PYTH PYTH / ETHFI Crypto vs PYTH PYTH / 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 / ETHFIPYTH / USD
📈 Performance Metrics
Start Price 0.250.42
End Price 0.110.10
Price Change % -57.32%-75.70%
Period High 0.320.53
Period Low 0.080.09
Price Range % 282.3%518.7%
🏆 All-Time Records
All-Time High 0.320.53
Days Since ATH 184 days319 days
Distance From ATH % -66.7%-80.5%
All-Time Low 0.080.09
Distance From ATL % +27.5%+20.7%
New ATHs Hit 8 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.66%4.41%
Biggest Jump (1 Day) % +0.09+0.11
Biggest Drop (1 Day) % -0.08-0.09
Days Above Avg % 52.9%30.5%
Extreme Moves days 8 (2.3%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%50.4%
Recent Momentum (10-day) % +14.50%-32.16%
📊 Statistical Measures
Average Price 0.170.21
Median Price 0.170.15
Price Std Deviation 0.060.12
🚀 Returns & Growth
CAGR % -59.59%-77.81%
Annualized Return % -59.59%-77.81%
Total Return % -57.32%-75.70%
⚠️ Risk & Volatility
Daily Volatility % 6.91%8.00%
Annualized Volatility % 132.09%152.80%
Max Drawdown % -73.84%-83.84%
Sharpe Ratio -0.006-0.018
Sortino Ratio -0.008-0.023
Calmar Ratio -0.807-0.928
Ulcer Index 49.4964.56
📅 Daily Performance
Win Rate % 49.6%49.6%
Positive Days 170170
Negative Days 173173
Best Day % +88.15%+99.34%
Worst Day % -32.27%-32.57%
Avg Gain (Up Days) % +3.63%+4.53%
Avg Loss (Down Days) % -3.65%-4.74%
Profit Factor 0.980.94
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 0.9770.940
Expectancy % -0.04%-0.14%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +69.69%+65.86%
Worst Week % -35.40%-27.08%
Weekly Win Rate % 55.8%53.8%
📆 Monthly Performance
Best Month % +46.01%+65.32%
Worst Month % -59.22%-31.62%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 74.9434.57
Price vs 50-Day MA % -4.76%-31.73%
Price vs 200-Day MA % -23.03%-23.09%
💰 Volume Analysis
Avg Volume 1,635,9031,936,190
Total Volume 562,750,578666,049,398

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 PYTH (PYTH): 0.342 (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
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures