PYTH PYTH / DMAIL 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / DMAILTREE / USD
📈 Performance Metrics
Start Price 1.630.68
End Price 24.910.12
Price Change % +1,432.21%-83.07%
Period High 25.720.68
Period Low 0.630.12
Price Range % 3,956.0%490.8%
🏆 All-Time Records
All-Time High 25.720.68
Days Since ATH 4 days115 days
Distance From ATH % -3.1%-83.1%
All-Time Low 0.630.12
Distance From ATL % +3,828.3%+0.0%
New ATHs Hit 34 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.42%5.57%
Biggest Jump (1 Day) % +7.27+0.08
Biggest Drop (1 Day) % -1.73-0.15
Days Above Avg % 25.9%54.3%
Extreme Moves days 8 (2.3%)6 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 57.7%55.7%
Recent Momentum (10-day) % +90.94%-10.55%
📊 Statistical Measures
Average Price 3.350.27
Median Price 1.750.28
Price Std Deviation 4.260.12
🚀 Returns & Growth
CAGR % +1,725.34%-99.64%
Annualized Return % +1,725.34%-99.64%
Total Return % +1,432.21%-83.07%
⚠️ Risk & Volatility
Daily Volatility % 10.67%7.02%
Annualized Volatility % 203.92%134.21%
Max Drawdown % -73.50%-83.07%
Sharpe Ratio 0.118-0.181
Sortino Ratio 0.158-0.162
Calmar Ratio 23.474-1.199
Ulcer Index 33.1362.94
📅 Daily Performance
Win Rate % 57.7%43.9%
Positive Days 19850
Negative Days 14564
Best Day % +129.10%+27.55%
Worst Day % -33.36%-34.10%
Avg Gain (Up Days) % +6.48%+4.22%
Avg Loss (Down Days) % -5.87%-5.59%
Profit Factor 1.510.59
🔥 Streaks & Patterns
Longest Win Streak days 93
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 1.5080.591
Expectancy % +1.26%-1.28%
Kelly Criterion % 3.31%0.00%
📅 Weekly Performance
Best Week % +64.64%+15.86%
Worst Week % -40.25%-32.28%
Weekly Win Rate % 61.5%33.3%
📆 Monthly Performance
Best Month % +208.20%+-3.76%
Worst Month % -52.94%-32.42%
Monthly Win Rate % 61.5%0.0%
🔧 Technical Indicators
RSI (14-period) 87.1034.61
Price vs 50-Day MA % +128.18%-26.62%
Price vs 200-Day MA % +441.84%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): -0.660 (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