PYTH PYTH / PYTH Crypto vs L3 L3 / 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 / PYTHL3 / USD

📈 Performance Metrics

Start Price 1.000.09

End Price 1.000.02

Price Change % +0.00%-82.52%

Period High 1.000.14

Period Low 1.000.01

Price Range % 0.0%1,283.8%

🏆 All-Time Records

All-Time High 1.000.14

Days Since ATH 343 days262 days

Distance From ATH % +0.0%-89.1%

All-Time Low 1.000.01

Distance From ATL % +0.0%+51.5%

New ATHs Hit 0 times2 times

📌 Easy-to-Understand Stats

Avg Daily Change % 0.00%6.73%

Biggest Jump (1 Day) % +0.00+0.05

Biggest Drop (1 Day) % 0.00-0.02

Days Above Avg % 0.0%41.6%

Extreme Moves days 0 (0.0%)15 (4.4%)

Stability Score % 100.0%0.0%

Trend Strength % 0.0%56.3%

Recent Momentum (10-day) % +0.00%-49.09%

📊 Statistical Measures

Average Price 1.000.07

Median Price 1.000.06

Price Std Deviation 0.000.03

🚀 Returns & Growth

CAGR % +0.00%-84.37%

Annualized Return % +0.00%-84.37%

Total Return % +0.00%-82.52%

⚠️ Risk & Volatility

Daily Volatility % 0.00%10.50%

Annualized Volatility % 0.00%200.60%

Max Drawdown % -0.00%-92.77%

Sharpe Ratio 0.0000.000

Sortino Ratio 0.0000.000

Calmar Ratio 0.000-0.909

Ulcer Index 0.0054.81

📅 Daily Performance

Win Rate % 0.0%42.9%

Positive Days 0145

Negative Days 0193

Best Day % +0.00%+67.68%

Worst Day % 0.00%-45.90%

Avg Gain (Up Days) % +0.00%+7.76%

Avg Loss (Down Days) % -0.00%-5.83%

Profit Factor 0.001.00

🔥 Streaks & Patterns

Longest Win Streak days 07

Longest Loss Streak days 09

💹 Trading Metrics

Omega Ratio 0.0001.000

Expectancy % +0.00%+0.00%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +0.00%+62.01%

Worst Week % 0.00%-36.01%

Weekly Win Rate % 0.0%44.2%

📆 Monthly Performance

Best Month % +0.00%+49.53%

Worst Month % 0.00%-56.57%

Monthly Win Rate % 0.0%38.5%

🔧 Technical Indicators

RSI (14-period) 100.0041.78

Price vs 50-Day MA % +0.00%-49.15%

Price vs 200-Day MA % +0.00%-68.15%

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 L3 (L3):	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
L3: Kraken