TREE TREE / M Crypto vs PYTH PYTH / M 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 TREE / MPYTH / M

📈 Performance Metrics

Start Price 2.011.90

End Price 0.080.05

Price Change % -95.79%-97.49%

Period High 2.011.90

Period Low 0.060.04

Price Range % 3,247.6%5,079.0%

🏆 All-Time Records

All-Time High 2.011.90

Days Since ATH 104 days130 days

Distance From ATH % -95.8%-97.5%

All-Time Low 0.060.04

Distance From ATL % +40.9%+29.9%

New ATHs Hit 0 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 12.09%14.83%

Biggest Jump (1 Day) % +0.20+0.27

Biggest Drop (1 Day) % -0.47-0.54

Days Above Avg % 35.2%42.0%

Extreme Moves days 8 (7.7%)7 (5.4%)

Stability Score % 0.0%0.0%

Trend Strength % 54.8%48.5%

Recent Momentum (10-day) % +35.21%+22.88%

📊 Statistical Measures

Average Price 0.370.22

Median Price 0.130.10

Price Std Deviation 0.400.29

🚀 Returns & Growth

CAGR % -100.00%-100.00%

Annualized Return % -100.00%-100.00%

Total Return % -95.79%-97.49%

⚠️ Risk & Volatility

Daily Volatility % 13.17%17.03%

Annualized Volatility % 251.57%325.45%

Max Drawdown % -97.01%-98.07%

Sharpe Ratio -0.157-0.082

Sortino Ratio -0.144-0.081

Calmar Ratio -1.031-1.020

Ulcer Index 84.0389.87

📅 Daily Performance

Win Rate % 45.2%51.5%

Positive Days 4767

Negative Days 5763

Best Day % +49.48%+98.26%

Worst Day % -42.02%-47.38%

Avg Gain (Up Days) % +7.86%+9.45%

Avg Loss (Down Days) % -10.26%-12.92%

Profit Factor 0.630.78

🔥 Streaks & Patterns

Longest Win Streak days 46

Longest Loss Streak days 68

💹 Trading Metrics

Omega Ratio 0.6320.778

Expectancy % -2.07%-1.39%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +27.45%+34.77%

Worst Week % -52.40%-67.88%

Weekly Win Rate % 41.2%52.4%

📆 Monthly Performance

Best Month % +33.91%+14.24%

Worst Month % -72.37%-84.91%

Monthly Win Rate % 33.3%33.3%

🔧 Technical Indicators

RSI (14-period) 66.2161.98

Price vs 50-Day MA % -6.44%-9.87%

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).

TREE (TREE) vs PYTH (PYTH):	0.906 (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

TREE: Kraken
PYTH: Kraken