PYTH PYTH / TREE Crypto vs C98 C98 / 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 / TREEC98 / TREE
📈 Performance Metrics
Start Price 0.190.08
End Price 0.520.20
Price Change % +179.59%+161.87%
Period High 0.690.25
Period Low 0.190.08
Price Range % 274.8%229.8%
🏆 All-Time Records
All-Time High 0.690.25
Days Since ATH 16 days15 days
Distance From ATH % -25.4%-20.6%
All-Time Low 0.190.08
Distance From ATL % +179.6%+161.9%
New ATHs Hit 25 times26 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.81%4.29%
Biggest Jump (1 Day) % +0.21+0.06
Biggest Drop (1 Day) % -0.07-0.03
Days Above Avg % 61.5%39.6%
Extreme Moves days 2 (2.1%)4 (4.2%)
Stability Score % 0.0%0.0%
Trend Strength % 56.8%60.0%
Recent Momentum (10-day) % -10.29%-9.68%
📊 Statistical Measures
Average Price 0.490.17
Median Price 0.530.16
Price Std Deviation 0.130.04
🚀 Returns & Growth
CAGR % +5,095.16%+3,939.54%
Annualized Return % +5,095.16%+3,939.54%
Total Return % +179.59%+161.87%
⚠️ Risk & Volatility
Daily Volatility % 7.58%6.78%
Annualized Volatility % 144.81%129.56%
Max Drawdown % -26.43%-23.48%
Sharpe Ratio 0.1760.182
Sortino Ratio 0.2880.215
Calmar Ratio 192.801167.757
Ulcer Index 10.309.52
📅 Daily Performance
Win Rate % 56.8%60.0%
Positive Days 5457
Negative Days 4138
Best Day % +56.29%+33.94%
Worst Day % -14.23%-18.64%
Avg Gain (Up Days) % +4.81%+4.74%
Avg Loss (Down Days) % -3.26%-4.03%
Profit Factor 1.951.77
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 54
💹 Trading Metrics
Omega Ratio 1.9471.767
Expectancy % +1.33%+1.24%
Kelly Criterion % 8.49%6.47%
📅 Weekly Performance
Best Week % +43.16%+38.71%
Worst Week % -14.14%-8.89%
Weekly Win Rate % 66.7%60.0%
📆 Monthly Performance
Best Month % +144.64%+54.54%
Worst Month % -19.59%-4.32%
Monthly Win Rate % 80.0%80.0%
🔧 Technical Indicators
RSI (14-period) 18.5436.01
Price vs 50-Day MA % -11.60%-1.38%

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 C98 (C98): 0.841 (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
C98: Kraken