RAD RAD / SIS Crypto vs PYTH PYTH / SIS 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 RAD / SISPYTH / SIS

📈 Performance Metrics

Start Price 13.474.14

End Price 6.491.41

Price Change % -51.81%-65.89%

Period High 17.144.14

Period Low 5.741.38

Price Range % 198.5%200.0%

🏆 All-Time Records

All-Time High 17.144.14

Days Since ATH 237 days343 days

Distance From ATH % -62.1%-65.9%

All-Time Low 5.741.38

Distance From ATL % +13.0%+2.3%

New ATHs Hit 2 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.70%4.53%

Biggest Jump (1 Day) % +5.13+1.54

Biggest Drop (1 Day) % -2.18-0.71

Days Above Avg % 57.8%44.8%

Extreme Moves days 16 (4.7%)8 (2.3%)

Stability Score % 47.2%0.0%

Trend Strength % 53.1%53.1%

Recent Momentum (10-day) % -9.00%-12.26%

📊 Statistical Measures

Average Price 11.102.42

Median Price 11.472.34

Price Std Deviation 2.180.58

🚀 Returns & Growth

CAGR % -54.01%-68.16%

Annualized Return % -54.01%-68.16%

Total Return % -51.81%-65.89%

⚠️ Risk & Volatility

Daily Volatility % 5.86%7.53%

Annualized Volatility % 111.92%143.79%

Max Drawdown % -66.50%-66.67%

Sharpe Ratio -0.008-0.009

Sortino Ratio -0.010-0.012

Calmar Ratio -0.812-1.022

Ulcer Index 33.6943.86

📅 Daily Performance

Win Rate % 46.8%46.8%

Positive Days 160160

Negative Days 182182

Best Day % +42.69%+88.45%

Worst Day % -18.91%-19.58%

Avg Gain (Up Days) % +3.99%+4.87%

Avg Loss (Down Days) % -3.60%-4.42%

Profit Factor 0.970.97

🔥 Streaks & Patterns

Longest Win Streak days 59

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 0.9740.970

Expectancy % -0.05%-0.07%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +31.28%+47.45%

Worst Week % -23.24%-21.19%

Weekly Win Rate % 41.5%43.4%

📆 Monthly Performance

Best Month % +29.55%+52.70%

Worst Month % -33.37%-38.78%

Monthly Win Rate % 30.8%30.8%

🔧 Technical Indicators

RSI (14-period) 54.5144.21

Price vs 50-Day MA % -17.15%-25.08%

Price vs 200-Day MA % -38.94%-32.77%

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).

RAD (RAD) vs PYTH (PYTH):	0.524 (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

RAD: Kraken
PYTH: Kraken