PYTH PYTH / NODL Crypto vs ALGO ALGO / 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 / NODLALGO / USD
📈 Performance Metrics
Start Price 163.140.15
End Price 657.670.18
Price Change % +303.13%+21.13%
Period High 755.050.51
Period Low 43.900.15
Price Range % 1,620.1%250.0%
🏆 All-Time Records
All-Time High 755.050.51
Days Since ATH 9 days316 days
Distance From ATH % -12.9%-65.4%
All-Time Low 43.900.15
Distance From ATL % +1,398.2%+21.2%
New ATHs Hit 21 times15 times
📌 Easy-to-Understand Stats
Avg Daily Change % 9.25%4.41%
Biggest Jump (1 Day) % +283.76+0.12
Biggest Drop (1 Day) % -213.76-0.08
Days Above Avg % 28.8%36.0%
Extreme Moves days 9 (2.6%)18 (5.2%)
Stability Score % 93.0%0.0%
Trend Strength % 53.9%51.9%
Recent Momentum (10-day) % +17.68%-23.02%
📊 Statistical Measures
Average Price 203.930.26
Median Price 154.410.23
Price Std Deviation 132.660.08
🚀 Returns & Growth
CAGR % +340.84%+22.63%
Annualized Return % +340.84%+22.63%
Total Return % +303.13%+21.13%
⚠️ Risk & Volatility
Daily Volatility % 14.22%6.12%
Annualized Volatility % 271.60%116.83%
Max Drawdown % -89.37%-69.76%
Sharpe Ratio 0.1000.039
Sortino Ratio 0.1230.044
Calmar Ratio 3.8140.324
Ulcer Index 30.8950.40
📅 Daily Performance
Win Rate % 54.1%51.9%
Positive Days 185178
Negative Days 157165
Best Day % +128.90%+36.95%
Worst Day % -82.96%-19.82%
Avg Gain (Up Days) % +9.12%+4.32%
Avg Loss (Down Days) % -7.64%-4.17%
Profit Factor 1.411.12
🔥 Streaks & Patterns
Longest Win Streak days 811
Longest Loss Streak days 57
💹 Trading Metrics
Omega Ratio 1.4061.118
Expectancy % +1.42%+0.24%
Kelly Criterion % 2.05%1.31%
📅 Weekly Performance
Best Week % +272.76%+87.54%
Worst Week % -25.30%-22.48%
Weekly Win Rate % 56.6%45.3%
📆 Monthly Performance
Best Month % +216.39%+204.48%
Worst Month % -34.22%-31.62%
Monthly Win Rate % 53.8%38.5%
🔧 Technical Indicators
RSI (14-period) 59.2138.00
Price vs 50-Day MA % +37.52%-18.16%
Price vs 200-Day MA % +145.18%-19.22%

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 ALGO (ALGO): -0.314 (Moderate negative)

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
ALGO: Kraken