ALGO ALGO / PYTH Crypto vs K K / PYTH Crypto vs BBSOL BBSOL / PYTH 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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Asset ALGO / PYTHK / PYTHBBSOL / PYTH
📈 Performance Metrics
Start Price 0.982.01532.75
End Price 1.860.092,286.48
Price Change % +90.76%-95.34%+329.19%
Period High 2.472.332,351.91
Period Low 0.840.09457.57
Price Range % 194.6%2,585.5%414.0%
🏆 All-Time Records
All-Time High 2.472.332,351.91
Days Since ATH 128 days90 days3 days
Distance From ATH % -24.4%-96.0%-2.8%
All-Time Low 0.840.09457.57
Distance From ATL % +122.7%+8.0%+399.7%
New ATHs Hit 27 times2 times51 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.62%8.32%2.79%
Biggest Jump (1 Day) % +0.30+0.67+333.19
Biggest Drop (1 Day) % -1.04-0.87-910.41
Days Above Avg % 42.2%51.4%53.5%
Extreme Moves days 15 (4.4%)4 (3.8%)12 (3.5%)
Stability Score % 0.0%0.0%99.6%
Trend Strength % 54.8%64.2%58.3%
Recent Momentum (10-day) % +2.37%-12.48%+7.83%
📊 Statistical Measures
Average Price 1.540.761,291.53
Median Price 1.440.831,405.88
Price Std Deviation 0.340.64444.25
🚀 Returns & Growth
CAGR % +98.82%-100.00%+371.22%
Annualized Return % +98.82%-100.00%+371.22%
Total Return % +90.76%-95.34%+329.19%
⚠️ Risk & Volatility
Daily Volatility % 4.59%10.37%4.71%
Annualized Volatility % 87.67%198.10%89.95%
Max Drawdown % -55.68%-96.28%-46.99%
Sharpe Ratio 0.068-0.2150.117
Sortino Ratio 0.059-0.2020.102
Calmar Ratio 1.775-1.0397.900
Ulcer Index 20.4972.6414.12
📅 Daily Performance
Win Rate % 54.8%35.8%58.3%
Positive Days 18838200
Negative Days 15568143
Best Day % +18.91%+40.47%+21.19%
Worst Day % -48.69%-50.62%-46.99%
Avg Gain (Up Days) % +2.71%+6.47%+2.93%
Avg Loss (Down Days) % -2.60%-7.09%-2.77%
Profit Factor 1.270.511.48
🔥 Streaks & Patterns
Longest Win Streak days 1039
Longest Loss Streak days 656
💹 Trading Metrics
Omega Ratio 1.2650.5101.478
Expectancy % +0.31%-2.23%+0.55%
Kelly Criterion % 4.42%0.00%6.81%
📅 Weekly Performance
Best Week % +20.54%+31.69%+35.65%
Worst Week % -43.26%-50.96%-35.25%
Weekly Win Rate % 50.0%23.5%69.2%
📆 Monthly Performance
Best Month % +28.01%+-5.79%+53.23%
Worst Month % -40.76%-59.54%-25.09%
Monthly Win Rate % 61.5%0.0%84.6%
🔧 Technical Indicators
RSI (14-period) 50.3432.2872.56
Price vs 50-Day MA % +4.88%-49.02%+18.69%
Price vs 200-Day MA % +6.66%N/A+42.01%
💰 Volume Analysis
Avg Volume 42,235,981220,363,14440,468
Total Volume 14,529,177,54023,578,856,45513,920,864

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).

ALGO (ALGO) vs K (K): 0.222 (Weak)
ALGO (ALGO) vs BBSOL (BBSOL): 0.821 (Strong positive)
K (K) vs BBSOL (BBSOL): -0.463 (Moderate negative)

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

ALGO: Kraken
K: Bybit
BBSOL: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures