LAYER LAYER / TREE Crypto vs PYTH PYTH / 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 LAYER / TREEPYTH / TREE
📈 Performance Metrics
Start Price 0.970.19
End Price 1.500.66
Price Change % +55.20%+256.71%
Period High 1.840.69
Period Low 0.970.19
Price Range % 90.9%274.8%
🏆 All-Time Records
All-Time High 1.840.69
Days Since ATH 6 days7 days
Distance From ATH % -18.7%-4.8%
All-Time Low 0.970.19
Distance From ATL % +55.2%+256.7%
New ATHs Hit 12 times25 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.19%3.86%
Biggest Jump (1 Day) % +0.40+0.21
Biggest Drop (1 Day) % -0.36-0.07
Days Above Avg % 51.7%60.9%
Extreme Moves days 4 (4.7%)2 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 54.7%60.5%
Recent Momentum (10-day) % -1.08%+4.48%
📊 Statistical Measures
Average Price 1.560.48
Median Price 1.560.52
Price Std Deviation 0.150.14
🚀 Returns & Growth
CAGR % +546.01%+21,985.52%
Annualized Return % +546.01%+21,985.52%
Total Return % +55.20%+256.71%
⚠️ Risk & Volatility
Daily Volatility % 6.32%7.76%
Annualized Volatility % 120.83%148.25%
Max Drawdown % -26.23%-26.43%
Sharpe Ratio 0.1120.224
Sortino Ratio 0.1200.386
Calmar Ratio 20.815831.932
Ulcer Index 12.209.15
📅 Daily Performance
Win Rate % 55.3%60.5%
Positive Days 4752
Negative Days 3834
Best Day % +27.89%+56.29%
Worst Day % -20.48%-14.23%
Avg Gain (Up Days) % +4.58%+4.94%
Avg Loss (Down Days) % -4.06%-3.15%
Profit Factor 1.402.40
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 1.3952.398
Expectancy % +0.72%+1.74%
Kelly Criterion % 3.86%11.18%
📅 Weekly Performance
Best Week % +34.87%+43.16%
Worst Week % -12.22%-7.91%
Weekly Win Rate % 64.3%78.6%
📆 Monthly Performance
Best Month % +30.31%+144.64%
Worst Month % -2.40%2.59%
Monthly Win Rate % 60.0%100.0%
🔧 Technical Indicators
RSI (14-period) 50.4157.48
Price vs 50-Day MA % -5.19%+15.01%

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).

LAYER (LAYER) vs PYTH (PYTH): 0.262 (Weak)

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

LAYER: Kraken
PYTH: Kraken