PYTH PYTH / USD Crypto vs BNT BNT / 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 / USDBNT / USD
📈 Performance Metrics
Start Price 0.410.62
End Price 0.080.46
Price Change % -79.52%-26.12%
Period High 0.530.95
Period Low 0.080.34
Price Range % 527.0%182.4%
🏆 All-Time Records
All-Time High 0.530.95
Days Since ATH 330 days325 days
Distance From ATH % -84.0%-52.0%
All-Time Low 0.080.34
Distance From ATL % +0.0%+35.4%
New ATHs Hit 10 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.48%3.22%
Biggest Jump (1 Day) % +0.11+0.09
Biggest Drop (1 Day) % -0.09-0.14
Days Above Avg % 29.4%57.3%
Extreme Moves days 7 (2.0%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%48.1%
Recent Momentum (10-day) % -10.83%-9.90%
📊 Statistical Measures
Average Price 0.200.62
Median Price 0.150.66
Price Std Deviation 0.110.14
🚀 Returns & Growth
CAGR % -81.50%-27.54%
Annualized Return % -81.50%-27.54%
Total Return % -79.52%-26.12%
⚠️ Risk & Volatility
Daily Volatility % 8.00%4.29%
Annualized Volatility % 152.84%81.95%
Max Drawdown % -84.05%-64.59%
Sharpe Ratio -0.0240.001
Sortino Ratio -0.0300.001
Calmar Ratio -0.970-0.426
Ulcer Index 66.2136.93
📅 Daily Performance
Win Rate % 49.1%50.9%
Positive Days 168171
Negative Days 174165
Best Day % +99.34%+19.38%
Worst Day % -32.57%-15.85%
Avg Gain (Up Days) % +4.55%+3.25%
Avg Loss (Down Days) % -4.77%-3.36%
Profit Factor 0.921.00
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 0.9211.002
Expectancy % -0.19%+0.00%
Kelly Criterion % 0.00%0.04%
📅 Weekly Performance
Best Week % +65.86%+47.22%
Worst Week % -27.08%-24.09%
Weekly Win Rate % 51.9%46.2%
📆 Monthly Performance
Best Month % +65.32%+34.28%
Worst Month % -31.62%-28.71%
Monthly Win Rate % 38.5%53.8%
🔧 Technical Indicators
RSI (14-period) 47.2839.08
Price vs 50-Day MA % -37.52%-27.38%
Price vs 200-Day MA % -36.20%-29.66%

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 BNT (BNT): 0.410 (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

PYTH: Kraken
BNT: Kraken