PYTH PYTH / STREAM 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.

Settings

🤖 AI Analysis

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / STREAMTREE / USD

📈 Performance Metrics

Start Price 2.710.68

End Price 4.470.16

Price Change % +65.12%-77.20%

Period High 10.640.68

Period Low 0.690.15

Price Range % 1,449.7%366.6%

🏆 All-Time Records

All-Time High 10.640.68

Days Since ATH 164 days84 days

Distance From ATH % -58.0%-77.2%

All-Time Low 0.690.15

Distance From ATL % +550.8%+6.4%

New ATHs Hit 31 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.52%5.95%

Biggest Jump (1 Day) % +2.28+0.08

Biggest Drop (1 Day) % -1.74-0.15

Days Above Avg % 35.9%54.1%

Extreme Moves days 13 (4.2%)4 (4.8%)

Stability Score % 0.0%0.0%

Trend Strength % 51.3%54.8%

Recent Momentum (10-day) % +51.95%-36.61%

📊 Statistical Measures

Average Price 3.730.32

Median Price 2.920.32

Price Std Deviation 2.080.10

🚀 Returns & Growth

CAGR % +81.18%-99.84%

Annualized Return % +81.18%-99.84%

Total Return % +65.12%-77.20%

⚠️ Risk & Volatility

Daily Volatility % 10.56%7.92%

Annualized Volatility % 201.66%151.36%

Max Drawdown % -93.55%-78.57%

Sharpe Ratio 0.062-0.178

Sortino Ratio 0.078-0.159

Calmar Ratio 0.868-1.271

Ulcer Index 60.8155.24

📅 Daily Performance

Win Rate % 51.5%44.6%

Positive Days 15837

Negative Days 14946

Best Day % +96.44%+27.55%

Worst Day % -34.50%-34.10%

Avg Gain (Up Days) % +7.07%+4.76%

Avg Loss (Down Days) % -6.14%-6.41%

Profit Factor 1.220.60

🔥 Streaks & Patterns

Longest Win Streak days 173

Longest Loss Streak days 124

💹 Trading Metrics

Omega Ratio 1.2210.598

Expectancy % +0.66%-1.43%

Kelly Criterion % 1.52%0.00%

📅 Weekly Performance

Best Week % +88.14%+15.86%

Worst Week % -53.48%-32.28%

Weekly Win Rate % 57.4%35.7%

📆 Monthly Performance

Best Month % +247.09%+-3.99%

Worst Month % -76.18%-32.42%

Monthly Win Rate % 50.0%0.0%

🔧 Technical Indicators

RSI (14-period) 79.9729.24

Price vs 50-Day MA % +42.04%-41.33%

Price vs 200-Day MA % +33.75%N/A

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):	-0.459 (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