PYTH PYTH / KOBAN Crypto vs GPS GPS / 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 / KOBANGPS / USD
📈 Performance Metrics
Start Price 7.530.07
End Price 132.560.01
Price Change % +1,660.75%-91.08%
Period High 234.880.20
Period Low 5.420.01
Price Range % 4,232.9%3,342.6%
🏆 All-Time Records
All-Time High 234.880.20
Days Since ATH 20 days271 days
Distance From ATH % -43.6%-97.0%
All-Time Low 5.420.01
Distance From ATL % +2,345.3%+1.7%
New ATHs Hit 33 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 11.29%6.42%
Biggest Jump (1 Day) % +57.76+0.02
Biggest Drop (1 Day) % -201.99-0.06
Days Above Avg % 41.1%18.8%
Extreme Moves days 8 (4.8%)11 (3.8%)
Stability Score % 69.7%0.0%
Trend Strength % 64.1%52.8%
Recent Momentum (10-day) % +42.00%-8.47%
📊 Statistical Measures
Average Price 58.720.04
Median Price 47.910.02
Price Std Deviation 51.330.05
🚀 Returns & Growth
CAGR % +52,699.98%-95.42%
Annualized Return % +52,699.98%-95.42%
Total Return % +1,660.75%-91.08%
⚠️ Risk & Volatility
Daily Volatility % 17.79%8.48%
Annualized Volatility % 339.89%161.93%
Max Drawdown % -90.31%-97.10%
Sharpe Ratio 0.222-0.053
Sortino Ratio 0.215-0.052
Calmar Ratio 583.518-0.983
Ulcer Index 38.7382.54
📅 Daily Performance
Win Rate % 64.5%46.8%
Positive Days 107133
Negative Days 59151
Best Day % +107.64%+41.62%
Worst Day % -86.32%-50.37%
Avg Gain (Up Days) % +11.69%+5.54%
Avg Loss (Down Days) % -10.04%-5.73%
Profit Factor 2.110.85
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 2.1130.852
Expectancy % +3.97%-0.45%
Kelly Criterion % 3.38%0.00%
📅 Weekly Performance
Best Week % +162.25%+73.76%
Worst Week % -81.00%-69.33%
Weekly Win Rate % 65.4%44.2%
📆 Monthly Performance
Best Month % +587.64%+201.95%
Worst Month % -52.44%-80.55%
Monthly Win Rate % 71.4%36.4%
🔧 Technical Indicators
RSI (14-period) 83.7446.77
Price vs 50-Day MA % +13.14%-41.91%
Price vs 200-Day MA % N/A-67.56%

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 GPS (GPS): -0.610 (Moderate negative)

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
GPS: Bybit