PYTH PYTH / MEW Crypto vs SPEC SPEC / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / MEWSPEC / USD

📈 Performance Metrics

Start Price 39.4611.24

End Price 65.600.23

Price Change % +66.25%-97.93%

Period High 91.3717.31

Period Low 32.840.19

Price Range % 178.3%9,218.0%

🏆 All-Time Records

All-Time High 91.3717.31

Days Since ATH 235 days324 days

Distance From ATH % -28.2%-98.7%

All-Time Low 32.840.19

Distance From ATL % +99.8%+25.1%

New ATHs Hit 22 times3 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.17%6.73%

Biggest Jump (1 Day) % +36.42+4.15

Biggest Drop (1 Day) % -13.84-2.28

Days Above Avg % 54.9%25.5%

Extreme Moves days 7 (2.0%)16 (4.7%)

Stability Score % 87.9%0.0%

Trend Strength % 52.5%56.4%

Recent Momentum (10-day) % +11.37%-32.87%

📊 Statistical Measures

Average Price 53.273.40

Median Price 54.891.42

Price Std Deviation 14.004.20

🚀 Returns & Growth

CAGR % +71.76%-98.37%

Annualized Return % +71.76%-98.37%

Total Return % +66.25%-97.93%

⚠️ Risk & Volatility

Daily Volatility % 6.45%8.38%

Annualized Volatility % 123.31%160.01%

Max Drawdown % -64.06%-98.93%

Sharpe Ratio 0.049-0.093

Sortino Ratio 0.071-0.101

Calmar Ratio 1.120-0.994

Ulcer Index 39.1583.56

📅 Daily Performance

Win Rate % 52.5%43.6%

Positive Days 180150

Negative Days 163194

Best Day % +91.20%+41.44%

Worst Day % -18.56%-27.71%

Avg Gain (Up Days) % +3.32%+6.06%

Avg Loss (Down Days) % -3.01%-6.07%

Profit Factor 1.220.77

🔥 Streaks & Patterns

Longest Win Streak days 87

Longest Loss Streak days 811

💹 Trading Metrics

Omega Ratio 1.2200.772

Expectancy % +0.31%-0.78%

Kelly Criterion % 3.14%0.00%

📅 Weekly Performance

Best Week % +64.56%+82.57%

Worst Week % -29.34%-32.33%

Weekly Win Rate % 60.4%37.7%

📆 Monthly Performance

Best Month % +73.54%+54.07%

Worst Month % -35.64%-59.60%

Monthly Win Rate % 69.2%15.4%

🔧 Technical Indicators

RSI (14-period) 70.9139.08

Price vs 50-Day MA % +12.99%-35.22%

Price vs 200-Day MA % +40.66%-72.78%

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 SPEC (SPEC):	0.089 (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
SPEC: Bybit