PYTH PYTH / TRAC Crypto vs WAN WAN / 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 / TRACWAN / USD
📈 Performance Metrics
Start Price 0.480.20
End Price 0.160.07
Price Change % -65.45%-67.15%
Period High 0.610.31
Period Low 0.150.07
Price Range % 311.0%371.6%
🏆 All-Time Records
All-Time High 0.610.31
Days Since ATH 59 days323 days
Distance From ATH % -72.8%-78.8%
All-Time Low 0.150.07
Distance From ATL % +11.6%+0.2%
New ATHs Hit 5 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.40%3.21%
Biggest Jump (1 Day) % +0.29+0.03
Biggest Drop (1 Day) % -0.15-0.05
Days Above Avg % 55.8%28.2%
Extreme Moves days 9 (2.6%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 49.3%50.1%
Recent Momentum (10-day) % -19.24%-10.55%
📊 Statistical Measures
Average Price 0.370.14
Median Price 0.390.12
Price Std Deviation 0.090.05
🚀 Returns & Growth
CAGR % -67.73%-69.41%
Annualized Return % -67.73%-69.41%
Total Return % -65.45%-67.15%
⚠️ Risk & Volatility
Daily Volatility % 7.87%4.13%
Annualized Volatility % 150.36%78.99%
Max Drawdown % -75.67%-78.79%
Sharpe Ratio -0.005-0.057
Sortino Ratio -0.006-0.051
Calmar Ratio -0.895-0.881
Ulcer Index 35.5457.61
📅 Daily Performance
Win Rate % 50.6%49.3%
Positive Days 173167
Negative Days 169172
Best Day % +97.56%+12.98%
Worst Day % -44.40%-28.09%
Avg Gain (Up Days) % +4.31%+2.84%
Avg Loss (Down Days) % -4.48%-3.23%
Profit Factor 0.980.85
🔥 Streaks & Patterns
Longest Win Streak days 611
Longest Loss Streak days 49
💹 Trading Metrics
Omega Ratio 0.9830.855
Expectancy % -0.04%-0.24%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +84.84%+22.54%
Worst Week % -20.11%-18.73%
Weekly Win Rate % 53.8%46.2%
📆 Monthly Performance
Best Month % +112.15%+21.34%
Worst Month % -27.31%-22.75%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 46.3145.41
Price vs 50-Day MA % -50.79%-27.90%
Price vs 200-Day MA % -50.17%-39.93%

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 WAN (WAN): 0.496 (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
WAN: Binance