PYTH PYTH / SPK Crypto vs SWFTC SWFTC / USD Crypto

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

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Asset PYTH / SPKSWFTC / USD
📈 Performance Metrics
Start Price 2.300.00
End Price 2.660.00
Price Change % +15.48%+41.98%
Period High 3.890.04
Period Low 0.740.00
Price Range % 426.3%1,296.4%
🏆 All-Time Records
All-Time High 3.890.04
Days Since ATH 102 days265 days
Distance From ATH % -31.7%-89.2%
All-Time Low 0.740.00
Distance From ATL % +259.4%+50.7%
New ATHs Hit 16 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.39%6.46%
Biggest Jump (1 Day) % +1.92+0.02
Biggest Drop (1 Day) % -1.37-0.01
Days Above Avg % 63.3%39.4%
Extreme Moves days 5 (3.9%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 62.2%44.7%
Recent Momentum (10-day) % -14.52%-23.44%
📊 Statistical Measures
Average Price 2.460.01
Median Price 2.660.01
Price Std Deviation 0.800.01
🚀 Returns & Growth
CAGR % +51.25%+45.37%
Annualized Return % +51.25%+45.37%
Total Return % +15.48%+41.98%
⚠️ Risk & Volatility
Daily Volatility % 14.12%11.41%
Annualized Volatility % 269.80%218.03%
Max Drawdown % -81.00%-89.46%
Sharpe Ratio 0.0730.054
Sortino Ratio 0.0770.095
Calmar Ratio 0.6330.507
Ulcer Index 40.0665.98
📅 Daily Performance
Win Rate % 62.7%44.9%
Positive Days 79153
Negative Days 47188
Best Day % +103.53%+103.77%
Worst Day % -55.27%-31.13%
Avg Gain (Up Days) % +6.58%+7.18%
Avg Loss (Down Days) % -8.29%-4.73%
Profit Factor 1.331.24
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 1.3351.237
Expectancy % +1.03%+0.62%
Kelly Criterion % 1.90%1.82%
📅 Weekly Performance
Best Week % +116.56%+241.33%
Worst Week % -39.18%-35.56%
Weekly Win Rate % 70.0%40.4%
📆 Monthly Performance
Best Month % +160.85%+492.18%
Worst Month % -55.73%-69.70%
Monthly Win Rate % 66.7%46.2%
🔧 Technical Indicators
RSI (14-period) 37.4732.47
Price vs 50-Day MA % -6.84%-37.17%
Price vs 200-Day MA % N/A-56.33%

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 SWFTC (SWFTC): -0.258 (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
SWFTC: Coinbase
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