PYTH PYTH / D 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 / DPYTH / USD
📈 Performance Metrics
Start Price 1.800.42
End Price 4.820.10
Price Change % +167.01%-75.70%
Period High 6.910.53
Period Low 1.800.09
Price Range % 282.8%518.7%
🏆 All-Time Records
All-Time High 6.910.53
Days Since ATH 51 days319 days
Distance From ATH % -30.3%-80.5%
All-Time Low 1.800.09
Distance From ATL % +167.0%+20.7%
New ATHs Hit 18 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.57%4.41%
Biggest Jump (1 Day) % +3.36+0.11
Biggest Drop (1 Day) % -0.98-0.09
Days Above Avg % 35.7%30.5%
Extreme Moves days 8 (2.8%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%50.4%
Recent Momentum (10-day) % +0.96%-32.16%
📊 Statistical Measures
Average Price 3.440.21
Median Price 3.290.15
Price Std Deviation 0.890.12
🚀 Returns & Growth
CAGR % +256.50%-77.81%
Annualized Return % +256.50%-77.81%
Total Return % +167.01%-75.70%
⚠️ Risk & Volatility
Daily Volatility % 7.59%8.00%
Annualized Volatility % 145.02%152.80%
Max Drawdown % -38.83%-83.84%
Sharpe Ratio 0.077-0.018
Sortino Ratio 0.109-0.023
Calmar Ratio 6.606-0.928
Ulcer Index 17.7064.56
📅 Daily Performance
Win Rate % 53.9%49.6%
Positive Days 152170
Negative Days 130173
Best Day % +94.97%+99.34%
Worst Day % -31.31%-32.57%
Avg Gain (Up Days) % +3.95%+4.53%
Avg Loss (Down Days) % -3.35%-4.74%
Profit Factor 1.380.94
🔥 Streaks & Patterns
Longest Win Streak days 107
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.3770.940
Expectancy % +0.58%-0.14%
Kelly Criterion % 4.40%0.00%
📅 Weekly Performance
Best Week % +65.49%+65.86%
Worst Week % -14.00%-27.08%
Weekly Win Rate % 66.7%53.8%
📆 Monthly Performance
Best Month % +72.99%+65.32%
Worst Month % -8.22%-31.62%
Monthly Win Rate % 72.7%38.5%
🔧 Technical Indicators
RSI (14-period) 46.2134.57
Price vs 50-Day MA % -3.96%-31.73%
Price vs 200-Day MA % +27.18%-23.09%
💰 Volume Analysis
Avg Volume 53,633,1841,936,190
Total Volume 15,178,191,149666,049,398

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): -0.254 (Weak)

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