PYTH PYTH / USD 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 / USDALGO / USD
📈 Performance Metrics
Start Price 0.410.42
End Price 0.070.14
Price Change % -82.78%-67.38%
Period High 0.490.47
Period Low 0.070.13
Price Range % 633.6%259.2%
🏆 All-Time Records
All-Time High 0.490.47
Days Since ATH 337 days305 days
Distance From ATH % -85.7%-70.5%
All-Time Low 0.070.13
Distance From ATL % +5.2%+5.9%
New ATHs Hit 5 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.65%3.96%
Biggest Jump (1 Day) % +0.11+0.07
Biggest Drop (1 Day) % -0.06-0.05
Days Above Avg % 29.7%37.8%
Extreme Moves days 6 (1.7%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 52.2%49.6%
Recent Momentum (10-day) % -6.89%-4.01%
📊 Statistical Measures
Average Price 0.170.24
Median Price 0.150.23
Price Std Deviation 0.090.08
🚀 Returns & Growth
CAGR % -84.62%-69.64%
Annualized Return % -84.62%-69.64%
Total Return % -82.78%-67.38%
⚠️ Risk & Volatility
Daily Volatility % 7.96%5.10%
Annualized Volatility % 152.16%97.52%
Max Drawdown % -86.37%-72.16%
Sharpe Ratio -0.031-0.038
Sortino Ratio -0.040-0.038
Calmar Ratio -0.980-0.965
Ulcer Index 67.4650.92
📅 Daily Performance
Win Rate % 47.7%50.4%
Positive Days 163173
Negative Days 179170
Best Day % +99.34%+20.68%
Worst Day % -32.57%-19.82%
Avg Gain (Up Days) % +4.65%+3.54%
Avg Loss (Down Days) % -4.71%-4.00%
Profit Factor 0.900.90
🔥 Streaks & Patterns
Longest Win Streak days 711
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 0.9000.901
Expectancy % -0.25%-0.20%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+50.20%
Worst Week % -27.08%-22.48%
Weekly Win Rate % 50.0%44.2%
📆 Monthly Performance
Best Month % +65.32%+42.39%
Worst Month % -32.91%-31.62%
Monthly Win Rate % 38.5%38.5%
🔧 Technical Indicators
RSI (14-period) 38.6342.54
Price vs 50-Day MA % -28.77%-16.87%
Price vs 200-Day MA % -43.29%-34.50%

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): 0.897 (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
ALGO: Kraken