PYTH PYTH / ALGO Crypto vs XTER XTER / ALGO 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / ALGOXTER / ALGO

📈 Performance Metrics

Start Price 1.030.39

End Price 0.510.29

Price Change % -51.07%-24.06%

Period High 1.190.77

Period Low 0.410.29

Price Range % 194.6%165.9%

🏆 All-Time Records

All-Time High 1.190.77

Days Since ATH 335 days84 days

Distance From ATH % -57.6%-62.2%

All-Time Low 0.410.29

Distance From ATL % +24.8%+0.5%

New ATHs Hit 4 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 2.81%5.87%

Biggest Jump (1 Day) % +0.44+0.45

Biggest Drop (1 Day) % -0.12-0.22

Days Above Avg % 54.7%47.6%

Extreme Moves days 6 (1.7%)2 (2.0%)

Stability Score % 0.0%0.0%

Trend Strength % 54.8%59.8%

Recent Momentum (10-day) % -3.01%-8.79%

📊 Statistical Measures

Average Price 0.690.38

Median Price 0.700.36

Price Std Deviation 0.160.07

🚀 Returns & Growth

CAGR % -53.26%-62.65%

Annualized Return % -53.26%-62.65%

Total Return % -51.07%-24.06%

⚠️ Risk & Volatility

Daily Volatility % 6.37%15.22%

Annualized Volatility % 121.73%290.82%

Max Drawdown % -66.06%-62.39%

Sharpe Ratio -0.0090.031

Sortino Ratio -0.0150.071

Calmar Ratio -0.806-1.004

Ulcer Index 44.2446.48

📅 Daily Performance

Win Rate % 45.2%40.2%

Positive Days 15541

Negative Days 18861

Best Day % +94.89%+136.93%

Worst Day % -15.91%-28.90%

Avg Gain (Up Days) % +3.03%+7.47%

Avg Loss (Down Days) % -2.60%-4.23%

Profit Factor 0.961.19

🔥 Streaks & Patterns

Longest Win Streak days 65

Longest Loss Streak days 107

💹 Trading Metrics

Omega Ratio 0.9611.187

Expectancy % -0.05%+0.47%

Kelly Criterion % 0.00%1.50%

📅 Weekly Performance

Best Week % +76.23%+133.96%

Worst Week % -17.04%-25.41%

Weekly Win Rate % 47.2%52.9%

📆 Monthly Performance

Best Month % +68.82%+17.39%

Worst Month % -21.88%-5.29%

Monthly Win Rate % 30.8%60.0%

🔧 Technical Indicators

RSI (14-period) 32.1232.02

Price vs 50-Day MA % -14.51%-17.90%

Price vs 200-Day MA % -14.71%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 XTER (XTER):	0.409 (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
XTER: Kraken