PYTH PYTH / USD Crypto vs NYM NYM / 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 / USDNYM / USD

📈 Performance Metrics

Start Price 0.410.10

End Price 0.080.04

Price Change % -79.52%-59.11%

Period High 0.530.13

Period Low 0.080.04

Price Range % 527.0%227.3%

🏆 All-Time Records

All-Time High 0.530.13

Days Since ATH 330 days316 days

Distance From ATH % -84.0%-68.7%

All-Time Low 0.080.04

Distance From ATL % +0.0%+2.5%

New ATHs Hit 10 times9 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.48%2.94%

Biggest Jump (1 Day) % +0.11+0.01

Biggest Drop (1 Day) % -0.09-0.01

Days Above Avg % 29.4%28.8%

Extreme Moves days 7 (2.0%)20 (5.8%)

Stability Score % 0.0%0.0%

Trend Strength % 50.7%53.6%

Recent Momentum (10-day) % -10.83%-0.07%

📊 Statistical Measures

Average Price 0.200.06

Median Price 0.150.05

Price Std Deviation 0.110.02

🚀 Returns & Growth

CAGR % -81.50%-61.39%

Annualized Return % -81.50%-61.39%

Total Return % -79.52%-59.11%

⚠️ Risk & Volatility

Daily Volatility % 8.00%4.39%

Annualized Volatility % 152.84%83.92%

Max Drawdown % -84.05%-69.44%

Sharpe Ratio -0.024-0.038

Sortino Ratio -0.030-0.040

Calmar Ratio -0.970-0.884

Ulcer Index 66.2155.78

📅 Daily Performance

Win Rate % 49.1%44.7%

Positive Days 168149

Negative Days 174184

Best Day % +99.34%+21.00%

Worst Day % -32.57%-14.88%

Avg Gain (Up Days) % +4.55%+3.29%

Avg Loss (Down Days) % -4.77%-2.97%

Profit Factor 0.920.90

🔥 Streaks & Patterns

Longest Win Streak days 75

Longest Loss Streak days 613

💹 Trading Metrics

Omega Ratio 0.9210.896

Expectancy % -0.19%-0.17%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+25.17%

Worst Week % -27.08%-32.14%

Weekly Win Rate % 51.9%46.2%

📆 Monthly Performance

Best Month % +65.32%+22.83%

Worst Month % -31.62%-43.97%

Monthly Win Rate % 38.5%30.8%

🔧 Technical Indicators

RSI (14-period) 47.2847.44

Price vs 50-Day MA % -37.52%-15.51%

Price vs 200-Day MA % -36.20%-13.03%

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 NYM (NYM):	0.947 (Strong 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
NYM: Kraken