PYTH PYTH / USD Crypto vs TUT TUT / 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 / USDTUT / USD
📈 Performance Metrics
Start Price 0.490.05
End Price 0.060.01
Price Change % -88.02%-73.48%
Period High 0.490.12
Period Low 0.060.01
Price Range % 734.7%846.0%
🏆 All-Time Records
All-Time High 0.490.12
Days Since ATH 343 days66 days
Distance From ATH % -88.0%-89.4%
All-Time Low 0.060.01
Distance From ATL % +0.0%+0.2%
New ATHs Hit 0 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.61%5.71%
Biggest Jump (1 Day) % +0.11+0.05
Biggest Drop (1 Day) % -0.06-0.07
Days Above Avg % 30.5%45.3%
Extreme Moves days 6 (1.7%)9 (3.7%)
Stability Score % 0.0%0.0%
Trend Strength % 53.4%48.8%
Recent Momentum (10-day) % -10.63%-10.63%
📊 Statistical Measures
Average Price 0.170.04
Median Price 0.140.03
Price Std Deviation 0.080.02
🚀 Returns & Growth
CAGR % -89.54%-86.49%
Annualized Return % -89.54%-86.49%
Total Return % -88.02%-73.48%
⚠️ Risk & Volatility
Daily Volatility % 7.94%10.01%
Annualized Volatility % 151.65%191.18%
Max Drawdown % -88.02%-89.43%
Sharpe Ratio -0.0450.010
Sortino Ratio -0.0570.009
Calmar Ratio -1.017-0.967
Ulcer Index 68.4446.38
📅 Daily Performance
Win Rate % 46.5%51.2%
Positive Days 159124
Negative Days 183118
Best Day % +99.34%+76.53%
Worst Day % -32.57%-77.79%
Avg Gain (Up Days) % +4.62%+5.24%
Avg Loss (Down Days) % -4.67%-5.30%
Profit Factor 0.861.04
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.8581.037
Expectancy % -0.35%+0.10%
Kelly Criterion % 0.00%0.35%
📅 Weekly Performance
Best Week % +65.86%+25.56%
Worst Week % -27.08%-38.52%
Weekly Win Rate % 46.2%54.1%
📆 Monthly Performance
Best Month % +65.32%+109.71%
Worst Month % -32.91%-21.14%
Monthly Win Rate % 30.8%30.0%
🔧 Technical Indicators
RSI (14-period) 28.2326.26
Price vs 50-Day MA % -32.75%-41.90%
Price vs 200-Day MA % -51.70%-73.13%

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 TUT (TUT): 0.484 (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
TUT: Binance