PYTH PYTH / ALGO Crypto vs BBSOL BBSOL / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / ALGOBBSOL / USD
📈 Performance Metrics
Start Price 3.17193.15
End Price 0.59180.41
Price Change % -81.45%-6.60%
Period High 3.25275.87
Period Low 0.41113.12
Price Range % 702.3%143.9%
🏆 All-Time Records
All-Time High 3.25275.87
Days Since ATH 342 days271 days
Distance From ATH % -81.9%-34.6%
All-Time Low 0.41113.12
Distance From ATL % +44.9%+59.5%
New ATHs Hit 1 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.76%3.33%
Biggest Jump (1 Day) % +0.44+44.51
Biggest Drop (1 Day) % -0.43-45.86
Days Above Avg % 25.6%49.6%
Extreme Moves days 8 (2.3%)15 (4.4%)
Stability Score % 0.0%97.6%
Trend Strength % 53.6%49.1%
Recent Momentum (10-day) % -9.66%-14.51%
📊 Statistical Measures
Average Price 0.82195.76
Median Price 0.72194.75
Price Std Deviation 0.4539.15
🚀 Returns & Growth
CAGR % -83.35%-6.98%
Annualized Return % -83.35%-6.98%
Total Return % -81.45%-6.60%
⚠️ Risk & Volatility
Daily Volatility % 6.90%4.65%
Annualized Volatility % 131.90%88.92%
Max Drawdown % -87.54%-59.00%
Sharpe Ratio -0.0430.019
Sortino Ratio -0.0590.019
Calmar Ratio -0.952-0.118
Ulcer Index 76.0831.82
📅 Daily Performance
Win Rate % 46.4%50.9%
Positive Days 159175
Negative Days 184169
Best Day % +94.89%+24.39%
Worst Day % -26.08%-20.57%
Avg Gain (Up Days) % +3.20%+3.38%
Avg Loss (Down Days) % -3.32%-3.32%
Profit Factor 0.831.05
🔥 Streaks & Patterns
Longest Win Streak days 610
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 0.8331.054
Expectancy % -0.30%+0.09%
Kelly Criterion % 0.00%0.79%
📅 Weekly Performance
Best Week % +76.23%+38.43%
Worst Week % -39.02%-16.28%
Weekly Win Rate % 50.0%55.8%
📆 Monthly Performance
Best Month % +68.82%+28.04%
Worst Month % -64.60%-30.05%
Monthly Win Rate % 30.8%53.8%
🔧 Technical Indicators
RSI (14-period) 23.5020.88
Price vs 50-Day MA % -16.30%-23.74%
Price vs 200-Day MA % -5.48%-4.70%

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): 0.253 (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
BBSOL: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures