PYTH PYTH / SPK Crypto vs KERNEL KERNEL / 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 / SPKKERNEL / SPK
📈 Performance Metrics
Start Price 2.302.80
End Price 2.493.02
Price Change % +8.00%+8.12%
Period High 3.894.92
Period Low 0.740.91
Price Range % 426.3%440.8%
🏆 All-Time Records
All-Time High 3.894.92
Days Since ATH 110 days110 days
Distance From ATH % -36.1%-38.5%
All-Time Low 0.740.91
Distance From ATL % +236.1%+232.6%
New ATHs Hit 16 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.14%6.65%
Biggest Jump (1 Day) % +1.92+0.94
Biggest Drop (1 Day) % -1.37-1.38
Days Above Avg % 64.7%51.5%
Extreme Moves days 5 (3.7%)4 (3.0%)
Stability Score % 0.0%0.0%
Trend Strength % 60.7%54.1%
Recent Momentum (10-day) % -5.32%-1.71%
📊 Statistical Measures
Average Price 2.473.07
Median Price 2.643.08
Price Std Deviation 0.780.76
🚀 Returns & Growth
CAGR % +23.14%+23.49%
Annualized Return % +23.14%+23.49%
Total Return % +8.00%+8.12%
⚠️ Risk & Volatility
Daily Volatility % 13.72%13.20%
Annualized Volatility % 262.04%252.13%
Max Drawdown % -81.00%-81.51%
Sharpe Ratio 0.0670.064
Sortino Ratio 0.0730.074
Calmar Ratio 0.2860.288
Ulcer Index 39.7437.27
📅 Daily Performance
Win Rate % 60.7%54.1%
Positive Days 8273
Negative Days 5362
Best Day % +103.53%+103.47%
Worst Day % -55.27%-48.07%
Avg Gain (Up Days) % +6.41%+7.52%
Avg Loss (Down Days) % -7.58%-7.02%
Profit Factor 1.311.26
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3081.261
Expectancy % +0.92%+0.84%
Kelly Criterion % 1.89%1.59%
📅 Weekly Performance
Best Week % +116.56%+44.23%
Worst Week % -39.18%-20.67%
Weekly Win Rate % 63.6%68.2%
📆 Monthly Performance
Best Month % +160.85%+57.94%
Worst Month % -55.73%-33.07%
Monthly Win Rate % 66.7%50.0%
🔧 Technical Indicators
RSI (14-period) 41.3456.04
Price vs 50-Day MA % -12.66%-12.52%

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 KERNEL (KERNEL): 0.859 (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
KERNEL: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures