PYTH PYTH / HMSTR Crypto vs PYTH PYTH / HMSTR 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 / HMSTRPYTH / HMSTR
📈 Performance Metrics
Start Price 42.5442.54
End Price 311.59311.59
Price Change % +632.41%+632.41%
Period High 337.40337.40
Period Low 42.5442.54
Price Range % 693.1%693.1%
🏆 All-Time Records
All-Time High 337.40337.40
Days Since ATH 27 days27 days
Distance From ATH % -7.7%-7.7%
All-Time Low 42.5442.54
Distance From ATL % +632.4%+632.4%
New ATHs Hit 32 times32 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.86%3.86%
Biggest Jump (1 Day) % +142.21+142.21
Biggest Drop (1 Day) % -49.57-49.57
Days Above Avg % 39.2%39.2%
Extreme Moves days 6 (2.8%)6 (2.8%)
Stability Score % 95.2%95.2%
Trend Strength % 53.6%53.6%
Recent Momentum (10-day) % +2.98%+2.98%
📊 Statistical Measures
Average Price 176.33176.33
Median Price 160.23160.23
Price Std Deviation 87.4587.45
🚀 Returns & Growth
CAGR % +3,032.59%+3,032.59%
Annualized Return % +3,032.59%+3,032.59%
Total Return % +632.41%+632.41%
⚠️ Risk & Volatility
Daily Volatility % 8.54%8.54%
Annualized Volatility % 163.23%163.23%
Max Drawdown % -29.68%-29.68%
Sharpe Ratio 0.1450.145
Sortino Ratio 0.2720.272
Calmar Ratio 102.185102.185
Ulcer Index 13.3313.33
📅 Daily Performance
Win Rate % 53.8%53.8%
Positive Days 113113
Negative Days 9797
Best Day % +88.59%+88.59%
Worst Day % -17.69%-17.69%
Avg Gain (Up Days) % +5.02%+5.02%
Avg Loss (Down Days) % -3.16%-3.16%
Profit Factor 1.851.85
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.8501.850
Expectancy % +1.24%+1.24%
Kelly Criterion % 7.83%7.83%
📅 Weekly Performance
Best Week % +58.24%+58.24%
Worst Week % -12.29%-12.29%
Weekly Win Rate % 75.0%75.0%
📆 Monthly Performance
Best Month % +154.04%+154.04%
Worst Month % -2.37%-2.37%
Monthly Win Rate % 88.9%88.9%
🔧 Technical Indicators
RSI (14-period) 51.2751.27
Price vs 50-Day MA % +6.26%+6.26%
Price vs 200-Day MA % +69.80%+69.80%

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): 1.000 (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