BBSOL BBSOL / USD Crypto vs PYTH PYTH / USD Crypto

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

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Asset BBSOL / USDPYTH / USD
📈 Performance Metrics
Start Price 266.260.42
End Price 149.960.08
Price Change % -43.68%-80.65%
Period High 275.870.53
Period Low 113.120.08
Price Range % 143.9%553.3%
🏆 All-Time Records
All-Time High 275.870.53
Days Since ATH 286 days331 days
Distance From ATH % -45.6%-84.7%
All-Time Low 113.120.08
Distance From ATL % +32.6%+0.0%
New ATHs Hit 2 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.32%4.50%
Biggest Jump (1 Day) % +44.51+0.11
Biggest Drop (1 Day) % -45.86-0.09
Days Above Avg % 47.5%29.7%
Extreme Moves days 14 (4.1%)7 (2.0%)
Stability Score % 97.6%0.0%
Trend Strength % 50.3%51.0%
Recent Momentum (10-day) % -14.70%-12.36%
📊 Statistical Measures
Average Price 193.130.20
Median Price 190.750.15
Price Std Deviation 39.160.11
🚀 Returns & Growth
CAGR % -45.62%-82.59%
Annualized Return % -45.62%-82.59%
Total Return % -43.68%-80.65%
⚠️ Risk & Volatility
Daily Volatility % 4.63%8.00%
Annualized Volatility % 88.50%152.88%
Max Drawdown % -59.00%-84.69%
Sharpe Ratio -0.013-0.026
Sortino Ratio -0.013-0.033
Calmar Ratio -0.773-0.975
Ulcer Index 32.9566.37
📅 Daily Performance
Win Rate % 49.7%48.8%
Positive Days 171167
Negative Days 173175
Best Day % +24.39%+99.34%
Worst Day % -20.57%-32.57%
Avg Gain (Up Days) % +3.31%+4.57%
Avg Loss (Down Days) % -3.39%-4.77%
Profit Factor 0.970.91
🔥 Streaks & Patterns
Longest Win Streak days 107
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.9650.914
Expectancy % -0.06%-0.21%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +38.43%+65.86%
Worst Week % -18.02%-27.08%
Weekly Win Rate % 51.9%51.9%
📆 Monthly Performance
Best Month % +23.85%+65.32%
Worst Month % -30.05%-31.62%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 31.2521.00
Price vs 50-Day MA % -30.66%-39.19%
Price vs 200-Day MA % -21.87%-38.66%

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).

BBSOL (BBSOL) vs PYTH (PYTH): 0.538 (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

BBSOL: Bybit
PYTH: Kraken
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