PYTH PYTH / DEXE 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.

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🤖 AI Analysis

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Asset PYTH / DEXEALGO / USD

📈 Performance Metrics

Start Price 0.050.11

End Price 0.020.18

Price Change % -66.23%+62.69%

Period High 0.070.51

Period Low 0.010.11

Price Range % 817.8%365.6%

🏆 All-Time Records

All-Time High 0.070.51

Days Since ATH 300 days309 days

Distance From ATH % -77.4%-65.0%

All-Time Low 0.010.11

Distance From ATL % +107.2%+62.9%

New ATHs Hit 13 times21 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.40%4.39%

Biggest Jump (1 Day) % +0.02+0.12

Biggest Drop (1 Day) % -0.01-0.08

Days Above Avg % 28.8%36.0%

Extreme Moves days 10 (2.9%)17 (5.0%)

Stability Score % 0.0%0.0%

Trend Strength % 54.5%52.8%

Recent Momentum (10-day) % -8.56%-0.68%

📊 Statistical Measures

Average Price 0.020.26

Median Price 0.010.23

Price Std Deviation 0.010.08

🚀 Returns & Growth

CAGR % -68.50%+67.85%

Annualized Return % -68.50%+67.85%

Total Return % -66.23%+62.69%

⚠️ Risk & Volatility

Daily Volatility % 9.53%6.07%

Annualized Volatility % 181.98%115.91%

Max Drawdown % -89.10%-69.60%

Sharpe Ratio 0.0070.053

Sortino Ratio 0.0100.059

Calmar Ratio -0.7690.975

Ulcer Index 73.2149.48

📅 Daily Performance

Win Rate % 45.5%52.8%

Positive Days 156181

Negative Days 187162

Best Day % +101.69%+36.95%

Worst Day % -22.35%-19.82%

Avg Gain (Up Days) % +6.34%+4.31%

Avg Loss (Down Days) % -5.16%-4.13%

Profit Factor 1.021.16

🔥 Streaks & Patterns

Longest Win Streak days 711

Longest Loss Streak days 87

💹 Trading Metrics

Omega Ratio 1.0241.164

Expectancy % +0.07%+0.32%

Kelly Criterion % 0.21%1.80%

📅 Weekly Performance

Best Week % +57.13%+87.54%

Worst Week % -47.45%-22.48%

Weekly Win Rate % 50.9%45.3%

📆 Monthly Performance

Best Month % +63.86%+304.94%

Worst Month % -56.09%-31.62%

Monthly Win Rate % 53.8%38.5%

🔧 Technical Indicators

RSI (14-period) 47.8435.21

Price vs 50-Day MA % -19.86%-21.54%

Price vs 200-Day MA % +6.64%-18.70%

💰 Volume Analysis

Avg Volume 206,7678,194,797

Total Volume 71,127,8862,819,010,107

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):	0.417 (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