PYTH PYTH / GSWIFT Crypto vs MC MC / GSWIFT Crypto

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

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Asset PYTH / GSWIFTMC / GSWIFT
📈 Performance Metrics
Start Price 3.101.87
End Price 62.6325.38
Price Change % +1,918.10%+1,258.29%
Period High 62.6327.35
Period Low 3.101.87
Price Range % 1,918.1%1,363.5%
🏆 All-Time Records
All-Time High 62.6327.35
Days Since ATH 0 days4 days
Distance From ATH % +0.0%-7.2%
All-Time Low 3.101.87
Distance From ATL % +1,918.1%+1,258.3%
New ATHs Hit 40 times49 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%6.91%
Biggest Jump (1 Day) % +16.74+4.90
Biggest Drop (1 Day) % -3.33-4.11
Days Above Avg % 37.4%41.6%
Extreme Moves days 9 (2.9%)18 (5.8%)
Stability Score % 35.9%1.9%
Trend Strength % 57.0%56.0%
Recent Momentum (10-day) % +38.98%+1.94%
📊 Statistical Measures
Average Price 14.0810.11
Median Price 11.297.76
Price Std Deviation 9.146.59
🚀 Returns & Growth
CAGR % +3,378.87%+2,079.34%
Annualized Return % +3,378.87%+2,079.34%
Total Return % +1,918.10%+1,258.29%
⚠️ Risk & Volatility
Daily Volatility % 9.03%9.92%
Annualized Volatility % 172.54%189.48%
Max Drawdown % -32.87%-44.31%
Sharpe Ratio 0.1470.134
Sortino Ratio 0.2000.146
Calmar Ratio 102.79346.925
Ulcer Index 15.3915.74
📅 Daily Performance
Win Rate % 57.0%56.0%
Positive Days 176173
Negative Days 133136
Best Day % +96.03%+42.89%
Worst Day % -26.77%-30.53%
Avg Gain (Up Days) % +5.97%+7.95%
Avg Loss (Down Days) % -4.83%-7.08%
Profit Factor 1.641.43
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 1.6371.427
Expectancy % +1.32%+1.33%
Kelly Criterion % 4.59%2.37%
📅 Weekly Performance
Best Week % +65.04%+67.68%
Worst Week % -11.35%-19.84%
Weekly Win Rate % 74.5%66.0%
📆 Monthly Performance
Best Month % +94.65%+83.25%
Worst Month % -5.72%-5.97%
Monthly Win Rate % 83.3%83.3%
🔧 Technical Indicators
RSI (14-period) 84.4652.00
Price vs 50-Day MA % +97.41%+19.64%
Price vs 200-Day MA % +247.64%+88.18%

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 MC (MC): 0.920 (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
MC: Kraken
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