PYTH PYTH / SPK Crypto vs TREE TREE / USD 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 / SPKTREE / USD
📈 Performance Metrics
Start Price 2.300.68
End Price 2.750.12
Price Change % +19.30%-82.50%
Period High 3.890.68
Period Low 0.740.12
Price Range % 426.3%471.5%
🏆 All-Time Records
All-Time High 3.890.68
Days Since ATH 128 days114 days
Distance From ATH % -29.5%-82.5%
All-Time Low 0.740.12
Distance From ATL % +271.2%+0.0%
New ATHs Hit 16 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.60%5.58%
Biggest Jump (1 Day) % +1.92+0.08
Biggest Drop (1 Day) % -1.37-0.15
Days Above Avg % 63.6%52.2%
Extreme Moves days 5 (3.3%)6 (5.3%)
Stability Score % 0.0%0.0%
Trend Strength % 58.8%55.3%
Recent Momentum (10-day) % +10.34%-9.42%
📊 Statistical Measures
Average Price 2.490.27
Median Price 2.640.29
Price Std Deviation 0.740.12
🚀 Returns & Growth
CAGR % +52.36%-99.62%
Annualized Return % +52.36%-99.62%
Total Return % +19.30%-82.50%
⚠️ Risk & Volatility
Daily Volatility % 12.91%7.05%
Annualized Volatility % 246.63%134.75%
Max Drawdown % -81.00%-82.50%
Sharpe Ratio 0.068-0.178
Sortino Ratio 0.076-0.159
Calmar Ratio 0.646-1.208
Ulcer Index 38.9662.73
📅 Daily Performance
Win Rate % 59.2%44.2%
Positive Days 9050
Negative Days 6263
Best Day % +103.53%+27.55%
Worst Day % -55.27%-34.10%
Avg Gain (Up Days) % +6.08%+4.22%
Avg Loss (Down Days) % -6.66%-5.62%
Profit Factor 1.330.60
🔥 Streaks & Patterns
Longest Win Streak days 83
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 1.3250.596
Expectancy % +0.88%-1.27%
Kelly Criterion % 2.18%0.00%
📅 Weekly Performance
Best Week % +116.56%+15.86%
Worst Week % -39.18%-32.28%
Weekly Win Rate % 66.7%33.3%
📆 Monthly Performance
Best Month % +160.85%+-0.50%
Worst Month % -55.73%-32.42%
Monthly Win Rate % 71.4%0.0%
🔧 Technical Indicators
RSI (14-period) 70.3533.93
Price vs 50-Day MA % -0.62%-25.64%

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 TREE (TREE): -0.586 (Moderate negative)

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
TREE: Kraken
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