PYTH PYTH / SPK Crypto vs MOVE MOVE / 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 / SPKMOVE / SPK
📈 Performance Metrics
Start Price 2.303.14
End Price 2.632.42
Price Change % +14.42%-23.02%
Period High 3.895.09
Period Low 0.740.92
Price Range % 426.3%454.9%
🏆 All-Time Records
All-Time High 3.895.09
Days Since ATH 121 days95 days
Distance From ATH % -32.3%-52.5%
All-Time Low 0.740.92
Distance From ATL % +256.1%+163.4%
New ATHs Hit 16 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.79%5.83%
Biggest Jump (1 Day) % +1.92+0.85
Biggest Drop (1 Day) % -1.37-1.41
Days Above Avg % 66.0%28.6%
Extreme Moves days 5 (3.4%)5 (4.5%)
Stability Score % 0.0%0.0%
Trend Strength % 60.3%37.8%
Recent Momentum (10-day) % -1.13%+3.44%
📊 Statistical Measures
Average Price 2.472.56
Median Price 2.632.09
Price Std Deviation 0.751.24
🚀 Returns & Growth
CAGR % +40.05%-57.69%
Annualized Return % +40.05%-57.69%
Total Return % +14.42%-23.02%
⚠️ Risk & Volatility
Daily Volatility % 13.20%10.67%
Annualized Volatility % 252.20%203.87%
Max Drawdown % -81.00%-81.98%
Sharpe Ratio 0.0670.039
Sortino Ratio 0.0740.033
Calmar Ratio 0.494-0.704
Ulcer Index 39.4054.74
📅 Daily Performance
Win Rate % 60.3%62.2%
Positive Days 8869
Negative Days 5842
Best Day % +103.53%+50.60%
Worst Day % -55.27%-56.06%
Avg Gain (Up Days) % +6.11%+5.25%
Avg Loss (Down Days) % -7.03%-7.51%
Profit Factor 1.321.15
🔥 Streaks & Patterns
Longest Win Streak days 811
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3191.148
Expectancy % +0.89%+0.42%
Kelly Criterion % 2.07%1.07%
📅 Weekly Performance
Best Week % +116.56%+32.20%
Worst Week % -39.18%-47.56%
Weekly Win Rate % 69.6%58.8%
📆 Monthly Performance
Best Month % +160.85%+47.54%
Worst Month % -55.73%-70.37%
Monthly Win Rate % 71.4%80.0%
🔧 Technical Indicators
RSI (14-period) 58.4776.96
Price vs 50-Day MA % -5.22%+16.35%

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 MOVE (MOVE): 0.655 (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
MOVE: Kraken
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