PYTH PYTH / ZIG 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 / ZIGTREE / USD
📈 Performance Metrics
Start Price 1.530.68
End Price 1.160.15
Price Change % -24.17%-78.54%
Period High 1.910.68
Period Low 1.160.15
Price Range % 65.0%366.6%
🏆 All-Time Records
All-Time High 1.910.68
Days Since ATH 33 days77 days
Distance From ATH % -39.4%-78.5%
All-Time Low 1.160.15
Distance From ATL % +0.0%+0.1%
New ATHs Hit 4 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.73%5.95%
Biggest Jump (1 Day) % +0.20+0.08
Biggest Drop (1 Day) % -0.26-0.15
Days Above Avg % 58.5%41.0%
Extreme Moves days 3 (7.5%)4 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 45.0%55.8%
Recent Momentum (10-day) % -10.36%-21.84%
📊 Statistical Measures
Average Price 1.560.33
Median Price 1.630.32
Price Std Deviation 0.190.09
🚀 Returns & Growth
CAGR % -91.99%-99.93%
Annualized Return % -91.99%-99.93%
Total Return % -24.17%-78.54%
⚠️ Risk & Volatility
Daily Volatility % 5.96%7.99%
Annualized Volatility % 113.94%152.61%
Max Drawdown % -39.38%-78.57%
Sharpe Ratio -0.085-0.205
Sortino Ratio -0.071-0.181
Calmar Ratio -2.336-1.272
Ulcer Index 20.1852.87
📅 Daily Performance
Win Rate % 53.8%43.4%
Positive Days 2133
Negative Days 1843
Best Day % +12.64%+27.55%
Worst Day % -15.10%-34.10%
Avg Gain (Up Days) % +4.01%+4.58%
Avg Loss (Down Days) % -5.80%-6.45%
Profit Factor 0.810.54
🔥 Streaks & Patterns
Longest Win Streak days 33
Longest Loss Streak days 24
💹 Trading Metrics
Omega Ratio 0.8060.545
Expectancy % -0.52%-1.66%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +13.73%+15.86%
Worst Week % -7.71%-32.28%
Weekly Win Rate % 50.0%38.5%
📆 Monthly Performance
Best Month % +0.96%+-3.99%
Worst Month % -10.94%-32.42%
Monthly Win Rate % 33.3%0.0%
🔧 Technical Indicators
RSI (14-period) 40.9816.64
Price vs 50-Day MA % N/A-49.51%

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): 0.832 (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
TREE: Kraken
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