PYTH PYTH / USD Crypto vs CQT CQT / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / USDCQT / USD
📈 Performance Metrics
Start Price 0.380.01
End Price 0.060.00
Price Change % -84.71%-81.58%
Period High 0.400.01
Period Low 0.050.00
Price Range % 633.0%677.8%
🏆 All-Time Records
All-Time High 0.400.01
Days Since ATH 329 days305 days
Distance From ATH % -85.3%-86.4%
All-Time Low 0.050.00
Distance From ATL % +8.1%+6.1%
New ATHs Hit 2 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.51%3.96%
Biggest Jump (1 Day) % +0.11+0.00
Biggest Drop (1 Day) % -0.050.00
Days Above Avg % 35.8%54.9%
Extreme Moves days 6 (1.7%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%50.4%
Recent Momentum (10-day) % -13.55%-2.88%
📊 Statistical Measures
Average Price 0.160.00
Median Price 0.140.00
Price Std Deviation 0.080.00
🚀 Returns & Growth
CAGR % -86.44%-83.47%
Annualized Return % -86.44%-83.47%
Total Return % -84.71%-81.58%
⚠️ Risk & Volatility
Daily Volatility % 7.90%6.79%
Annualized Volatility % 150.92%129.79%
Max Drawdown % -86.36%-87.14%
Sharpe Ratio -0.036-0.043
Sortino Ratio -0.047-0.055
Calmar Ratio -1.001-0.958
Ulcer Index 63.1264.92
📅 Daily Performance
Win Rate % 46.8%43.3%
Positive Days 160132
Negative Days 182173
Best Day % +99.34%+81.08%
Worst Day % -32.57%-22.08%
Avg Gain (Up Days) % +4.61%+4.50%
Avg Loss (Down Days) % -4.59%-4.02%
Profit Factor 0.880.86
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 69
💹 Trading Metrics
Omega Ratio 0.8830.855
Expectancy % -0.29%-0.33%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+41.03%
Worst Week % -23.21%-24.32%
Weekly Win Rate % 48.1%36.5%
📆 Monthly Performance
Best Month % +65.32%+20.00%
Worst Month % -32.91%-44.78%
Monthly Win Rate % 30.8%7.7%
🔧 Technical Indicators
RSI (14-period) 32.4939.80
Price vs 50-Day MA % -23.56%-4.93%
Price vs 200-Day MA % -50.15%-46.73%

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 CQT (CQT): 0.772 (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
CQT: Kraken