PYTH PYTH / DOT Crypto vs TOKEN TOKEN / 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 / DOTTOKEN / USD

📈 Performance Metrics

Start Price 0.100.05

End Price 0.030.01

Price Change % -64.71%-87.02%

Period High 0.100.05

Period Low 0.030.01

Price Range % 258.6%714.9%

🏆 All-Time Records

All-Time High 0.100.05

Days Since ATH 343 days273 days

Distance From ATH % -64.7%-87.1%

All-Time Low 0.030.01

Distance From ATL % +26.5%+4.7%

New ATHs Hit 0 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 2.88%5.58%

Biggest Jump (1 Day) % +0.03+0.01

Biggest Drop (1 Day) % -0.01-0.01

Days Above Avg % 37.8%32.7%

Extreme Moves days 5 (1.5%)11 (4.0%)

Stability Score % 0.0%0.0%

Trend Strength % 55.4%55.5%

Recent Momentum (10-day) % -2.97%-32.90%

📊 Statistical Measures

Average Price 0.040.02

Median Price 0.040.02

Price Std Deviation 0.010.01

🚀 Returns & Growth

CAGR % -66.99%-93.41%

Annualized Return % -66.99%-93.41%

Total Return % -64.71%-87.02%

⚠️ Risk & Volatility

Daily Volatility % 6.19%8.00%

Annualized Volatility % 118.31%152.93%

Max Drawdown % -72.11%-87.73%

Sharpe Ratio -0.025-0.054

Sortino Ratio -0.041-0.059

Calmar Ratio -0.929-1.065

Ulcer Index 59.1466.44

📅 Daily Performance

Win Rate % 44.6%44.1%

Positive Days 153120

Negative Days 190152

Best Day % +91.84%+64.09%

Worst Day % -22.16%-41.24%

Avg Gain (Up Days) % +2.96%+5.69%

Avg Loss (Down Days) % -2.66%-5.27%

Profit Factor 0.890.85

🔥 Streaks & Patterns

Longest Win Streak days 64

Longest Loss Streak days 86

💹 Trading Metrics

Omega Ratio 0.8940.853

Expectancy % -0.16%-0.43%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.44%+26.60%

Worst Week % -28.59%-27.13%

Weekly Win Rate % 38.5%36.6%

📆 Monthly Performance

Best Month % +56.66%+36.42%

Worst Month % -42.03%-38.12%

Monthly Win Rate % 46.2%18.2%

🔧 Technical Indicators

RSI (14-period) 34.6113.19

Price vs 50-Day MA % -14.95%-45.58%

Price vs 200-Day MA % +0.17%-57.16%

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 TOKEN (TOKEN):	0.526 (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
TOKEN: Kraken