PYTH PYTH / BNC Crypto vs XUSD XUSD / 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 / BNCXUSD / USD
📈 Performance Metrics
Start Price 1.921.00
End Price 1.591.00
Price Change % -16.79%-0.03%
Period High 2.201.00
Period Low 0.731.00
Price Range % 202.1%0.1%
🏆 All-Time Records
All-Time High 2.201.00
Days Since ATH 334 days180 days
Distance From ATH % -27.4%-0.1%
All-Time Low 0.731.00
Distance From ATL % +119.2%+0.0%
New ATHs Hit 5 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.80%0.01%
Biggest Jump (1 Day) % +1.11+0.00
Biggest Drop (1 Day) % -0.350.00
Days Above Avg % 42.4%47.3%
Extreme Moves days 4 (1.2%)11 (5.4%)
Stability Score % 0.0%98.1%
Trend Strength % 51.0%40.2%
Recent Momentum (10-day) % -2.71%0.00%
📊 Statistical Measures
Average Price 1.261.00
Median Price 1.161.00
Price Std Deviation 0.340.00
🚀 Returns & Growth
CAGR % -17.86%-0.05%
Annualized Return % -17.86%-0.05%
Total Return % -16.79%-0.03%
⚠️ Risk & Volatility
Daily Volatility % 7.30%0.02%
Annualized Volatility % 139.52%0.37%
Max Drawdown % -66.90%-0.14%
Sharpe Ratio 0.021-0.008
Sortino Ratio 0.032-0.007
Calmar Ratio -0.267-0.384
Ulcer Index 45.160.07
📅 Daily Performance
Win Rate % 49.0%49.1%
Positive Days 16779
Negative Days 17482
Best Day % +102.96%+0.05%
Worst Day % -21.19%-0.07%
Avg Gain (Up Days) % +4.03%+0.02%
Avg Loss (Down Days) % -3.57%-0.02%
Profit Factor 1.080.98
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 1.0840.981
Expectancy % +0.15%0.00%
Kelly Criterion % 1.06%0.00%
📅 Weekly Performance
Best Week % +76.91%+0.06%
Worst Week % -26.42%-0.05%
Weekly Win Rate % 43.1%40.0%
📆 Monthly Performance
Best Month % +81.59%+0.03%
Worst Month % -22.30%-0.06%
Monthly Win Rate % 41.7%37.5%
🔧 Technical Indicators
RSI (14-period) 66.0844.83
Price vs 50-Day MA % +2.37%-0.03%
Price vs 200-Day MA % +40.92%-0.04%
💰 Volume Analysis
Avg Volume 14,632,1337,135,107
Total Volume 5,004,189,4571,462,696,959

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 XUSD (XUSD): -0.266 (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

PYTH: Kraken
XUSD: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures