PYTH PYTH / TREE Crypto vs QI QI / 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 / TREEQI / TREE
📈 Performance Metrics
Start Price 0.190.01
End Price 0.650.03
Price Change % +249.65%+106.01%
Period High 0.690.03
Period Low 0.190.01
Price Range % 274.8%127.9%
🏆 All-Time Records
All-Time High 0.690.03
Days Since ATH 5 days18 days
Distance From ATH % -6.7%-9.6%
All-Time Low 0.190.01
Distance From ATL % +249.6%+106.0%
New ATHs Hit 25 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.91%5.48%
Biggest Jump (1 Day) % +0.21+0.00
Biggest Drop (1 Day) % -0.070.00
Days Above Avg % 60.0%44.7%
Extreme Moves days 2 (2.4%)7 (8.3%)
Stability Score % 0.0%0.0%
Trend Strength % 60.7%58.3%
Recent Momentum (10-day) % +4.63%-5.09%
📊 Statistical Measures
Average Price 0.480.02
Median Price 0.520.02
Price Std Deviation 0.140.01
🚀 Returns & Growth
CAGR % +22,925.82%+2,211.77%
Annualized Return % +22,925.82%+2,211.77%
Total Return % +249.65%+106.01%
⚠️ Risk & Volatility
Daily Volatility % 7.84%8.97%
Annualized Volatility % 149.85%171.41%
Max Drawdown % -26.43%-34.66%
Sharpe Ratio 0.2240.140
Sortino Ratio 0.3790.149
Calmar Ratio 867.51363.813
Ulcer Index 9.2511.90
📅 Daily Performance
Win Rate % 61.4%59.0%
Positive Days 5149
Negative Days 3234
Best Day % +56.29%+35.83%
Worst Day % -14.23%-21.60%
Avg Gain (Up Days) % +4.97%+6.39%
Avg Loss (Down Days) % -3.31%-6.11%
Profit Factor 2.391.51
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 54
💹 Trading Metrics
Omega Ratio 2.3951.507
Expectancy % +1.78%+1.27%
Kelly Criterion % 10.81%3.25%
📅 Weekly Performance
Best Week % +43.16%+37.98%
Worst Week % -7.91%-10.19%
Weekly Win Rate % 78.6%64.3%
📆 Monthly Performance
Best Month % +144.64%+52.71%
Worst Month % 0.56%-3.57%
Monthly Win Rate % 100.0%80.0%
🔧 Technical Indicators
RSI (14-period) 56.3839.76
Price vs 50-Day MA % +14.25%+4.22%

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 QI (QI): 0.847 (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
QI: Kraken
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