PYTH PYTH / DBR 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 / DBRTOKEN / USD

📈 Performance Metrics

Start Price 13.470.05

End Price 4.160.01

Price Change % -69.13%-86.12%

Period High 19.270.05

Period Low 3.040.01

Price Range % 534.8%714.9%

🏆 All-Time Records

All-Time High 19.270.05

Days Since ATH 319 days275 days

Distance From ATH % -78.4%-86.3%

All-Time Low 3.040.01

Distance From ATL % +36.9%+12.0%

New ATHs Hit 11 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.10%5.58%

Biggest Jump (1 Day) % +4.91+0.01

Biggest Drop (1 Day) % -3.92-0.01

Days Above Avg % 45.1%33.2%

Extreme Moves days 12 (3.5%)11 (4.0%)

Stability Score % 0.0%0.0%

Trend Strength % 50.7%55.4%

Recent Momentum (10-day) % -33.19%-41.61%

📊 Statistical Measures

Average Price 8.270.02

Median Price 7.680.02

Price Std Deviation 3.580.01

🚀 Returns & Growth

CAGR % -71.38%-92.66%

Annualized Return % -71.38%-92.66%

Total Return % -69.13%-86.12%

⚠️ Risk & Volatility

Daily Volatility % 9.06%8.01%

Annualized Volatility % 173.06%153.04%

Max Drawdown % -84.25%-87.73%

Sharpe Ratio 0.002-0.050

Sortino Ratio 0.002-0.055

Calmar Ratio -0.847-1.056

Ulcer Index 59.8966.59

📅 Daily Performance

Win Rate % 49.3%44.2%

Positive Days 169121

Negative Days 174153

Best Day % +99.43%+64.09%

Worst Day % -31.47%-41.24%

Avg Gain (Up Days) % +5.44%+5.74%

Avg Loss (Down Days) % -5.25%-5.26%

Profit Factor 1.010.86

🔥 Streaks & Patterns

Longest Win Streak days 74

Longest Loss Streak days 76

💹 Trading Metrics

Omega Ratio 1.0070.863

Expectancy % +0.02%-0.40%

Kelly Criterion % 0.06%0.00%

📅 Weekly Performance

Best Week % +81.88%+26.60%

Worst Week % -44.50%-27.13%

Weekly Win Rate % 50.0%36.6%

📆 Monthly Performance

Best Month % +78.81%+36.42%

Worst Month % -49.29%-38.12%

Monthly Win Rate % 46.2%18.2%

🔧 Technical Indicators

RSI (14-period) 38.5423.74

Price vs 50-Day MA % -31.27%-40.74%

Price vs 200-Day MA % -37.19%-53.95%

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):	0.638 (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