PYTH PYTH / G3 Crypto vs SQT SQT / 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 / G3SQT / USD
📈 Performance Metrics
Start Price 8.390.01
End Price 47.900.00
Price Change % +470.80%-91.60%
Period High 52.790.01
Period Low 5.340.00
Price Range % 887.8%1,666.3%
🏆 All-Time Records
All-Time High 52.790.01
Days Since ATH 50 days328 days
Distance From ATH % -9.3%-92.0%
All-Time Low 5.340.00
Distance From ATL % +796.4%+41.2%
New ATHs Hit 37 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.92%5.28%
Biggest Jump (1 Day) % +22.39+0.00
Biggest Drop (1 Day) % -12.540.00
Days Above Avg % 49.7%29.0%
Extreme Moves days 10 (2.9%)10 (3.0%)
Stability Score % 63.0%0.0%
Trend Strength % 55.1%62.2%
Recent Momentum (10-day) % +27.17%-28.26%
📊 Statistical Measures
Average Price 24.760.00
Median Price 24.710.00
Price Std Deviation 12.390.00
🚀 Returns & Growth
CAGR % +538.27%-93.38%
Annualized Return % +538.27%-93.38%
Total Return % +470.80%-91.60%
⚠️ Risk & Volatility
Daily Volatility % 9.17%8.88%
Annualized Volatility % 175.26%169.67%
Max Drawdown % -57.12%-94.34%
Sharpe Ratio 0.096-0.046
Sortino Ratio 0.117-0.071
Calmar Ratio 9.424-0.990
Ulcer Index 30.6676.78
📅 Daily Performance
Win Rate % 55.3%37.3%
Positive Days 189123
Negative Days 153207
Best Day % +96.38%+73.41%
Worst Day % -28.33%-17.36%
Avg Gain (Up Days) % +6.03%+5.95%
Avg Loss (Down Days) % -5.48%-4.19%
Profit Factor 1.360.84
🔥 Streaks & Patterns
Longest Win Streak days 105
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 1.3600.844
Expectancy % +0.88%-0.41%
Kelly Criterion % 2.67%0.00%
📅 Weekly Performance
Best Week % +86.93%+28.30%
Worst Week % -34.12%-36.57%
Weekly Win Rate % 51.9%26.0%
📆 Monthly Performance
Best Month % +106.83%+33.51%
Worst Month % -32.88%-44.45%
Monthly Win Rate % 69.2%15.4%
🔧 Technical Indicators
RSI (14-period) 82.3738.24
Price vs 50-Day MA % +22.81%-11.74%
Price vs 200-Day MA % +45.22%-38.53%

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 SQT (SQT): -0.780 (Strong negative)

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
SQT: Bybit