PYTH PYTH / USD Crypto vs HOPR HOPR / 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 / USDHOPR / USD

📈 Performance Metrics

Start Price 0.490.13

End Price 0.060.03

Price Change % -88.02%-79.20%

Period High 0.490.13

Period Low 0.060.03

Price Range % 734.7%380.7%

🏆 All-Time Records

All-Time High 0.490.13

Days Since ATH 343 days342 days

Distance From ATH % -88.0%-79.2%

All-Time Low 0.060.03

Distance From ATL % +0.0%+0.0%

New ATHs Hit 0 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.61%4.09%

Biggest Jump (1 Day) % +0.11+0.05

Biggest Drop (1 Day) % -0.06-0.02

Days Above Avg % 30.5%43.4%

Extreme Moves days 6 (1.7%)10 (2.9%)

Stability Score % 0.0%0.0%

Trend Strength % 53.4%56.7%

Recent Momentum (10-day) % -10.63%-3.56%

📊 Statistical Measures

Average Price 0.170.05

Median Price 0.140.05

Price Std Deviation 0.080.02

🚀 Returns & Growth

CAGR % -89.54%-81.28%

Annualized Return % -89.54%-81.28%

Total Return % -88.02%-79.20%

⚠️ Risk & Volatility

Daily Volatility % 7.94%7.55%

Annualized Volatility % 151.65%144.30%

Max Drawdown % -88.02%-79.20%

Sharpe Ratio -0.045-0.029

Sortino Ratio -0.057-0.044

Calmar Ratio -1.017-1.026

Ulcer Index 68.4460.52

📅 Daily Performance

Win Rate % 46.5%42.1%

Positive Days 159141

Negative Days 183194

Best Day % +99.34%+75.28%

Worst Day % -32.57%-19.05%

Avg Gain (Up Days) % +4.62%+4.54%

Avg Loss (Down Days) % -4.67%-3.68%

Profit Factor 0.860.90

🔥 Streaks & Patterns

Longest Win Streak days 75

Longest Loss Streak days 68

💹 Trading Metrics

Omega Ratio 0.8580.895

Expectancy % -0.35%-0.22%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+86.55%

Worst Week % -27.08%-32.42%

Weekly Win Rate % 46.2%30.8%

📆 Monthly Performance

Best Month % +65.32%+113.62%

Worst Month % -32.91%-34.50%

Monthly Win Rate % 30.8%15.4%

🔧 Technical Indicators

RSI (14-period) 28.2338.41

Price vs 50-Day MA % -32.75%-20.77%

Price vs 200-Day MA % -51.70%-42.34%

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 HOPR (HOPR):	0.854 (Strong 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
HOPR: Coinbase