PYTH PYTH / ALGO Crypto vs ZORA ZORA / ALGO 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 / ALGOZORA / ALGO

📈 Performance Metrics

Start Price 1.020.09

End Price 0.530.38

Price Change % -48.58%+324.02%

Period High 1.150.48

Period Low 0.410.04

Price Range % 183.5%1,178.9%

🏆 All-Time Records

All-Time High 1.150.48

Days Since ATH 337 days112 days

Distance From ATH % -54.3%-20.8%

All-Time Low 0.410.04

Distance From ATL % +29.6%+912.4%

New ATHs Hit 5 times8 times

📌 Easy-to-Understand Stats

Avg Daily Change % 2.70%6.21%

Biggest Jump (1 Day) % +0.44+0.15

Biggest Drop (1 Day) % -0.12-0.06

Days Above Avg % 54.4%57.8%

Extreme Moves days 6 (1.7%)9 (4.1%)

Stability Score % 0.0%0.0%

Trend Strength % 54.8%44.6%

Recent Momentum (10-day) % +0.52%+5.61%

📊 Statistical Measures

Average Price 0.670.22

Median Price 0.690.26

Price Std Deviation 0.140.15

🚀 Returns & Growth

CAGR % -50.73%+975.24%

Annualized Return % -50.73%+975.24%

Total Return % -48.58%+324.02%

⚠️ Risk & Volatility

Daily Volatility % 6.31%11.69%

Annualized Volatility % 120.53%223.25%

Max Drawdown % -64.72%-63.47%

Sharpe Ratio -0.0070.104

Sortino Ratio -0.0120.188

Calmar Ratio -0.78415.365

Ulcer Index 43.7839.10

📅 Daily Performance

Win Rate % 45.0%44.8%

Positive Days 15499

Negative Days 188122

Best Day % +94.89%+72.11%

Worst Day % -15.91%-18.66%

Avg Gain (Up Days) % +2.96%+8.98%

Avg Loss (Down Days) % -2.51%-5.07%

Profit Factor 0.971.44

🔥 Streaks & Patterns

Longest Win Streak days 66

Longest Loss Streak days 106

💹 Trading Metrics

Omega Ratio 0.9681.437

Expectancy % -0.04%+1.22%

Kelly Criterion % 0.00%2.69%

📅 Weekly Performance

Best Week % +76.23%+232.21%

Worst Week % -17.04%-20.05%

Weekly Win Rate % 48.1%38.2%

📆 Monthly Performance

Best Month % +68.82%+443.67%

Worst Month % -21.88%-31.63%

Monthly Win Rate % 38.5%44.4%

🔧 Technical Indicators

RSI (14-period) 56.5854.91

Price vs 50-Day MA % -2.46%+2.45%

Price vs 200-Day MA % -8.98%+59.33%

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 ZORA (ZORA):	-0.221 (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
ZORA: Kraken