TREE TREE / SLF Crypto vs PYTH PYTH / SLF 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset TREE / SLFPYTH / SLF
📈 Performance Metrics
Start Price 8.501.01
End Price 15.578.14
Price Change % +83.11%+705.27%
Period High 15.578.14
Period Low 3.790.54
Price Range % 310.8%1,407.3%
🏆 All-Time Records
All-Time High 15.578.14
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 3.790.54
Distance From ATL % +310.8%+1,407.3%
New ATHs Hit 7 times28 times
📌 Easy-to-Understand Stats
Avg Daily Change % 10.96%7.85%
Biggest Jump (1 Day) % +4.71+2.45
Biggest Drop (1 Day) % -5.16-2.54
Days Above Avg % 25.5%27.4%
Extreme Moves days 5 (10.0%)11 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 52.0%56.5%
Recent Momentum (10-day) % +4.90%+7.80%
📊 Statistical Measures
Average Price 7.141.34
Median Price 6.161.06
Price Std Deviation 2.431.07
🚀 Returns & Growth
CAGR % +8,174.66%+1,477.89%
Annualized Return % +8,174.66%+1,477.89%
Total Return % +83.11%+705.27%
⚠️ Risk & Volatility
Daily Volatility % 17.87%10.62%
Annualized Volatility % 341.45%202.88%
Max Drawdown % -70.68%-68.12%
Sharpe Ratio 0.1580.120
Sortino Ratio 0.1930.150
Calmar Ratio 115.65221.697
Ulcer Index 30.7132.98
📅 Daily Performance
Win Rate % 52.0%56.5%
Positive Days 26156
Negative Days 24120
Best Day % +62.89%+93.27%
Worst Day % -51.66%-52.69%
Avg Gain (Up Days) % +12.87%+5.97%
Avg Loss (Down Days) % -8.07%-4.84%
Profit Factor 1.731.60
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 48
💹 Trading Metrics
Omega Ratio 1.7271.604
Expectancy % +2.82%+1.27%
Kelly Criterion % 2.71%4.40%
📅 Weekly Performance
Best Week % +103.40%+95.87%
Worst Week % -56.35%-57.70%
Weekly Win Rate % 37.5%59.5%
📆 Monthly Performance
Best Month % +162.41%+160.01%
Worst Month % -19.88%-29.08%
Monthly Win Rate % 33.3%80.0%
🔧 Technical Indicators
RSI (14-period) 68.0770.22
Price vs 50-Day MA % +119.06%+174.70%
Price vs 200-Day MA % N/A+469.92%

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): 0.889 (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