ARPA ARPA / PYTH Crypto vs MCDX MCDX / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset ARPA / PYTHMCDX / USD

📈 Performance Metrics

Start Price 0.12292.49

End Price 0.18308.75

Price Change % +46.80%+5.56%

Period High 0.23317.22

Period Low 0.10292.11

Price Range % 132.0%8.6%

🏆 All-Time Records

All-Time High 0.23317.22

Days Since ATH 117 days53 days

Distance From ATH % -22.0%-2.7%

All-Time Low 0.10292.11

Distance From ATL % +81.0%+5.7%

New ATHs Hit 11 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.00%0.72%

Biggest Jump (1 Day) % +0.05+8.31

Biggest Drop (1 Day) % -0.10-7.05

Days Above Avg % 56.4%46.4%

Extreme Moves days 10 (2.9%)9 (8.1%)

Stability Score % 0.0%99.7%

Trend Strength % 53.6%54.1%

Recent Momentum (10-day) % +10.12%+2.24%

📊 Statistical Measures

Average Price 0.16303.98

Median Price 0.17303.11

Price Std Deviation 0.026.03

🚀 Returns & Growth

CAGR % +50.45%+19.47%

Annualized Return % +50.45%+19.47%

Total Return % +46.80%+5.56%

⚠️ Risk & Volatility

Daily Volatility % 5.42%0.95%

Annualized Volatility % 103.62%18.23%

Max Drawdown % -56.89%-7.20%

Sharpe Ratio 0.0500.056

Sortino Ratio 0.0500.056

Calmar Ratio 0.8872.703

Ulcer Index 20.343.20

📅 Daily Performance

Win Rate % 53.8%55.6%

Positive Days 18460

Negative Days 15848

Best Day % +35.88%+2.78%

Worst Day % -50.78%-2.29%

Avg Gain (Up Days) % +3.04%+0.71%

Avg Loss (Down Days) % -2.95%-0.77%

Profit Factor 1.201.16

🔥 Streaks & Patterns

Longest Win Streak days 74

Longest Loss Streak days 74

💹 Trading Metrics

Omega Ratio 1.2011.160

Expectancy % +0.27%+0.05%

Kelly Criterion % 3.06%9.97%

📅 Weekly Performance

Best Week % +30.81%+3.00%

Worst Week % -36.59%-2.55%

Weekly Win Rate % 50.9%61.1%

📆 Monthly Performance

Best Month % +15.39%+3.14%

Worst Month % -36.47%-3.15%

Monthly Win Rate % 53.8%60.0%

🔧 Technical Indicators

RSI (14-period) 59.4467.44

Price vs 50-Day MA % +20.85%+1.88%

Price vs 200-Day MA % +5.88%N/A

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 MCDX (MCDX):	-0.218 (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
MCDX: Bybit