PYTH PYTH / USD Crypto vs NOS NOS / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / USDNOS / USD
📈 Performance Metrics
Start Price 0.413.07
End Price 0.080.26
Price Change % -79.52%-91.50%
Period High 0.534.18
Period Low 0.080.24
Price Range % 527.0%1,635.7%
🏆 All-Time Records
All-Time High 0.534.18
Days Since ATH 330 days332 days
Distance From ATH % -84.0%-93.8%
All-Time Low 0.080.24
Distance From ATL % +0.0%+8.3%
New ATHs Hit 10 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.48%5.57%
Biggest Jump (1 Day) % +0.11+0.55
Biggest Drop (1 Day) % -0.09-0.52
Days Above Avg % 29.4%28.2%
Extreme Moves days 7 (2.0%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%61.2%
Recent Momentum (10-day) % -10.83%-23.62%
📊 Statistical Measures
Average Price 0.201.24
Median Price 0.150.74
Price Std Deviation 0.111.05
🚀 Returns & Growth
CAGR % -81.50%-92.74%
Annualized Return % -81.50%-92.74%
Total Return % -79.52%-91.50%
⚠️ Risk & Volatility
Daily Volatility % 8.00%7.95%
Annualized Volatility % 152.84%151.88%
Max Drawdown % -84.05%-94.24%
Sharpe Ratio -0.024-0.052
Sortino Ratio -0.030-0.066
Calmar Ratio -0.970-0.984
Ulcer Index 66.2174.59
📅 Daily Performance
Win Rate % 49.1%38.1%
Positive Days 168129
Negative Days 174210
Best Day % +99.34%+42.97%
Worst Day % -32.57%-34.04%
Avg Gain (Up Days) % +4.55%+6.60%
Avg Loss (Down Days) % -4.77%-4.73%
Profit Factor 0.920.86
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 69
💹 Trading Metrics
Omega Ratio 0.9210.856
Expectancy % -0.19%-0.42%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+127.96%
Worst Week % -27.08%-33.82%
Weekly Win Rate % 51.9%38.5%
📆 Monthly Performance
Best Month % +65.32%+60.63%
Worst Month % -31.62%-46.19%
Monthly Win Rate % 38.5%23.1%
🔧 Technical Indicators
RSI (14-period) 47.2833.60
Price vs 50-Day MA % -37.52%-54.32%
Price vs 200-Day MA % -36.20%-58.02%

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 NOS (NOS): 0.970 (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
NOS: Kraken