ARPA ARPA / PYTH Crypto vs PYTH PYTH / PYTH Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset ARPA / PYTHPYTH / PYTH
📈 Performance Metrics
Start Price 0.121.00
End Price 0.171.00
Price Change % +41.93%+0.00%
Period High 0.231.00
Period Low 0.101.00
Price Range % 132.0%0.0%
🏆 All-Time Records
All-Time High 0.231.00
Days Since ATH 105 days343 days
Distance From ATH % -25.4%+0.0%
All-Time Low 0.101.00
Distance From ATL % +73.0%+0.0%
New ATHs Hit 13 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.98%0.00%
Biggest Jump (1 Day) % +0.05+0.00
Biggest Drop (1 Day) % -0.100.00
Days Above Avg % 54.4%0.0%
Extreme Moves days 10 (2.9%)0 (0.0%)
Stability Score % 0.0%100.0%
Trend Strength % 52.8%0.0%
Recent Momentum (10-day) % +7.14%+0.00%
📊 Statistical Measures
Average Price 0.161.00
Median Price 0.171.00
Price Std Deviation 0.030.00
🚀 Returns & Growth
CAGR % +45.16%+0.00%
Annualized Return % +45.16%+0.00%
Total Return % +41.93%+0.00%
⚠️ Risk & Volatility
Daily Volatility % 5.40%0.00%
Annualized Volatility % 103.25%0.00%
Max Drawdown % -56.89%-0.00%
Sharpe Ratio 0.0490.000
Sortino Ratio 0.0490.000
Calmar Ratio 0.7940.000
Ulcer Index 19.820.00
📅 Daily Performance
Win Rate % 52.8%0.0%
Positive Days 1810
Negative Days 1620
Best Day % +35.88%+0.00%
Worst Day % -50.78%0.00%
Avg Gain (Up Days) % +3.06%+0.00%
Avg Loss (Down Days) % -2.87%-0.00%
Profit Factor 1.190.00
🔥 Streaks & Patterns
Longest Win Streak days 70
Longest Loss Streak days 70
💹 Trading Metrics
Omega Ratio 1.1940.000
Expectancy % +0.26%+0.00%
Kelly Criterion % 2.99%0.00%
📅 Weekly Performance
Best Week % +30.81%+0.00%
Worst Week % -36.59%0.00%
Weekly Win Rate % 53.8%0.0%
📆 Monthly Performance
Best Month % +15.39%+0.00%
Worst Month % -36.47%0.00%
Monthly Win Rate % 53.8%0.0%
🔧 Technical Indicators
RSI (14-period) 78.27100.00
Price vs 50-Day MA % +22.72%+0.00%
Price vs 200-Day MA % +1.14%+0.00%

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).

ARPA (ARPA) vs PYTH (PYTH): 0.000 (Weak)

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

ARPA: Kraken
PYTH: Kraken