PROMPT PROMPT / GSWIFT Crypto vs PYTH PYTH / GSWIFT Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PROMPT / GSWIFTPYTH / GSWIFT
📈 Performance Metrics
Start Price 17.553.78
End Price 52.5262.63
Price Change % +199.26%+1,556.45%
Period High 52.5262.63
Period Low 14.663.10
Price Range % 258.2%1,918.1%
🏆 All-Time Records
All-Time High 52.5262.63
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 14.663.10
Distance From ATL % +258.2%+1,918.1%
New ATHs Hit 6 times36 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.41%5.49%
Biggest Jump (1 Day) % +20.33+16.74
Biggest Drop (1 Day) % -6.38-3.33
Days Above Avg % 40.0%36.8%
Extreme Moves days 5 (2.6%)10 (3.2%)
Stability Score % 48.4%35.4%
Trend Strength % 50.3%56.1%
Recent Momentum (10-day) % +17.67%+38.98%
📊 Statistical Measures
Average Price 23.1613.91
Median Price 21.2311.15
Price Std Deviation 6.469.16
🚀 Returns & Growth
CAGR % +730.51%+2,513.35%
Annualized Return % +730.51%+2,513.35%
Total Return % +199.26%+1,556.45%
⚠️ Risk & Volatility
Daily Volatility % 11.95%8.99%
Annualized Volatility % 228.38%171.81%
Max Drawdown % -56.77%-32.87%
Sharpe Ratio 0.0980.138
Sortino Ratio 0.1570.189
Calmar Ratio 12.86776.462
Ulcer Index 41.3615.39
📅 Daily Performance
Win Rate % 50.3%56.1%
Positive Days 95176
Negative Days 94138
Best Day % +78.12%+96.03%
Worst Day % -19.45%-26.77%
Avg Gain (Up Days) % +8.28%+5.97%
Avg Loss (Down Days) % -6.01%-4.79%
Profit Factor 1.391.59
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 75
💹 Trading Metrics
Omega Ratio 1.3931.590
Expectancy % +1.17%+1.24%
Kelly Criterion % 2.36%4.34%
📅 Weekly Performance
Best Week % +168.47%+65.04%
Worst Week % -41.50%-11.35%
Weekly Win Rate % 58.6%72.9%
📆 Monthly Performance
Best Month % +80.37%+94.65%
Worst Month % -35.46%-5.72%
Monthly Win Rate % 75.0%83.3%
🔧 Technical Indicators
RSI (14-period) 74.9884.46
Price vs 50-Day MA % +76.51%+97.41%
Price vs 200-Day MA % N/A+247.64%
💰 Volume Analysis
Avg Volume 149,246,277235,890,891
Total Volume 28,356,792,56974,305,630,817

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).

PROMPT (PROMPT) vs PYTH (PYTH): 0.656 (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

PROMPT: Kraken
PYTH: Kraken