PYTH PYTH / ALGO Crypto vs CTA CTA / ALGO 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 / ALGOCTA / ALGO

📈 Performance Metrics

Start Price 3.170.23

End Price 0.580.16

Price Change % -81.66%-27.40%

Period High 3.170.47

Period Low 0.410.04

Price Range % 680.8%1,064.3%

🏆 All-Time Records

All-Time High 3.170.47

Days Since ATH 343 days121 days

Distance From ATH % -81.7%-64.8%

All-Time Low 0.410.04

Distance From ATL % +43.2%+309.9%

New ATHs Hit 0 times4 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.79%6.78%

Biggest Jump (1 Day) % +0.44+0.10

Biggest Drop (1 Day) % -0.43-0.11

Days Above Avg % 27.6%46.5%

Extreme Moves days 8 (2.3%)23 (6.7%)

Stability Score % 0.0%0.0%

Trend Strength % 53.9%47.8%

Recent Momentum (10-day) % -15.39%-8.31%

📊 Statistical Measures

Average Price 0.800.14

Median Price 0.720.13

Price Std Deviation 0.390.07

🚀 Returns & Growth

CAGR % -83.55%-28.87%

Annualized Return % -83.55%-28.87%

Total Return % -81.66%-27.40%

⚠️ Risk & Volatility

Daily Volatility % 6.91%8.92%

Annualized Volatility % 132.02%170.34%

Max Drawdown % -87.19%-82.29%

Sharpe Ratio -0.0440.033

Sortino Ratio -0.0600.036

Calmar Ratio -0.958-0.351

Ulcer Index 75.8658.19

📅 Daily Performance

Win Rate % 46.1%52.2%

Positive Days 158179

Negative Days 185164

Best Day % +94.89%+49.78%

Worst Day % -26.08%-30.52%

Avg Gain (Up Days) % +3.23%+6.24%

Avg Loss (Down Days) % -3.32%-6.20%

Profit Factor 0.831.10

🔥 Streaks & Patterns

Longest Win Streak days 69

Longest Loss Streak days 108

💹 Trading Metrics

Omega Ratio 0.8321.099

Expectancy % -0.30%+0.29%

Kelly Criterion % 0.00%0.76%

📅 Weekly Performance

Best Week % +76.23%+93.42%

Worst Week % -39.02%-35.51%

Weekly Win Rate % 48.1%50.0%

📆 Monthly Performance

Best Month % +68.82%+73.82%

Worst Month % -64.60%-66.79%

Monthly Win Rate % 30.8%53.8%

🔧 Technical Indicators

RSI (14-period) 30.3339.13

Price vs 50-Day MA % -15.96%-8.69%

Price vs 200-Day MA % -6.10%-6.75%

💰 Volume Analysis

Avg Volume 8,104,91615,584,667

Total Volume 2,788,091,2205,361,125,354

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 CTA (CTA):	-0.152 (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
CTA: Bybit