PYTH PYTH / PBUX Crypto vs TWT TWT / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / PBUXTWT / USD

📈 Performance Metrics

Start Price 17.341.13

End Price 220.001.07

Price Change % +1,168.89%-5.81%

Period High 278.341.63

Period Low 10.460.67

Price Range % 2,561.3%144.1%

🏆 All-Time Records

All-Time High 278.341.63

Days Since ATH 1 days31 days

Distance From ATH % -21.0%-34.8%

All-Time Low 10.460.67

Distance From ATL % +2,003.5%+59.3%

New ATHs Hit 28 times9 times

📌 Easy-to-Understand Stats

Avg Daily Change % 9.78%2.95%

Biggest Jump (1 Day) % +87.91+0.26

Biggest Drop (1 Day) % -58.34-0.27

Days Above Avg % 16.9%40.9%

Extreme Moves days 10 (3.2%)12 (3.5%)

Stability Score % 65.4%0.0%

Trend Strength % 55.3%49.7%

Recent Momentum (10-day) % +51.73%-9.14%

📊 Statistical Measures

Average Price 40.200.96

Median Price 27.640.86

Price Std Deviation 41.330.22

🚀 Returns & Growth

CAGR % +1,835.26%-6.15%

Annualized Return % +1,835.26%-6.15%

Total Return % +1,168.89%-5.81%

⚠️ Risk & Volatility

Daily Volatility % 13.93%4.15%

Annualized Volatility % 266.10%79.33%

Max Drawdown % -59.15%-57.23%

Sharpe Ratio 0.1130.016

Sortino Ratio 0.1560.017

Calmar Ratio 31.025-0.107

Ulcer Index 26.9741.34

📅 Daily Performance

Win Rate % 55.3%50.3%

Positive Days 173173

Negative Days 140171

Best Day % +167.57%+25.27%

Worst Day % -41.16%-17.67%

Avg Gain (Up Days) % +8.56%+2.84%

Avg Loss (Down Days) % -7.06%-2.73%

Profit Factor 1.501.05

🔥 Streaks & Patterns

Longest Win Streak days 55

Longest Loss Streak days 67

💹 Trading Metrics

Omega Ratio 1.4981.050

Expectancy % +1.57%+0.07%

Kelly Criterion % 2.60%0.87%

📅 Weekly Performance

Best Week % +162.66%+56.22%

Worst Week % -32.24%-16.53%

Weekly Win Rate % 57.4%53.8%

📆 Monthly Performance

Best Month % +237.71%+70.40%

Worst Month % -18.81%-17.95%

Monthly Win Rate % 66.7%46.2%

🔧 Technical Indicators

RSI (14-period) 68.9638.69

Price vs 50-Day MA % +85.86%-13.86%

Price vs 200-Day MA % +312.51%+18.99%

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 TWT (TWT):	0.155 (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
TWT: Bybit