PYTH PYTH / SPK Crypto vs GLM GLM / 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 / SPKGLM / SPK
📈 Performance Metrics
Start Price 2.305.45
End Price 2.507.05
Price Change % +8.52%+29.38%
Period High 3.898.54
Period Low 0.741.49
Price Range % 426.3%473.1%
🏆 All-Time Records
All-Time High 3.898.54
Days Since ATH 113 days109 days
Distance From ATH % -35.8%-17.5%
All-Time Low 0.741.49
Distance From ATL % +237.7%+372.9%
New ATHs Hit 16 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.01%5.90%
Biggest Jump (1 Day) % +1.92+1.06
Biggest Drop (1 Day) % -1.37-2.84
Days Above Avg % 64.7%40.9%
Extreme Moves days 5 (3.6%)7 (5.1%)
Stability Score % 0.0%0.0%
Trend Strength % 60.1%61.0%
Recent Momentum (10-day) % -4.51%+10.71%
📊 Statistical Measures
Average Price 2.474.76
Median Price 2.644.34
Price Std Deviation 0.771.73
🚀 Returns & Growth
CAGR % +24.13%+99.62%
Annualized Return % +24.13%+99.62%
Total Return % +8.52%+29.38%
⚠️ Risk & Volatility
Daily Volatility % 13.57%10.63%
Annualized Volatility % 259.20%203.06%
Max Drawdown % -81.00%-82.55%
Sharpe Ratio 0.0660.076
Sortino Ratio 0.0730.068
Calmar Ratio 0.2981.207
Ulcer Index 39.6647.23
📅 Daily Performance
Win Rate % 60.6%61.0%
Positive Days 8383
Negative Days 5453
Best Day % +103.53%+59.13%
Worst Day % -55.27%-53.70%
Avg Gain (Up Days) % +6.34%+5.85%
Avg Loss (Down Days) % -7.45%-7.08%
Profit Factor 1.311.29
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3091.294
Expectancy % +0.91%+0.81%
Kelly Criterion % 1.92%1.96%
📅 Weekly Performance
Best Week % +116.56%+40.13%
Worst Week % -39.18%-29.63%
Weekly Win Rate % 68.2%68.2%
📆 Monthly Performance
Best Month % +160.85%+51.68%
Worst Month % -55.73%-53.82%
Monthly Win Rate % 66.7%66.7%
🔧 Technical Indicators
RSI (14-period) 30.6160.51
Price vs 50-Day MA % -11.90%+32.21%

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 GLM (GLM): 0.750 (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
GLM: Coinbase
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