PYTH PYTH / ETHPY Crypto vs ASM ASM / 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 / ETHPYASM / USD
📈 Performance Metrics
Start Price 0.000.03
End Price 0.000.01
Price Change % -81.14%-55.93%
Period High 0.000.08
Period Low 0.000.01
Price Range % 491.8%518.4%
🏆 All-Time Records
All-Time High 0.000.08
Days Since ATH 314 days266 days
Distance From ATH % -82.7%-83.7%
All-Time Low 0.000.01
Distance From ATL % +2.4%+0.6%
New ATHs Hit 3 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.38%5.82%
Biggest Jump (1 Day) % +0.00+0.03
Biggest Drop (1 Day) % 0.00-0.02
Days Above Avg % 53.5%37.8%
Extreme Moves days 10 (2.9%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 54.2%57.4%
Recent Momentum (10-day) % -14.10%-7.65%
📊 Statistical Measures
Average Price 0.000.03
Median Price 0.000.02
Price Std Deviation 0.000.01
🚀 Returns & Growth
CAGR % -83.06%-58.19%
Annualized Return % -83.06%-58.19%
Total Return % -81.14%-55.93%
⚠️ Risk & Volatility
Daily Volatility % 8.94%11.51%
Annualized Volatility % 170.85%219.95%
Max Drawdown % -83.10%-83.83%
Sharpe Ratio -0.0170.019
Sortino Ratio -0.0240.035
Calmar Ratio -0.999-0.694
Ulcer Index 56.0561.78
📅 Daily Performance
Win Rate % 45.8%42.4%
Positive Days 157145
Negative Days 186197
Best Day % +106.83%+164.33%
Worst Day % -21.22%-33.96%
Avg Gain (Up Days) % +5.37%+6.44%
Avg Loss (Down Days) % -4.82%-4.36%
Profit Factor 0.941.09
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 69
💹 Trading Metrics
Omega Ratio 0.9401.087
Expectancy % -0.16%+0.22%
Kelly Criterion % 0.00%0.78%
📅 Weekly Performance
Best Week % +60.71%+103.25%
Worst Week % -23.38%-44.73%
Weekly Win Rate % 44.2%46.2%
📆 Monthly Performance
Best Month % +18.03%+70.59%
Worst Month % -42.50%-44.90%
Monthly Win Rate % 30.8%23.1%
🔧 Technical Indicators
RSI (14-period) 30.0627.45
Price vs 50-Day MA % -30.18%-27.12%
Price vs 200-Day MA % -48.12%-37.79%
💰 Volume Analysis
Avg Volume 59343,450,520
Total Volume 204,03414,946,978,759

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 ASM (ASM): 0.593 (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
ASM: Coinbase