PYTH PYTH / DOT 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 / DOTRENDER / USD
📈 Performance Metrics
Start Price 0.094.77
End Price 0.043.35
Price Change % -58.93%-29.79%
Period High 0.1010.49
Period Low 0.032.73
Price Range % 258.6%284.1%
🏆 All-Time Records
All-Time High 0.1010.49
Days Since ATH 336 days307 days
Distance From ATH % -59.5%-68.1%
All-Time Low 0.032.73
Distance From ATL % +45.0%+22.7%
New ATHs Hit 2 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.92%4.16%
Biggest Jump (1 Day) % +0.03+1.42
Biggest Drop (1 Day) % -0.01-1.35
Days Above Avg % 36.6%28.2%
Extreme Moves days 5 (1.5%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%51.3%
Recent Momentum (10-day) % +0.27%-2.87%
📊 Statistical Measures
Average Price 0.044.80
Median Price 0.044.06
Price Std Deviation 0.011.78
🚀 Returns & Growth
CAGR % -61.21%-31.37%
Annualized Return % -61.21%-31.37%
Total Return % -58.93%-29.79%
⚠️ Risk & Volatility
Daily Volatility % 6.21%5.33%
Annualized Volatility % 118.57%101.85%
Max Drawdown % -72.11%-73.97%
Sharpe Ratio -0.0180.007
Sortino Ratio -0.0290.008
Calmar Ratio -0.849-0.424
Ulcer Index 58.4755.52
📅 Daily Performance
Win Rate % 45.5%48.7%
Positive Days 156167
Negative Days 187176
Best Day % +91.84%+23.05%
Worst Day % -22.16%-16.14%
Avg Gain (Up Days) % +2.98%+4.26%
Avg Loss (Down Days) % -2.69%-3.97%
Profit Factor 0.921.02
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 0.9241.019
Expectancy % -0.11%+0.04%
Kelly Criterion % 0.00%0.22%
📅 Weekly Performance
Best Week % +65.44%+34.12%
Worst Week % -28.59%-24.59%
Weekly Win Rate % 39.2%54.9%
📆 Monthly Performance
Best Month % +56.66%+89.35%
Worst Month % -41.85%-29.02%
Monthly Win Rate % 46.2%30.8%
🔧 Technical Indicators
RSI (14-period) 61.4051.64
Price vs 50-Day MA % -0.64%-7.58%
Price vs 200-Day MA % +14.75%-12.80%
💰 Volume Analysis
Avg Volume 429,061280,173
Total Volume 147,596,96496,379,418

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): 0.551 (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

PYTH: Kraken
RENDER: Kraken
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