SPK SPK / TREE Crypto vs PYTH PYTH / TREE 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 SPK / TREEPYTH / TREE
📈 Performance Metrics
Start Price 0.140.19
End Price 0.210.54
Price Change % +47.24%+193.91%
Period High 0.290.69
Period Low 0.140.19
Price Range % 105.5%274.8%
🏆 All-Time Records
All-Time High 0.290.69
Days Since ATH 99 days29 days
Distance From ATH % -28.4%-21.6%
All-Time Low 0.140.19
Distance From ATL % +47.2%+193.9%
New ATHs Hit 7 times25 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.34%3.59%
Biggest Jump (1 Day) % +0.05+0.21
Biggest Drop (1 Day) % -0.05-0.07
Days Above Avg % 46.8%66.1%
Extreme Moves days 7 (6.5%)2 (1.9%)
Stability Score % 0.0%0.0%
Trend Strength % 50.9%57.4%
Recent Momentum (10-day) % -1.46%-1.36%
📊 Statistical Measures
Average Price 0.210.50
Median Price 0.210.53
Price Std Deviation 0.030.13
🚀 Returns & Growth
CAGR % +269.68%+3,722.97%
Annualized Return % +269.68%+3,722.97%
Total Return % +47.24%+193.91%
⚠️ Risk & Volatility
Daily Volatility % 8.33%7.17%
Annualized Volatility % 159.09%137.04%
Max Drawdown % -46.80%-26.43%
Sharpe Ratio 0.0830.170
Sortino Ratio 0.1000.273
Calmar Ratio 5.762140.877
Ulcer Index 27.8112.14
📅 Daily Performance
Win Rate % 51.4%57.4%
Positive Days 5562
Negative Days 5246
Best Day % +35.48%+56.29%
Worst Day % -23.21%-14.23%
Avg Gain (Up Days) % +6.01%+4.46%
Avg Loss (Down Days) % -4.93%-3.15%
Profit Factor 1.291.91
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.2911.910
Expectancy % +0.70%+1.22%
Kelly Criterion % 2.35%8.68%
📅 Weekly Performance
Best Week % +41.54%+43.16%
Worst Week % -33.89%-12.52%
Weekly Win Rate % 35.3%64.7%
📆 Monthly Performance
Best Month % +38.97%+144.64%
Worst Month % -7.27%-14.69%
Monthly Win Rate % 33.3%66.7%
🔧 Technical Indicators
RSI (14-period) 49.4758.31
Price vs 50-Day MA % -2.87%-8.30%

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).

SPK (SPK) vs PYTH (PYTH): -0.156 (Weak)

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

SPK: Kraken
PYTH: Kraken
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