PYTH PYTH / ALGO Crypto vs ARPA ARPA / 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 / ALGOARPA / USD
📈 Performance Metrics
Start Price 2.700.05
End Price 0.560.02
Price Change % -79.09%-67.30%
Period High 2.810.07
Period Low 0.410.02
Price Range % 593.6%370.0%
🏆 All-Time Records
All-Time High 2.810.07
Days Since ATH 342 days317 days
Distance From ATH % -80.0%-76.7%
All-Time Low 0.410.02
Distance From ATL % +39.0%+9.6%
New ATHs Hit 1 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.73%3.72%
Biggest Jump (1 Day) % +0.44+0.01
Biggest Drop (1 Day) % -0.43-0.01
Days Above Avg % 29.9%32.8%
Extreme Moves days 8 (2.3%)19 (5.5%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%49.6%
Recent Momentum (10-day) % -16.28%-16.89%
📊 Statistical Measures
Average Price 0.780.03
Median Price 0.710.02
Price Std Deviation 0.330.01
🚀 Returns & Growth
CAGR % -81.08%-69.56%
Annualized Return % -81.08%-69.56%
Total Return % -79.09%-67.30%
⚠️ Risk & Volatility
Daily Volatility % 6.90%4.98%
Annualized Volatility % 131.75%95.18%
Max Drawdown % -85.58%-78.73%
Sharpe Ratio -0.038-0.040
Sortino Ratio -0.053-0.039
Calmar Ratio -0.947-0.884
Ulcer Index 73.3960.48
📅 Daily Performance
Win Rate % 46.1%49.6%
Positive Days 158167
Negative Days 185170
Best Day % +94.89%+22.62%
Worst Day % -26.08%-19.91%
Avg Gain (Up Days) % +3.24%+3.44%
Avg Loss (Down Days) % -3.26%-3.78%
Profit Factor 0.850.89
🔥 Streaks & Patterns
Longest Win Streak days 611
Longest Loss Streak days 107
💹 Trading Metrics
Omega Ratio 0.8500.893
Expectancy % -0.26%-0.20%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +76.23%+17.22%
Worst Week % -39.02%-22.35%
Weekly Win Rate % 50.0%48.1%
📆 Monthly Performance
Best Month % +68.82%+19.82%
Worst Month % -58.42%-33.45%
Monthly Win Rate % 30.8%15.4%
🔧 Technical Indicators
RSI (14-period) 24.9136.69
Price vs 50-Day MA % -16.95%-16.94%
Price vs 200-Day MA % -8.50%-21.90%

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 ARPA (ARPA): 0.674 (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
ARPA: Kraken