PYTH PYTH / EIGEN Crypto vs FORTH FORTH / EIGEN Crypto

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

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Asset PYTH / EIGENFORTH / EIGEN
📈 Performance Metrics
Start Price 0.131.14
End Price 0.133.10
Price Change % -0.82%+171.46%
Period High 0.184.47
Period Low 0.080.97
Price Range % 133.9%361.6%
🏆 All-Time Records
All-Time High 0.184.47
Days Since ATH 74 days216 days
Distance From ATH % -26.7%-30.7%
All-Time Low 0.080.97
Distance From ATL % +71.4%+219.8%
New ATHs Hit 14 times19 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.88%5.22%
Biggest Jump (1 Day) % +0.09+1.50
Biggest Drop (1 Day) % -0.04-0.88
Days Above Avg % 45.6%45.1%
Extreme Moves days 9 (2.6%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%53.6%
Recent Momentum (10-day) % -1.73%-0.18%
📊 Statistical Measures
Average Price 0.112.10
Median Price 0.112.04
Price Std Deviation 0.030.58
🚀 Returns & Growth
CAGR % -0.87%+189.42%
Annualized Return % -0.87%+189.42%
Total Return % -0.82%+171.46%
⚠️ Risk & Volatility
Daily Volatility % 7.47%8.64%
Annualized Volatility % 142.79%164.98%
Max Drawdown % -56.94%-69.91%
Sharpe Ratio 0.0310.072
Sortino Ratio 0.0420.091
Calmar Ratio -0.0152.710
Ulcer Index 34.2841.76
📅 Daily Performance
Win Rate % 49.6%53.8%
Positive Days 170184
Negative Days 173158
Best Day % +91.66%+72.26%
Worst Day % -23.61%-25.81%
Avg Gain (Up Days) % +4.21%+5.54%
Avg Loss (Down Days) % -3.68%-5.10%
Profit Factor 1.121.27
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1241.265
Expectancy % +0.23%+0.63%
Kelly Criterion % 1.49%2.21%
📅 Weekly Performance
Best Week % +69.33%+67.32%
Worst Week % -25.75%-28.69%
Weekly Win Rate % 51.9%51.9%
📆 Monthly Performance
Best Month % +52.86%+27.50%
Worst Month % -41.70%-37.40%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 56.8359.37
Price vs 50-Day MA % +16.92%+31.41%
Price vs 200-Day MA % +24.75%+44.63%

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 FORTH (FORTH): 0.707 (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
FORTH: Kraken
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