PYTH PYTH / SPK Crypto vs COOK COOK / 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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Asset PYTH / SPKCOOK / SPK
📈 Performance Metrics
Start Price 2.300.18
End Price 2.890.19
Price Change % +25.61%+3.82%
Period High 3.890.32
Period Low 0.740.05
Price Range % 426.3%524.8%
🏆 All-Time Records
All-Time High 3.890.32
Days Since ATH 131 days48 days
Distance From ATH % -25.7%-39.9%
All-Time Low 0.740.05
Distance From ATL % +290.9%+275.7%
New ATHs Hit 16 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.53%6.91%
Biggest Jump (1 Day) % +1.92+0.07
Biggest Drop (1 Day) % -1.37-0.09
Days Above Avg % 63.1%49.7%
Extreme Moves days 5 (3.2%)7 (4.5%)
Stability Score % 0.0%0.0%
Trend Strength % 59.6%54.5%
Recent Momentum (10-day) % +11.80%+15.42%
📊 Statistical Measures
Average Price 2.500.19
Median Price 2.640.19
Price Std Deviation 0.730.05
🚀 Returns & Growth
CAGR % +70.49%+9.17%
Annualized Return % +70.49%+9.17%
Total Return % +25.61%+3.82%
⚠️ Risk & Volatility
Daily Volatility % 12.79%12.25%
Annualized Volatility % 244.32%233.98%
Max Drawdown % -81.00%-78.49%
Sharpe Ratio 0.0700.063
Sortino Ratio 0.0780.067
Calmar Ratio 0.8700.117
Ulcer Index 38.7434.74
📅 Daily Performance
Win Rate % 59.6%54.5%
Positive Days 9385
Negative Days 6371
Best Day % +103.53%+75.76%
Worst Day % -55.27%-50.96%
Avg Gain (Up Days) % +5.96%+7.53%
Avg Loss (Down Days) % -6.58%-7.32%
Profit Factor 1.341.23
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3371.232
Expectancy % +0.89%+0.77%
Kelly Criterion % 2.28%1.40%
📅 Weekly Performance
Best Week % +116.56%+74.61%
Worst Week % -39.18%-18.46%
Weekly Win Rate % 68.0%60.0%
📆 Monthly Performance
Best Month % +160.85%+118.02%
Worst Month % -55.73%-38.54%
Monthly Win Rate % 71.4%57.1%
🔧 Technical Indicators
RSI (14-period) 75.6970.48
Price vs 50-Day MA % +4.83%+4.07%

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 COOK (COOK): 0.682 (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

PYTH: Kraken
COOK: Bybit