PYTH PYTH / USD Crypto vs SQD SQD / 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 / USDSQD / USD

📈 Performance Metrics

Start Price 0.420.26

End Price 0.080.05

Price Change % -80.65%-79.76%

Period High 0.530.26

Period Low 0.080.05

Price Range % 553.3%394.2%

🏆 All-Time Records

All-Time High 0.530.26

Days Since ATH 331 days139 days

Distance From ATH % -84.7%-79.8%

All-Time Low 0.080.05

Distance From ATL % +0.0%+0.0%

New ATHs Hit 9 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.50%7.44%

Biggest Jump (1 Day) % +0.11+0.09

Biggest Drop (1 Day) % -0.09-0.09

Days Above Avg % 29.7%56.4%

Extreme Moves days 7 (2.0%)5 (3.6%)

Stability Score % 0.0%0.0%

Trend Strength % 51.0%58.3%

Recent Momentum (10-day) % -12.36%-22.17%

📊 Statistical Measures

Average Price 0.200.13

Median Price 0.150.14

Price Std Deviation 0.110.05

🚀 Returns & Growth

CAGR % -82.59%-98.49%

Annualized Return % -82.59%-98.49%

Total Return % -80.65%-79.76%

⚠️ Risk & Volatility

Daily Volatility % 8.00%13.01%

Annualized Volatility % 152.88%248.58%

Max Drawdown % -84.69%-79.76%

Sharpe Ratio -0.026-0.030

Sortino Ratio -0.033-0.042

Calmar Ratio -0.975-1.235

Ulcer Index 66.3752.29

📅 Daily Performance

Win Rate % 48.8%40.9%

Positive Days 16756

Negative Days 17581

Best Day % +99.34%+89.48%

Worst Day % -32.57%-52.62%

Avg Gain (Up Days) % +4.57%+8.54%

Avg Loss (Down Days) % -4.77%-6.58%

Profit Factor 0.910.90

🔥 Streaks & Patterns

Longest Win Streak days 73

Longest Loss Streak days 67

💹 Trading Metrics

Omega Ratio 0.9140.897

Expectancy % -0.21%-0.40%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+72.68%

Worst Week % -27.08%-29.75%

Weekly Win Rate % 51.9%40.9%

📆 Monthly Performance

Best Month % +65.32%+168.65%

Worst Month % -31.62%-45.58%

Monthly Win Rate % 38.5%33.3%

🔧 Technical Indicators

RSI (14-period) 21.0027.65

Price vs 50-Day MA % -39.19%-48.77%

Price vs 200-Day MA % -38.66%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).

PYTH (PYTH) vs SQD (SQD):	-0.195 (Weak)

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
SQD: Coinbase