PYTH PYTH / FLOW 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 / FLOWTREE / USD
📈 Performance Metrics
Start Price 0.710.68
End Price 0.380.16
Price Change % -46.72%-77.16%
Period High 0.710.68
Period Low 0.280.15
Price Range % 154.9%366.6%
🏆 All-Time Records
All-Time High 0.710.68
Days Since ATH 342 days82 days
Distance From ATH % -46.8%-77.2%
All-Time Low 0.280.15
Distance From ATL % +35.7%+6.6%
New ATHs Hit 1 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.67%5.91%
Biggest Jump (1 Day) % +0.23+0.08
Biggest Drop (1 Day) % -0.07-0.15
Days Above Avg % 47.4%49.4%
Extreme Moves days 7 (2.0%)4 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 55.4%54.9%
Recent Momentum (10-day) % -9.52%-40.61%
📊 Statistical Measures
Average Price 0.400.32
Median Price 0.390.32
Price Std Deviation 0.080.09
🚀 Returns & Growth
CAGR % -48.82%-99.86%
Annualized Return % -48.82%-99.86%
Total Return % -46.72%-77.16%
⚠️ Risk & Volatility
Daily Volatility % 5.42%7.88%
Annualized Volatility % 103.56%150.60%
Max Drawdown % -60.77%-78.57%
Sharpe Ratio -0.012-0.185
Sortino Ratio -0.020-0.164
Calmar Ratio -0.803-1.271
Ulcer Index 44.9854.64
📅 Daily Performance
Win Rate % 44.4%44.4%
Positive Days 15236
Negative Days 19045
Best Day % +76.49%+27.55%
Worst Day % -11.05%-34.10%
Avg Gain (Up Days) % +2.91%+4.63%
Avg Loss (Down Days) % -2.44%-6.35%
Profit Factor 0.950.58
🔥 Streaks & Patterns
Longest Win Streak days 63
Longest Loss Streak days 74
💹 Trading Metrics
Omega Ratio 0.9520.583
Expectancy % -0.07%-1.47%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +46.08%+15.86%
Worst Week % -21.29%-32.28%
Weekly Win Rate % 43.4%35.7%
📆 Monthly Performance
Best Month % +40.22%+-3.99%
Worst Month % -28.68%-32.42%
Monthly Win Rate % 38.5%0.0%
🔧 Technical Indicators
RSI (14-period) 31.7423.11
Price vs 50-Day MA % -8.43%-42.59%
Price vs 200-Day MA % +5.61%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): -0.413 (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