PYTH PYTH / PROVE Crypto vs XMLNZ XMLNZ / 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 / PROVEXMLNZ / USD
📈 Performance Metrics
Start Price 0.2218.18
End Price 0.165.33
Price Change % -26.32%-70.67%
Period High 0.2226.64
Period Low 0.155.05
Price Range % 42.2%427.4%
🏆 All-Time Records
All-Time High 0.2226.64
Days Since ATH 36 days332 days
Distance From ATH % -26.4%-80.0%
All-Time Low 0.155.05
Distance From ATL % +4.7%+5.6%
New ATHs Hit 1 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.27%3.82%
Biggest Jump (1 Day) % +0.02+4.82
Biggest Drop (1 Day) % -0.04-2.75
Days Above Avg % 49.3%29.7%
Extreme Moves days 2 (2.9%)12 (3.5%)
Stability Score % 0.0%52.1%
Trend Strength % 50.0%52.5%
Recent Momentum (10-day) % -7.41%-12.19%
📊 Statistical Measures
Average Price 0.1810.76
Median Price 0.188.71
Price Std Deviation 0.024.78
🚀 Returns & Growth
CAGR % -80.59%-72.89%
Annualized Return % -80.59%-72.89%
Total Return % -26.32%-70.67%
⚠️ Risk & Volatility
Daily Volatility % 4.65%5.16%
Annualized Volatility % 88.80%98.53%
Max Drawdown % -29.68%-81.04%
Sharpe Ratio -0.072-0.045
Sortino Ratio -0.064-0.049
Calmar Ratio -2.715-0.899
Ulcer Index 18.4562.08
📅 Daily Performance
Win Rate % 49.3%47.2%
Positive Days 33161
Negative Days 34180
Best Day % +13.23%+38.93%
Worst Day % -20.41%-16.67%
Avg Gain (Up Days) % +2.93%+3.53%
Avg Loss (Down Days) % -3.52%-3.60%
Profit Factor 0.810.88
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 0.8090.878
Expectancy % -0.34%-0.23%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +12.83%+21.73%
Worst Week % -12.10%-24.86%
Weekly Win Rate % 33.3%46.2%
📆 Monthly Performance
Best Month % +14.76%+13.38%
Worst Month % -12.10%-20.27%
Monthly Win Rate % 50.0%46.2%
🔧 Technical Indicators
RSI (14-period) 31.0731.86
Price vs 50-Day MA % -11.16%-20.71%
Price vs 200-Day MA % N/A-31.89%

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 XMLNZ (XMLNZ): 0.702 (Strong 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
XMLNZ: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures