PYTH PYTH / SPK Crypto vs T T / 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 / SPKT / SPK
📈 Performance Metrics
Start Price 2.300.42
End Price 3.090.39
Price Change % +34.23%-7.24%
Period High 3.890.54
Period Low 0.740.10
Price Range % 426.3%426.6%
🏆 All-Time Records
All-Time High 3.890.54
Days Since ATH 90 days90 days
Distance From ATH % -20.6%-27.7%
All-Time Low 0.740.10
Distance From ATL % +317.7%+280.9%
New ATHs Hit 16 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.65%5.89%
Biggest Jump (1 Day) % +1.92+0.07
Biggest Drop (1 Day) % -1.37-0.16
Days Above Avg % 60.3%36.2%
Extreme Moves days 4 (3.5%)4 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 64.3%40.0%
Recent Momentum (10-day) % +6.77%+11.98%
📊 Statistical Measures
Average Price 2.430.31
Median Price 2.640.28
Price Std Deviation 0.840.12
🚀 Returns & Growth
CAGR % +154.57%-21.22%
Annualized Return % +154.57%-21.22%
Total Return % +34.23%-7.24%
⚠️ Risk & Volatility
Daily Volatility % 14.66%10.94%
Annualized Volatility % 279.98%209.07%
Max Drawdown % -81.00%-81.01%
Sharpe Ratio 0.0840.054
Sortino Ratio 0.0890.048
Calmar Ratio 1.908-0.262
Ulcer Index 40.9347.85
📅 Daily Performance
Win Rate % 64.3%59.6%
Positive Days 7468
Negative Days 4146
Best Day % +103.53%+58.62%
Worst Day % -55.27%-53.93%
Avg Gain (Up Days) % +6.78%+5.79%
Avg Loss (Down Days) % -8.76%-7.07%
Profit Factor 1.401.21
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3961.211
Expectancy % +1.24%+0.60%
Kelly Criterion % 2.08%1.47%
📅 Weekly Performance
Best Week % +116.56%+34.75%
Worst Week % -39.18%-39.48%
Weekly Win Rate % 73.7%68.4%
📆 Monthly Performance
Best Month % +160.85%+56.03%
Worst Month % -55.73%-58.34%
Monthly Win Rate % 83.3%66.7%
🔧 Technical Indicators
RSI (14-period) 55.2678.92
Price vs 50-Day MA % +8.74%+36.07%

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 T (T): 0.768 (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
T: Kraken