PYTH PYTH / FRAG Crypto vs RENDER RENDER / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

Asset PYTH / FRAGRENDER / USD
📈 Performance Metrics
Start Price 1.064.77
End Price 5.223.35
Price Change % +391.13%-29.79%
Period High 5.2610.49
Period Low 1.062.73
Price Range % 395.3%284.1%
🏆 All-Time Records
All-Time High 5.2610.49
Days Since ATH 3 days307 days
Distance From ATH % -0.8%-68.1%
All-Time Low 1.062.73
Distance From ATL % +391.1%+22.7%
New ATHs Hit 16 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.76%4.16%
Biggest Jump (1 Day) % +2.58+1.42
Biggest Drop (1 Day) % -0.78-1.35
Days Above Avg % 42.6%28.2%
Extreme Moves days 4 (4.0%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 52.0%51.3%
Recent Momentum (10-day) % +18.62%-2.87%
📊 Statistical Measures
Average Price 3.294.80
Median Price 2.964.06
Price Std Deviation 1.091.78
🚀 Returns & Growth
CAGR % +33,232.11%-31.37%
Annualized Return % +33,232.11%-31.37%
Total Return % +391.13%-29.79%
⚠️ Risk & Volatility
Daily Volatility % 12.43%5.33%
Annualized Volatility % 237.44%101.85%
Max Drawdown % -33.28%-73.97%
Sharpe Ratio 0.1770.007
Sortino Ratio 0.3260.008
Calmar Ratio 998.437-0.424
Ulcer Index 15.3655.52
📅 Daily Performance
Win Rate % 52.0%48.7%
Positive Days 52167
Negative Days 48176
Best Day % +96.20%+23.05%
Worst Day % -27.24%-16.14%
Avg Gain (Up Days) % +8.40%+4.26%
Avg Loss (Down Days) % -4.52%-3.97%
Profit Factor 2.011.02
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 2.0151.019
Expectancy % +2.20%+0.04%
Kelly Criterion % 5.80%0.22%
📅 Weekly Performance
Best Week % +68.49%+34.12%
Worst Week % -17.54%-24.59%
Weekly Win Rate % 80.0%54.9%
📆 Monthly Performance
Best Month % +114.02%+89.35%
Worst Month % 6.69%-29.02%
Monthly Win Rate % 100.0%30.8%
🔧 Technical Indicators
RSI (14-period) 73.8351.64
Price vs 50-Day MA % +24.34%-7.58%
Price vs 200-Day MA % N/A-12.80%
💰 Volume Analysis
Avg Volume 76,099,715280,173
Total Volume 7,686,071,22796,379,418

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 RENDER (RENDER): -0.041 (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

PYTH: Kraken
RENDER: Kraken
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