PYTH PYTH / DATA Crypto vs CFX CFX / 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 / DATACFX / USD

📈 Performance Metrics

Start Price 11.340.16

End Price 12.990.10

Price Change % +14.53%-36.47%

Period High 14.210.26

Period Low 5.250.06

Price Range % 170.5%303.3%

🏆 All-Time Records

All-Time High 14.210.26

Days Since ATH 7 days319 days

Distance From ATH % -8.6%-60.1%

All-Time Low 5.250.06

Distance From ATL % +147.3%+61.1%

New ATHs Hit 5 times11 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.12%4.54%

Biggest Jump (1 Day) % +6.44+0.11

Biggest Drop (1 Day) % -1.68-0.05

Days Above Avg % 37.5%48.5%

Extreme Moves days 8 (2.3%)9 (2.6%)

Stability Score % 22.2%0.0%

Trend Strength % 45.2%50.4%

Recent Momentum (10-day) % +18.89%-30.01%

📊 Statistical Measures

Average Price 8.790.13

Median Price 8.510.12

Price Std Deviation 1.560.05

🚀 Returns & Growth

CAGR % +15.53%-38.29%

Annualized Return % +15.53%-38.29%

Total Return % +14.53%-36.47%

⚠️ Risk & Volatility

Daily Volatility % 6.84%8.23%

Annualized Volatility % 130.59%157.17%

Max Drawdown % -55.05%-75.20%

Sharpe Ratio 0.0330.017

Sortino Ratio 0.0530.024

Calmar Ratio 0.282-0.509

Ulcer Index 28.6151.80

📅 Daily Performance

Win Rate % 45.2%48.7%

Positive Days 155164

Negative Days 188173

Best Day % +94.28%+107.26%

Worst Day % -24.21%-30.32%

Avg Gain (Up Days) % +3.80%+4.82%

Avg Loss (Down Days) % -2.72%-4.29%

Profit Factor 1.151.07

🔥 Streaks & Patterns

Longest Win Streak days 57

Longest Loss Streak days 87

💹 Trading Metrics

Omega Ratio 1.1511.066

Expectancy % +0.23%+0.15%

Kelly Criterion % 2.18%0.71%

📅 Weekly Performance

Best Week % +59.89%+116.01%

Worst Week % -37.16%-25.37%

Weekly Win Rate % 57.7%46.2%

📆 Monthly Performance

Best Month % +51.37%+195.32%

Worst Month % -28.92%-31.44%

Monthly Win Rate % 53.8%23.1%

🔧 Technical Indicators

RSI (14-period) 68.4735.95

Price vs 50-Day MA % +14.23%-32.50%

Price vs 200-Day MA % +47.00%-15.51%

💰 Volume Analysis

Avg Volume 107,135,325102,662,123

Total Volume 36,854,551,92635,315,770,451

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 CFX (CFX):	0.144 (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
CFX: Binance