PYTH PYTH / BIT 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 / BITPYTH / USD
📈 Performance Metrics
Start Price 0.620.40
End Price 0.070.09
Price Change % -88.28%-77.36%
Period High 0.620.53
Period Low 0.060.09
Price Range % 971.8%518.7%
🏆 All-Time Records
All-Time High 0.620.53
Days Since ATH 342 days317 days
Distance From ATH % -88.3%-82.9%
All-Time Low 0.060.09
Distance From ATL % +25.1%+5.8%
New ATHs Hit 1 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.46%4.37%
Biggest Jump (1 Day) % +0.09+0.11
Biggest Drop (1 Day) % -0.26-0.09
Days Above Avg % 32.8%30.8%
Extreme Moves days 8 (2.3%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 53.6%49.9%
Recent Momentum (10-day) % -12.49%-25.14%
📊 Statistical Measures
Average Price 0.220.21
Median Price 0.190.16
Price Std Deviation 0.120.12
🚀 Returns & Growth
CAGR % -89.78%-79.42%
Annualized Return % -89.78%-79.42%
Total Return % -88.28%-77.36%
⚠️ Risk & Volatility
Daily Volatility % 8.97%7.91%
Annualized Volatility % 171.42%151.06%
Max Drawdown % -90.67%-83.84%
Sharpe Ratio -0.026-0.021
Sortino Ratio -0.030-0.027
Calmar Ratio -0.990-0.947
Ulcer Index 67.0664.28
📅 Daily Performance
Win Rate % 46.2%50.0%
Positive Days 158171
Negative Days 184171
Best Day % +90.74%+99.34%
Worst Day % -56.88%-32.57%
Avg Gain (Up Days) % +5.77%+4.41%
Avg Loss (Down Days) % -5.40%-4.75%
Profit Factor 0.920.93
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.9190.928
Expectancy % -0.24%-0.17%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +60.73%+65.86%
Worst Week % -49.66%-27.08%
Weekly Win Rate % 48.1%51.9%
📆 Monthly Performance
Best Month % +13.42%+65.32%
Worst Month % -49.56%-31.62%
Monthly Win Rate % 30.8%38.5%
🔧 Technical Indicators
RSI (14-period) 46.9016.61
Price vs 50-Day MA % -28.89%-41.83%
Price vs 200-Day MA % -52.89%-32.70%

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): 0.846 (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
PYTH: Kraken