PYTH PYTH / PYTH Crypto vs ZEC ZEC / PYTH 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 / PYTHZEC / PYTH

📈 Performance Metrics

Start Price 1.00132.25

End Price 1.006,941.19

Price Change % +0.00%+5,148.49%

Period High 1.008,111.84

Period Low 1.00114.39

Price Range % 0.0%6,991.5%

🏆 All-Time Records

All-Time High 1.008,111.84

Days Since ATH 343 days22 days

Distance From ATH % +0.0%-14.4%

All-Time Low 1.00114.39

Distance From ATL % +0.0%+5,968.1%

New ATHs Hit 0 times53 times

📌 Easy-to-Understand Stats

Avg Daily Change % 0.00%7.55%

Biggest Jump (1 Day) % +0.00+2,663.33

Biggest Drop (1 Day) % 0.00-1,241.63

Days Above Avg % 0.0%13.4%

Extreme Moves days 0 (0.0%)4 (1.2%)

Stability Score % 100.0%98.5%

Trend Strength % 0.0%57.1%

Recent Momentum (10-day) % +0.00%-7.93%

📊 Statistical Measures

Average Price 1.00981.29

Median Price 1.00297.28

Price Std Deviation 0.001,906.79

🚀 Returns & Growth

CAGR % +0.00%+6,666.39%

Annualized Return % +0.00%+6,666.39%

Total Return % +0.00%+5,148.49%

⚠️ Risk & Volatility

Daily Volatility % 0.00%14.89%

Annualized Volatility % 0.00%284.44%

Max Drawdown % -0.00%-59.08%

Sharpe Ratio 0.0000.120

Sortino Ratio 0.0000.255

Calmar Ratio 0.000112.839

Ulcer Index 0.0021.66

📅 Daily Performance

Win Rate % 0.0%57.1%

Positive Days 0196

Negative Days 0147

Best Day % +0.00%+240.22%

Worst Day % 0.00%-49.66%

Avg Gain (Up Days) % +0.00%+6.32%

Avg Loss (Down Days) % -0.00%-4.26%

Profit Factor 0.001.98

🔥 Streaks & Patterns

Longest Win Streak days 011

Longest Loss Streak days 05

💹 Trading Metrics

Omega Ratio 0.0001.976

Expectancy % +0.00%+1.78%

Kelly Criterion % 0.00%6.62%

📅 Weekly Performance

Best Week % +0.00%+110.82%

Worst Week % 0.00%-38.24%

Weekly Win Rate % 0.0%51.9%

📆 Monthly Performance

Best Month % +0.00%+100.91%

Worst Month % 0.00%-31.27%

Monthly Win Rate % 0.0%61.5%

🔧 Technical Indicators

RSI (14-period) 100.0060.03

Price vs 50-Day MA % +0.00%+34.44%

Price vs 200-Day MA % +0.00%+347.80%

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 ZEC (ZEC):	0.000 (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
ZEC: Coinbase