PYTH PYTH / SPK Crypto vs SPEC SPEC / 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 / SPKSPEC / SPK
📈 Performance Metrics
Start Price 2.3015.44
End Price 2.966.21
Price Change % +28.82%-59.75%
Period High 3.8924.97
Period Low 0.743.57
Price Range % 426.3%599.7%
🏆 All-Time Records
All-Time High 3.8924.97
Days Since ATH 92 days98 days
Distance From ATH % -23.8%-75.1%
All-Time Low 0.743.57
Distance From ATL % +300.9%+74.1%
New ATHs Hit 16 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.56%7.77%
Biggest Jump (1 Day) % +1.92+4.92
Biggest Drop (1 Day) % -1.37-7.01
Days Above Avg % 61.0%27.1%
Extreme Moves days 4 (3.4%)7 (6.0%)
Stability Score % 0.0%0.0%
Trend Strength % 63.2%51.3%
Recent Momentum (10-day) % +4.10%-4.69%
📊 Statistical Measures
Average Price 2.449.90
Median Price 2.667.10
Price Std Deviation 0.835.94
🚀 Returns & Growth
CAGR % +120.35%-94.15%
Annualized Return % +120.35%-94.15%
Total Return % +28.82%-59.75%
⚠️ Risk & Volatility
Daily Volatility % 14.54%12.57%
Annualized Volatility % 277.75%240.23%
Max Drawdown % -81.00%-85.71%
Sharpe Ratio 0.0810.004
Sortino Ratio 0.0860.005
Calmar Ratio 1.486-1.099
Ulcer Index 40.7063.93
📅 Daily Performance
Win Rate % 63.8%48.3%
Positive Days 7456
Negative Days 4260
Best Day % +103.53%+60.61%
Worst Day % -55.27%-52.21%
Avg Gain (Up Days) % +6.78%+7.86%
Avg Loss (Down Days) % -8.66%-7.22%
Profit Factor 1.381.02
🔥 Streaks & Patterns
Longest Win Streak days 84
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 1.3801.015
Expectancy % +1.19%+0.06%
Kelly Criterion % 2.03%0.10%
📅 Weekly Performance
Best Week % +116.56%+46.30%
Worst Week % -39.18%-36.26%
Weekly Win Rate % 68.4%42.1%
📆 Monthly Performance
Best Month % +160.85%+36.16%
Worst Month % -55.73%-70.16%
Monthly Win Rate % 66.7%33.3%
🔧 Technical Indicators
RSI (14-period) 52.6750.31
Price vs 50-Day MA % +2.39%-11.31%

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 SPEC (SPEC): 0.536 (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
SPEC: Bybit