Sharpe Ratio 0.1670.070
Sortino Ratio 0.2630.086
Calmar Ratio 116.9383.322
Ulcer Index 12.8228.22
📅 Daily Performance
Win Rate % 58.3%50.9%
Positive Days 6759
Negative Days 4857
Best Day % +56.29%+35.48%
Worst Day % -14.23%-23.21%
Avg Gain (Up Days) % +4.21%+5.67%
Avg Loss (Down Days) % -3.08%-4.71%
Profit Factor 1.911.25
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.9081.245
Expectancy % +1.17%+0.57%
Kelly Criterion % 9.01%2.13%
📅 Weekly Performance
Best Week % +43.16%+41.54%
Worst Week % -12.52%-33.89%
Weekly Win Rate % 61.1%33.3%
📆 Monthly Performance
Best Month % +144.64%+38.97%
Worst Month % -14.69%-15.14%
Monthly Win Rate % 66.7%33.3%
🔧 Technical Indicators
RSI (14-period) 54.2426.76
Price vs 50-Day MA % -5.85%-11.27%

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): -0.172 (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

PYTH: Kraken
SPK: Kraken