PYTH PYTH / TUT 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

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / TUTRENDER / USD
📈 Performance Metrics
Start Price 3.557.05
End Price 5.222.13
Price Change % +47.34%-69.75%
Period High 6.5710.49
Period Low 1.391.86
Price Range % 374.1%464.0%
🏆 All-Time Records
All-Time High 6.5710.49
Days Since ATH 168 days323 days
Distance From ATH % -20.5%-79.7%
All-Time Low 1.391.86
Distance From ATL % +276.8%+14.6%
New ATHs Hit 7 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.19%4.18%
Biggest Jump (1 Day) % +3.71+1.42
Biggest Drop (1 Day) % -1.18-1.35
Days Above Avg % 46.0%28.2%
Extreme Moves days 4 (1.9%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 43.9%51.6%
Recent Momentum (10-day) % +36.60%-11.88%
📊 Statistical Measures
Average Price 3.414.65
Median Price 2.643.94
Price Std Deviation 1.571.84
🚀 Returns & Growth
CAGR % +94.89%-71.98%
Annualized Return % +94.89%-71.98%
Total Return % +47.34%-69.75%
⚠️ Risk & Volatility
Daily Volatility % 18.60%5.63%
Annualized Volatility % 355.42%107.52%
Max Drawdown % -78.91%-82.27%
Sharpe Ratio 0.065-0.033
Sortino Ratio 0.155-0.033
Calmar Ratio 1.203-0.875
Ulcer Index 52.8058.06
📅 Daily Performance
Win Rate % 43.9%48.4%
Positive Days 93166
Negative Days 119177
Best Day % +203.65%+25.51%
Worst Day % -45.94%-30.41%
Avg Gain (Up Days) % +9.75%+4.16%
Avg Loss (Down Days) % -5.46%-4.27%
Profit Factor 1.400.91
🔥 Streaks & Patterns
Longest Win Streak days 47
Longest Loss Streak days 127
💹 Trading Metrics
Omega Ratio 1.3970.915
Expectancy % +1.22%-0.19%
Kelly Criterion % 2.28%0.00%
📅 Weekly Performance
Best Week % +63.89%+27.55%
Worst Week % -30.67%-24.59%
Weekly Win Rate % 50.0%53.8%
📆 Monthly Performance
Best Month % +66.04%+26.22%
Worst Month % -58.63%-29.02%
Monthly Win Rate % 33.3%30.8%
🔧 Technical Indicators
RSI (14-period) 41.9149.07
Price vs 50-Day MA % +67.39%-33.44%
Price vs 200-Day MA % +56.30%-43.10%

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): 0.178 (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