PYTH PYTH / SPK 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.

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Asset PYTH / SPKMATH / USD
📈 Performance Metrics
Start Price 2.300.33
End Price 2.920.04
Price Change % +26.69%-87.50%
Period High 3.890.33
Period Low 0.740.04
Price Range % 426.3%700.0%
🏆 All-Time Records
All-Time High 3.890.33
Days Since ATH 130 days342 days
Distance From ATH % -25.1%-87.5%
All-Time Low 0.740.04
Distance From ATL % +294.2%+0.0%
New ATHs Hit 16 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.56%3.33%
Biggest Jump (1 Day) % +1.92+0.04
Biggest Drop (1 Day) % -1.37-0.03
Days Above Avg % 63.5%36.2%
Extreme Moves days 5 (3.2%)10 (2.9%)
Stability Score % 0.0%0.0%
Trend Strength % 59.4%56.1%
Recent Momentum (10-day) % +11.23%-10.26%
📊 Statistical Measures
Average Price 2.490.13
Median Price 2.640.11
Price Std Deviation 0.730.06
🚀 Returns & Growth
CAGR % +74.57%-89.13%
Annualized Return % +74.57%-89.13%
Total Return % +26.69%-87.50%
⚠️ Risk & Volatility
Daily Volatility % 12.83%4.77%
Annualized Volatility % 245.09%91.17%
Max Drawdown % -81.00%-87.50%
Sharpe Ratio 0.071-0.104
Sortino Ratio 0.079-0.111
Calmar Ratio 0.921-1.019
Ulcer Index 38.8062.95
📅 Daily Performance
Win Rate % 59.4%43.5%
Positive Days 92148
Negative Days 63192
Best Day % +103.53%+35.84%
Worst Day % -55.27%-25.52%
Avg Gain (Up Days) % +6.02%+3.28%
Avg Loss (Down Days) % -6.56%-3.41%
Profit Factor 1.340.74
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 47
💹 Trading Metrics
Omega Ratio 1.3400.741
Expectancy % +0.91%-0.50%
Kelly Criterion % 2.29%0.00%
📅 Weekly Performance
Best Week % +116.56%+24.61%
Worst Week % -39.18%-19.41%
Weekly Win Rate % 70.8%38.5%
📆 Monthly Performance
Best Month % +160.85%+13.77%
Worst Month % -55.73%-24.24%
Monthly Win Rate % 71.4%23.1%
🔧 Technical Indicators
RSI (14-period) 79.0023.81
Price vs 50-Day MA % +5.62%-28.27%
Price vs 200-Day MA % N/A-56.46%

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): -0.298 (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
MATH: Coinbase