PYTH PYTH / SIS Crypto vs XDC XDC / SIS 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 / SISXDC / SIS
📈 Performance Metrics
Start Price 3.641.15
End Price 1.310.99
Price Change % -63.94%-13.92%
Period High 3.641.18
Period Low 1.310.72
Price Range % 177.3%62.4%
🏆 All-Time Records
All-Time High 3.641.18
Days Since ATH 343 days66 days
Distance From ATH % -63.9%-16.0%
All-Time Low 1.310.72
Distance From ATL % +0.0%+36.4%
New ATHs Hit 0 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.56%4.02%
Biggest Jump (1 Day) % +1.54+0.38
Biggest Drop (1 Day) % -0.71-0.16
Days Above Avg % 45.6%64.3%
Extreme Moves days 8 (2.3%)1 (1.4%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%49.3%
Recent Momentum (10-day) % -4.64%+11.57%
📊 Statistical Measures
Average Price 2.371.01
Median Price 2.281.03
Price Std Deviation 0.570.09
🚀 Returns & Growth
CAGR % -66.22%-54.76%
Annualized Return % -66.22%-54.76%
Total Return % -63.94%-13.92%
⚠️ Risk & Volatility
Daily Volatility % 7.53%7.94%
Annualized Volatility % 143.87%151.78%
Max Drawdown % -63.94%-38.44%
Sharpe Ratio -0.0070.006
Sortino Ratio -0.0090.009
Calmar Ratio -1.036-1.425
Ulcer Index 38.1915.88
📅 Daily Performance
Win Rate % 46.9%50.7%
Positive Days 16135
Negative Days 18234
Best Day % +88.45%+52.98%
Worst Day % -19.58%-14.98%
Avg Gain (Up Days) % +4.88%+4.27%
Avg Loss (Down Days) % -4.42%-4.29%
Profit Factor 0.981.02
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 0.9771.024
Expectancy % -0.05%+0.05%
Kelly Criterion % 0.00%0.28%
📅 Weekly Performance
Best Week % +47.45%+11.26%
Worst Week % -21.19%-21.99%
Weekly Win Rate % 44.2%33.3%
📆 Monthly Performance
Best Month % +52.70%+0.20%
Worst Month % -38.78%-30.29%
Monthly Win Rate % 30.8%25.0%
🔧 Technical Indicators
RSI (14-period) 28.6352.11
Price vs 50-Day MA % -25.34%-0.04%
Price vs 200-Day MA % -35.79%N/A
💰 Volume Analysis
Avg Volume 27,887,00694,506,010
Total Volume 9,593,130,1356,615,420,690

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 XDC (XDC): 0.543 (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
XDC: Kraken