C98 C98 / PYTH Crypto vs Q Q / PYTH 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 C98 / PYTHQ / PYTH

📈 Performance Metrics

Start Price 0.440.06

End Price 0.370.14

Price Change % -16.83%+146.72%

Period High 0.540.29

Period Low 0.220.05

Price Range % 139.6%426.0%

🏆 All-Time Records

All-Time High 0.540.29

Days Since ATH 335 days32 days

Distance From ATH % -31.9%-51.2%

All-Time Low 0.220.05

Distance From ATL % +63.2%+156.5%

New ATHs Hit 5 times12 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.37%10.43%

Biggest Jump (1 Day) % +0.10+0.07

Biggest Drop (1 Day) % -0.21-0.14

Days Above Avg % 62.5%58.8%

Extreme Moves days 12 (3.5%)3 (4.5%)

Stability Score % 0.0%0.0%

Trend Strength % 48.1%58.2%

Recent Momentum (10-day) % +8.91%-2.36%

📊 Statistical Measures

Average Price 0.420.16

Median Price 0.430.17

Price Std Deviation 0.060.05

🚀 Returns & Growth

CAGR % -17.80%+13,597.44%

Annualized Return % -17.80%+13,597.44%

Total Return % -16.83%+146.72%

⚠️ Risk & Volatility

Daily Volatility % 5.31%18.02%

Annualized Volatility % 101.51%344.18%

Max Drawdown % -58.27%-51.55%

Sharpe Ratio 0.0190.155

Sortino Ratio 0.0180.201

Calmar Ratio -0.306263.773

Ulcer Index 24.7129.16

📅 Daily Performance

Win Rate % 51.8%58.2%

Positive Days 17739

Negative Days 16528

Best Day % +32.78%+93.65%

Worst Day % -47.94%-48.72%

Avg Gain (Up Days) % +3.42%+11.94%

Avg Loss (Down Days) % -3.46%-9.96%

Profit Factor 1.061.67

🔥 Streaks & Patterns

Longest Win Streak days 76

Longest Loss Streak days 65

💹 Trading Metrics

Omega Ratio 1.0611.670

Expectancy % +0.10%+2.79%

Kelly Criterion % 0.86%2.34%

📅 Weekly Performance

Best Week % +26.28%+18.04%

Worst Week % -36.36%-43.69%

Weekly Win Rate % 57.7%45.5%

📆 Monthly Performance

Best Month % +22.46%+283.03%

Worst Month % -36.83%-31.12%

Monthly Win Rate % 53.8%33.3%

🔧 Technical Indicators

RSI (14-period) 60.8130.87

Price vs 50-Day MA % +5.04%-22.89%

Price vs 200-Day MA % -6.66%N/A

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).

C98 (C98) vs Q (Q):	0.427 (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

C98: Kraken
Q: Kraken