PYTH PYTH / TREE Crypto vs QUICK QUICK / 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 / TREEQUICK / TREE
📈 Performance Metrics
Start Price 0.190.03
End Price 0.690.11
Price Change % +274.78%+250.95%
Period High 0.690.11
Period Low 0.190.03
Price Range % 274.8%251.0%
🏆 All-Time Records
All-Time High 0.690.11
Days Since ATH 1 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 0.190.03
Distance From ATL % +274.8%+251.0%
New ATHs Hit 25 times30 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.97%4.05%
Biggest Jump (1 Day) % +0.21+0.02
Biggest Drop (1 Day) % -0.07-0.02
Days Above Avg % 60.5%49.4%
Extreme Moves days 2 (2.5%)5 (6.3%)
Stability Score % 0.0%0.0%
Trend Strength % 61.3%65.0%
Recent Momentum (10-day) % +9.19%+22.53%
📊 Statistical Measures
Average Price 0.470.08
Median Price 0.510.07
Price Std Deviation 0.130.02
🚀 Returns & Growth
CAGR % +41,379.19%+30,640.09%
Annualized Return % +41,379.19%+30,640.09%
Total Return % +274.78%+250.95%
⚠️ Risk & Volatility
Daily Volatility % 7.97%6.08%
Annualized Volatility % 152.25%116.21%
Max Drawdown % -26.43%-23.32%
Sharpe Ratio 0.2420.290
Sortino Ratio 0.4160.295
Calmar Ratio 1,565.7891,313.720
Ulcer Index 9.378.66
📅 Daily Performance
Win Rate % 62.0%65.0%
Positive Days 4952
Negative Days 3028
Best Day % +56.29%+24.09%
Worst Day % -14.23%-19.59%
Avg Gain (Up Days) % +5.12%+4.70%
Avg Loss (Down Days) % -3.22%-3.68%
Profit Factor 2.602.37
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 2.5982.370
Expectancy % +1.95%+1.77%
Kelly Criterion % 11.84%10.20%
📅 Weekly Performance
Best Week % +43.16%+35.88%
Worst Week % -7.91%-8.78%
Weekly Win Rate % 76.9%69.2%
📆 Monthly Performance
Best Month % +144.64%+87.24%
Worst Month % 7.09%2.82%
Monthly Win Rate % 100.0%100.0%
🔧 Technical Indicators
RSI (14-period) 73.2580.67
Price vs 50-Day MA % +23.97%+36.28%

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 QUICK (QUICK): 0.863 (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
QUICK: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures