PYTH PYTH / BTT Crypto vs RAD RAD / USD 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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🤖 AI Analysis

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Asset PYTH / BTTRAD / USD

📈 Performance Metrics

Start Price 368,171.171.29

End Price 204,415.890.37

Price Change % -44.48%-71.63%

Period High 384,308.411.86

Period Low 151,061.950.36

Price Range % 154.4%411.0%

🏆 All-Time Records

All-Time High 384,308.411.86

Days Since ATH 342 days324 days

Distance From ATH % -46.8%-80.3%

All-Time Low 151,061.950.36

Distance From ATL % +35.3%+0.8%

New ATHs Hit 1 times11 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.62%3.27%

Biggest Jump (1 Day) % +171,131.86+0.26

Biggest Drop (1 Day) % -64,774.13-0.30

Days Above Avg % 43.6%30.8%

Extreme Moves days 6 (1.7%)12 (3.5%)

Stability Score % 100.0%0.0%

Trend Strength % 50.7%50.7%

Recent Momentum (10-day) % -6.00%-14.12%

📊 Statistical Measures

Average Price 236,285.500.84

Median Price 223,638.990.74

Price Std Deviation 57,515.380.30

🚀 Returns & Growth

CAGR % -46.53%-73.83%

Annualized Return % -46.53%-73.83%

Total Return % -44.48%-71.63%

⚠️ Risk & Volatility

Daily Volatility % 7.01%4.69%

Annualized Volatility % 133.95%89.51%

Max Drawdown % -60.69%-80.43%

Sharpe Ratio 0.003-0.055

Sortino Ratio 0.004-0.055

Calmar Ratio -0.767-0.918

Ulcer Index 41.3256.64

📅 Daily Performance

Win Rate % 49.3%48.2%

Positive Days 169162

Negative Days 174174

Best Day % +99.04%+37.23%

Worst Day % -18.17%-28.23%

Avg Gain (Up Days) % +3.73%+2.99%

Avg Loss (Down Days) % -3.58%-3.30%

Profit Factor 1.010.85

🔥 Streaks & Patterns

Longest Win Streak days 57

Longest Loss Streak days 87

💹 Trading Metrics

Omega Ratio 1.0110.846

Expectancy % +0.02%-0.26%

Kelly Criterion % 0.15%0.00%

📅 Weekly Performance

Best Week % +66.63%+21.26%

Worst Week % -17.57%-22.03%

Weekly Win Rate % 55.8%51.9%

📆 Monthly Performance

Best Month % +69.13%+23.33%

Worst Month % -25.63%-24.10%

Monthly Win Rate % 30.8%30.8%

🔧 Technical Indicators

RSI (14-period) 44.6133.68

Price vs 50-Day MA % -15.40%-34.40%

Price vs 200-Day MA % -0.40%-44.87%

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 RAD (RAD):	0.785 (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
RAD: Kraken