PYTH PYTH / GSWIFT Crypto vs INJ INJ / GSWIFT 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 / GSWIFTINJ / GSWIFT
📈 Performance Metrics
Start Price 3.16208.78
End Price 62.634,373.36
Price Change % +1,882.48%+1,994.68%
Period High 62.634,373.36
Period Low 3.10203.54
Price Range % 1,918.1%2,048.6%
🏆 All-Time Records
All-Time High 62.634,373.36
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 3.10203.54
Distance From ATL % +1,918.1%+2,048.6%
New ATHs Hit 40 times68 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%4.65%
Biggest Jump (1 Day) % +16.74+903.81
Biggest Drop (1 Day) % -3.33-223.69
Days Above Avg % 37.3%43.1%
Extreme Moves days 9 (2.9%)15 (4.8%)
Stability Score % 35.8%99.4%
Trend Strength % 56.8%56.1%
Recent Momentum (10-day) % +38.98%+24.72%
📊 Statistical Measures
Average Price 14.041,194.66
Median Price 11.29955.84
Price Std Deviation 9.14797.34
🚀 Returns & Growth
CAGR % +3,267.91%+3,493.44%
Annualized Return % +3,267.91%+3,493.44%
Total Return % +1,882.48%+1,994.68%
⚠️ Risk & Volatility
Daily Volatility % 9.02%6.72%
Annualized Volatility % 172.29%128.47%
Max Drawdown % -32.87%-39.09%
Sharpe Ratio 0.1460.180
Sortino Ratio 0.2000.198
Calmar Ratio 99.41889.367
Ulcer Index 15.3613.02
📅 Daily Performance
Win Rate % 56.8%56.1%
Positive Days 176174
Negative Days 134136
Best Day % +96.03%+29.22%
Worst Day % -26.77%-27.73%
Avg Gain (Up Days) % +5.97%+5.56%
Avg Loss (Down Days) % -4.81%-4.35%
Profit Factor 1.631.63
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 1.6331.634
Expectancy % +1.31%+1.21%
Kelly Criterion % 4.58%5.00%
📅 Weekly Performance
Best Week % +65.04%+40.26%
Worst Week % -11.35%-13.24%
Weekly Win Rate % 74.5%74.5%
📆 Monthly Performance
Best Month % +94.65%+71.94%
Worst Month % -5.72%-7.64%
Monthly Win Rate % 83.3%83.3%
🔧 Technical Indicators
RSI (14-period) 84.4679.72
Price vs 50-Day MA % +97.41%+77.24%
Price vs 200-Day MA % +247.64%+171.70%

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 INJ (INJ): 0.932 (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
INJ: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures