PYTH PYTH / ALEPH Crypto vs MATH MATH / 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 / ALEPHMATH / USD
📈 Performance Metrics
Start Price 2.500.31
End Price 2.100.06
Price Change % -16.04%-80.01%
Period High 3.220.39
Period Low 1.310.05
Price Range % 145.3%613.0%
🏆 All-Time Records
All-Time High 3.220.39
Days Since ATH 48 days312 days
Distance From ATH % -34.9%-84.4%
All-Time Low 1.310.05
Distance From ATL % +59.8%+11.5%
New ATHs Hit 14 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.71%3.34%
Biggest Jump (1 Day) % +1.64+0.04
Biggest Drop (1 Day) % -1.12-0.04
Days Above Avg % 54.4%35.0%
Extreme Moves days 7 (2.1%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 49.0%55.0%
Recent Momentum (10-day) % -6.62%-20.28%
📊 Statistical Measures
Average Price 2.240.16
Median Price 2.280.13
Price Std Deviation 0.410.08
🚀 Returns & Growth
CAGR % -17.07%-82.06%
Annualized Return % -17.07%-82.06%
Total Return % -16.04%-80.01%
⚠️ Risk & Volatility
Daily Volatility % 8.42%4.82%
Annualized Volatility % 160.96%92.17%
Max Drawdown % -57.57%-85.97%
Sharpe Ratio 0.029-0.074
Sortino Ratio 0.038-0.079
Calmar Ratio -0.296-0.954
Ulcer Index 30.4361.92
📅 Daily Performance
Win Rate % 51.0%44.7%
Positive Days 174152
Negative Days 167188
Best Day % +104.36%+35.84%
Worst Day % -34.66%-25.52%
Avg Gain (Up Days) % +4.93%+3.35%
Avg Loss (Down Days) % -4.64%-3.35%
Profit Factor 1.110.81
🔥 Streaks & Patterns
Longest Win Streak days 69
Longest Loss Streak days 118
💹 Trading Metrics
Omega Ratio 1.1080.807
Expectancy % +0.25%-0.36%
Kelly Criterion % 1.07%0.00%
📅 Weekly Performance
Best Week % +60.52%+24.61%
Worst Week % -21.13%-19.41%
Weekly Win Rate % 53.8%42.3%
📆 Monthly Performance
Best Month % +88.18%+13.77%
Worst Month % -23.68%-24.24%
Monthly Win Rate % 46.2%30.8%
🔧 Technical Indicators
RSI (14-period) 46.0733.02
Price vs 50-Day MA % -3.77%-31.54%
Price vs 200-Day MA % +3.86%-43.15%

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 MATH (MATH): 0.635 (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
MATH: Coinbase