PYTH PYTH / SPK Crypto vs BBSOL BBSOL / SPK 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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🤖 AI Analysis

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Asset PYTH / SPKBBSOL / SPK
📈 Performance Metrics
Start Price 2.303,772.39
End Price 2.836,191.37
Price Change % +22.79%+64.12%
Period High 3.896,342.31
Period Low 0.741,178.45
Price Range % 426.3%438.2%
🏆 All-Time Records
All-Time High 3.896,342.31
Days Since ATH 126 days3 days
Distance From ATH % -27.4%-2.4%
All-Time Low 0.741,178.45
Distance From ATL % +282.1%+425.4%
New ATHs Hit 16 times15 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.66%4.91%
Biggest Jump (1 Day) % +1.92+714.21
Biggest Drop (1 Day) % -1.37-1,729.31
Days Above Avg % 63.2%56.6%
Extreme Moves days 5 (3.3%)8 (5.3%)
Stability Score % 0.0%99.8%
Trend Strength % 59.6%66.2%
Recent Momentum (10-day) % +8.93%+17.37%
📊 Statistical Measures
Average Price 2.484,124.27
Median Price 2.644,483.16
Price Std Deviation 0.741,272.82
🚀 Returns & Growth
CAGR % +64.26%+231.22%
Annualized Return % +64.26%+231.22%
Total Return % +22.79%+64.12%
⚠️ Risk & Volatility
Daily Volatility % 12.99%9.69%
Annualized Volatility % 248.21%185.06%
Max Drawdown % -81.00%-79.62%
Sharpe Ratio 0.0700.087
Sortino Ratio 0.0770.071
Calmar Ratio 0.7932.904
Ulcer Index 39.0635.19
📅 Daily Performance
Win Rate % 60.0%66.2%
Positive Days 90100
Negative Days 6051
Best Day % +103.53%+56.40%
Worst Day % -55.27%-53.32%
Avg Gain (Up Days) % +6.08%+4.91%
Avg Loss (Down Days) % -6.84%-7.13%
Profit Factor 1.331.35
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3341.351
Expectancy % +0.91%+0.84%
Kelly Criterion % 2.20%2.41%
📅 Weekly Performance
Best Week % +116.56%+40.22%
Worst Week % -39.18%-37.04%
Weekly Win Rate % 66.7%70.8%
📆 Monthly Performance
Best Month % +160.85%+95.41%
Worst Month % -55.73%-55.08%
Monthly Win Rate % 71.4%71.4%
🔧 Technical Indicators
RSI (14-period) 72.2882.76
Price vs 50-Day MA % +1.84%+20.11%

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 BBSOL (BBSOL): 0.877 (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
BBSOL: Bybit