RAD RAD / FTT Crypto vs PYTH PYTH / FTT 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 RAD / FTTPYTH / FTT
📈 Performance Metrics
Start Price 0.580.18
End Price 0.550.12
Price Change % -6.30%-33.67%
Period High 0.920.26
Period Low 0.340.09
Price Range % 168.6%189.5%
🏆 All-Time Records
All-Time High 0.920.26
Days Since ATH 199 days66 days
Distance From ATH % -40.9%-55.1%
All-Time Low 0.340.09
Distance From ATL % +58.7%+30.1%
New ATHs Hit 8 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.54%4.32%
Biggest Jump (1 Day) % +0.25+0.13
Biggest Drop (1 Day) % -0.20-0.05
Days Above Avg % 56.4%33.7%
Extreme Moves days 16 (4.7%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 46.6%50.7%
Recent Momentum (10-day) % -0.52%-4.26%
📊 Statistical Measures
Average Price 0.650.14
Median Price 0.670.13
Price Std Deviation 0.140.03
🚀 Returns & Growth
CAGR % -6.69%-35.40%
Annualized Return % -6.69%-35.40%
Total Return % -6.30%-33.67%
⚠️ Risk & Volatility
Daily Volatility % 5.96%7.79%
Annualized Volatility % 113.81%148.87%
Max Drawdown % -48.34%-56.82%
Sharpe Ratio 0.0270.018
Sortino Ratio 0.0260.023
Calmar Ratio -0.138-0.623
Ulcer Index 25.1838.85
📅 Daily Performance
Win Rate % 53.2%49.1%
Positive Days 182168
Negative Days 160174
Best Day % +42.70%+95.03%
Worst Day % -26.40%-29.08%
Avg Gain (Up Days) % +3.66%+4.51%
Avg Loss (Down Days) % -3.82%-4.07%
Profit Factor 1.091.07
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 58
💹 Trading Metrics
Omega Ratio 1.0891.069
Expectancy % +0.16%+0.14%
Kelly Criterion % 1.14%0.77%
📅 Weekly Performance
Best Week % +25.83%+73.25%
Worst Week % -23.67%-28.61%
Weekly Win Rate % 43.4%49.1%
📆 Monthly Performance
Best Month % +34.46%+84.19%
Worst Month % -42.51%-52.59%
Monthly Win Rate % 69.2%53.8%
🔧 Technical Indicators
RSI (14-period) 48.1920.72
Price vs 50-Day MA % -13.15%-21.64%
Price vs 200-Day MA % -23.96%-17.62%

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): 0.492 (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