PYTH PYTH / CFX Crypto vs ALGO ALGO / 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 / CFXALGO / USD

📈 Performance Metrics

Start Price 2.590.16

End Price 1.020.18

Price Change % -60.62%+15.04%

Period High 2.940.51

Period Low 0.520.15

Price Range % 460.8%250.0%

🏆 All-Time Records

All-Time High 2.940.51

Days Since ATH 335 days318 days

Distance From ATH % -65.3%-65.0%

All-Time Low 0.520.15

Distance From ATL % +94.7%+22.6%

New ATHs Hit 4 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.12%4.41%

Biggest Jump (1 Day) % +0.50+0.12

Biggest Drop (1 Day) % -0.59-0.08

Days Above Avg % 54.7%36.0%

Extreme Moves days 7 (2.0%)18 (5.2%)

Stability Score % 0.0%0.0%

Trend Strength % 50.4%52.2%

Recent Momentum (10-day) % -4.45%-20.00%

📊 Statistical Measures

Average Price 1.590.26

Median Price 1.730.23

Price Std Deviation 0.550.08

🚀 Returns & Growth

CAGR % -62.90%+16.08%

Annualized Return % -62.90%+16.08%

Total Return % -60.62%+15.04%

⚠️ Risk & Volatility

Daily Volatility % 6.44%6.11%

Annualized Volatility % 123.03%116.73%

Max Drawdown % -82.17%-69.76%

Sharpe Ratio -0.0120.036

Sortino Ratio -0.0130.041

Calmar Ratio -0.7660.231

Ulcer Index 49.6950.63

📅 Daily Performance

Win Rate % 49.6%52.2%

Positive Days 170179

Negative Days 173164

Best Day % +74.44%+36.95%

Worst Day % -47.11%-19.82%

Avg Gain (Up Days) % +3.26%+4.28%

Avg Loss (Down Days) % -3.35%-4.21%

Profit Factor 0.961.11

🔥 Streaks & Patterns

Longest Win Streak days 911

Longest Loss Streak days 107

💹 Trading Metrics

Omega Ratio 0.9561.110

Expectancy % -0.07%+0.22%

Kelly Criterion % 0.00%1.23%

📅 Weekly Performance

Best Week % +48.76%+87.54%

Worst Week % -43.63%-22.48%

Weekly Win Rate % 48.1%46.2%

📆 Monthly Performance

Best Month % +67.93%+186.09%

Worst Month % -60.62%-31.62%

Monthly Win Rate % 46.2%38.5%

🔧 Technical Indicators

RSI (14-period) 35.8439.09

Price vs 50-Day MA % +1.43%-16.58%

Price vs 200-Day MA % -18.35%-18.34%

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 ALGO (ALGO):	0.364 (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
ALGO: Kraken