TREE TREE / PYTH Crypto vs CELR CELR / PYTH 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 / PYTHCELR / PYTH

📈 Performance Metrics

Start Price 5.400.06

End Price 1.830.06

Price Change % -66.01%+4.45%

Period High 5.400.08

Period Low 1.440.04

Price Range % 274.8%124.3%

🏆 All-Time Records

All-Time High 5.400.08

Days Since ATH 114 days182 days

Distance From ATH % -66.0%-22.0%

All-Time Low 1.440.04

Distance From ATL % +27.4%+75.0%

New ATHs Hit 0 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.88%2.67%

Biggest Jump (1 Day) % +0.32+0.01

Biggest Drop (1 Day) % -1.01-0.03

Days Above Avg % 27.8%54.9%

Extreme Moves days 5 (4.4%)13 (3.8%)

Stability Score % 0.0%0.0%

Trend Strength % 57.0%53.4%

Recent Momentum (10-day) % -1.72%-0.08%

📊 Statistical Measures

Average Price 2.180.06

Median Price 1.870.06

Price Std Deviation 0.780.01

🚀 Returns & Growth

CAGR % -96.84%+4.74%

Annualized Return % -96.84%+4.74%

Total Return % -66.01%+4.45%

⚠️ Risk & Volatility

Daily Volatility % 5.67%4.45%

Annualized Volatility % 108.31%84.94%

Max Drawdown % -73.32%-55.41%

Sharpe Ratio -0.1350.029

Sortino Ratio -0.1210.025

Calmar Ratio -1.3210.086

Ulcer Index 61.2620.25

📅 Daily Performance

Win Rate % 42.5%53.5%

Positive Days 48183

Negative Days 65159

Best Day % +16.59%+15.30%

Worst Day % -36.02%-48.49%

Avg Gain (Up Days) % +3.29%+2.63%

Avg Loss (Down Days) % -3.77%-2.75%

Profit Factor 0.641.10

🔥 Streaks & Patterns

Longest Win Streak days 57

Longest Loss Streak days 65

💹 Trading Metrics

Omega Ratio 0.6451.102

Expectancy % -0.77%+0.13%

Kelly Criterion % 0.00%1.79%

📅 Weekly Performance

Best Week % +14.32%+15.65%

Worst Week % -30.15%-37.87%

Weekly Win Rate % 38.9%50.0%

📆 Monthly Performance

Best Month % +17.22%+17.73%

Worst Month % -59.12%-33.13%

Monthly Win Rate % 33.3%53.8%

🔧 Technical Indicators

RSI (14-period) 46.8552.72

Price vs 50-Day MA % +8.08%+10.36%

Price vs 200-Day MA % N/A+0.04%

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 CELR (CELR):	0.562 (Moderate 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
CELR: Kraken