PYTH PYTH / UNI Crypto vs NODL NODL / 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 / UNINODL / USD
📈 Performance Metrics
Start Price 0.050.00
End Price 0.010.00
Price Change % -73.85%-95.00%
Period High 0.050.00
Period Low 0.010.00
Price Range % 352.7%2,748.6%
🏆 All-Time Records
All-Time High 0.050.00
Days Since ATH 340 days322 days
Distance From ATH % -75.2%-96.5%
All-Time Low 0.010.00
Distance From ATL % +12.5%+0.0%
New ATHs Hit 3 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.46%6.98%
Biggest Jump (1 Day) % +0.01+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 51.5%38.7%
Extreme Moves days 6 (1.7%)2 (0.6%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%58.3%
Recent Momentum (10-day) % -18.59%-40.29%
📊 Statistical Measures
Average Price 0.020.00
Median Price 0.020.00
Price Std Deviation 0.010.00
🚀 Returns & Growth
CAGR % -76.01%-95.87%
Annualized Return % -76.01%-95.87%
Total Return % -73.85%-95.00%
⚠️ Risk & Volatility
Daily Volatility % 6.94%29.08%
Annualized Volatility % 132.68%555.66%
Max Drawdown % -77.91%-96.49%
Sharpe Ratio -0.0280.021
Sortino Ratio -0.0410.065
Calmar Ratio -0.976-0.994
Ulcer Index 57.2770.09
📅 Daily Performance
Win Rate % 46.1%40.5%
Positive Days 158136
Negative Days 185200
Best Day % +96.02%+504.72%
Worst Day % -27.61%-53.80%
Avg Gain (Up Days) % +3.54%+11.17%
Avg Loss (Down Days) % -3.39%-6.53%
Profit Factor 0.891.16
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 0.8921.164
Expectancy % -0.20%+0.64%
Kelly Criterion % 0.00%0.87%
📅 Weekly Performance
Best Week % +67.34%+44.92%
Worst Week % -25.03%-74.99%
Weekly Win Rate % 50.0%23.1%
📆 Monthly Performance
Best Month % +55.70%+76.80%
Worst Month % -34.43%-47.75%
Monthly Win Rate % 38.5%23.1%
🔧 Technical Indicators
RSI (14-period) 19.6538.25
Price vs 50-Day MA % -31.81%-54.60%
Price vs 200-Day MA % -32.41%-76.81%

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 NODL (NODL): 0.679 (Moderate 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
NODL: Kraken