PYTH PYTH / SPK Crypto vs Q Q / 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 / SPKQ / SPK
📈 Performance Metrics
Start Price 2.300.16
End Price 2.760.46
Price Change % +20.02%+180.87%
Period High 3.890.93
Period Low 0.740.14
Price Range % 426.3%585.5%
🏆 All-Time Records
All-Time High 3.890.93
Days Since ATH 123 days39 days
Distance From ATH % -29.0%-50.6%
All-Time Low 0.740.14
Distance From ATL % +273.5%+238.9%
New ATHs Hit 16 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.75%10.95%
Biggest Jump (1 Day) % +1.92+0.22
Biggest Drop (1 Day) % -1.37-0.44
Days Above Avg % 64.4%54.7%
Extreme Moves days 5 (3.4%)6 (8.1%)
Stability Score % 0.0%0.0%
Trend Strength % 60.1%54.1%
Recent Momentum (10-day) % +3.17%-8.86%
📊 Statistical Measures
Average Price 2.480.46
Median Price 2.630.47
Price Std Deviation 0.750.15
🚀 Returns & Growth
CAGR % +56.83%+16,202.69%
Annualized Return % +56.83%+16,202.69%
Total Return % +20.02%+180.87%
⚠️ Risk & Volatility
Daily Volatility % 13.12%16.45%
Annualized Volatility % 250.63%314.19%
Max Drawdown % -81.00%-62.45%
Sharpe Ratio 0.0690.163
Sortino Ratio 0.0760.204
Calmar Ratio 0.702259.440
Ulcer Index 39.2837.44
📅 Daily Performance
Win Rate % 60.5%54.1%
Positive Days 8940
Negative Days 5834
Best Day % +103.53%+77.27%
Worst Day % -55.27%-47.35%
Avg Gain (Up Days) % +6.10%+12.74%
Avg Loss (Down Days) % -7.04%-9.17%
Profit Factor 1.331.63
🔥 Streaks & Patterns
Longest Win Streak days 85
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3301.635
Expectancy % +0.92%+2.67%
Kelly Criterion % 2.13%2.29%
📅 Weekly Performance
Best Week % +116.56%+27.45%
Worst Week % -39.18%-41.13%
Weekly Win Rate % 69.6%50.0%
📆 Monthly Performance
Best Month % +160.85%+316.19%
Worst Month % -55.73%-42.89%
Monthly Win Rate % 71.4%50.0%
🔧 Technical Indicators
RSI (14-period) 73.9960.84
Price vs 50-Day MA % -0.65%-9.13%

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 Q (Q): 0.634 (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
Q: Kraken