PYTH PYTH / SPK Crypto vs PUMP PUMP / USD 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 / SPKPUMP / USD
📈 Performance Metrics
Start Price 2.300.01
End Price 2.640.00
Price Change % +14.68%-46.03%
Period High 3.890.01
Period Low 0.740.00
Price Range % 426.3%252.8%
🏆 All-Time Records
All-Time High 3.890.01
Days Since ATH 105 days43 days
Distance From ATH % -32.2%-64.1%
All-Time Low 0.740.00
Distance From ATL % +256.9%+26.8%
New ATHs Hit 16 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.30%7.35%
Biggest Jump (1 Day) % +1.92+0.00
Biggest Drop (1 Day) % -1.370.00
Days Above Avg % 64.1%38.3%
Extreme Moves days 5 (3.8%)5 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 61.5%53.8%
Recent Momentum (10-day) % -9.50%-16.29%
📊 Statistical Measures
Average Price 2.470.00
Median Price 2.650.00
Price Std Deviation 0.790.00
🚀 Returns & Growth
CAGR % +46.91%-88.04%
Annualized Return % +46.91%-88.04%
Total Return % +14.68%-46.03%
⚠️ Risk & Volatility
Daily Volatility % 13.97%8.99%
Annualized Volatility % 266.85%171.83%
Max Drawdown % -81.00%-66.47%
Sharpe Ratio 0.071-0.019
Sortino Ratio 0.077-0.020
Calmar Ratio 0.579-1.325
Ulcer Index 39.8845.07
📅 Daily Performance
Win Rate % 62.0%46.2%
Positive Days 8049
Negative Days 4957
Best Day % +103.53%+19.89%
Worst Day % -55.27%-23.74%
Avg Gain (Up Days) % +6.54%+7.74%
Avg Loss (Down Days) % -8.04%-6.98%
Profit Factor 1.330.95
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 1.3290.954
Expectancy % +1.01%-0.17%
Kelly Criterion % 1.91%0.00%
📅 Weekly Performance
Best Week % +116.56%+69.59%
Worst Week % -39.18%-36.40%
Weekly Win Rate % 66.7%52.9%
📆 Monthly Performance
Best Month % +160.85%+74.83%
Worst Month % -55.73%-56.13%
Monthly Win Rate % 66.7%40.0%
🔧 Technical Indicators
RSI (14-period) 42.0139.03
Price vs 50-Day MA % -7.60%-43.24%

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 PUMP (PUMP): 0.592 (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
PUMP: Kraken
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