PYTH PYTH / CFX Crypto vs SPK SPK / CFX Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / CFXSPK / CFX
📈 Performance Metrics
Start Price 2.530.57
End Price 0.950.38
Price Change % -62.41%-33.15%
Period High 2.531.03
Period Low 0.520.18
Price Range % 383.1%479.1%
🏆 All-Time Records
All-Time High 2.531.03
Days Since ATH 343 days105 days
Distance From ATH % -62.4%-63.2%
All-Time Low 0.520.18
Distance From ATL % +81.6%+113.3%
New ATHs Hit 0 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.98%7.37%
Biggest Jump (1 Day) % +0.50+0.52
Biggest Drop (1 Day) % -0.59-0.41
Days Above Avg % 54.1%35.3%
Extreme Moves days 7 (2.0%)6 (4.3%)
Stability Score % 0.0%0.0%
Trend Strength % 51.6%57.2%
Recent Momentum (10-day) % -9.84%-5.65%
📊 Statistical Measures
Average Price 1.510.41
Median Price 1.610.38
Price Std Deviation 0.520.10
🚀 Returns & Growth
CAGR % -64.69%-65.53%
Annualized Return % -64.69%-65.53%
Total Return % -62.41%-33.15%
⚠️ Risk & Volatility
Daily Volatility % 6.36%14.92%
Annualized Volatility % 121.51%285.01%
Max Drawdown % -79.30%-75.15%
Sharpe Ratio -0.0150.042
Sortino Ratio -0.0170.067
Calmar Ratio -0.816-0.872
Ulcer Index 45.1157.55
📅 Daily Performance
Win Rate % 48.4%42.8%
Positive Days 16659
Negative Days 17779
Best Day % +74.44%+102.39%
Worst Day % -47.11%-48.68%
Avg Gain (Up Days) % +3.20%+8.95%
Avg Loss (Down Days) % -3.19%-5.59%
Profit Factor 0.941.20
🔥 Streaks & Patterns
Longest Win Streak days 93
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 0.9431.196
Expectancy % -0.09%+0.63%
Kelly Criterion % 0.00%1.25%
📅 Weekly Performance
Best Week % +48.76%+79.86%
Worst Week % -43.63%-43.36%
Weekly Win Rate % 48.1%27.3%
📆 Monthly Performance
Best Month % +67.93%+8.58%
Worst Month % -60.62%-35.62%
Monthly Win Rate % 46.2%16.7%
🔧 Technical Indicators
RSI (14-period) 27.4249.11
Price vs 50-Day MA % -6.14%+6.12%
Price vs 200-Day MA % -19.65%N/A

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 SPK (SPK): -0.092 (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

PYTH: Kraken
SPK: Kraken