PYTH PYTH / FORTH Crypto vs EIGEN EIGEN / FORTH Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / FORTHEIGEN / FORTH
📈 Performance Metrics
Start Price 0.130.95
End Price 0.050.38
Price Change % -63.63%-60.42%
Period High 0.141.06
Period Low 0.040.22
Price Range % 274.2%373.7%
🏆 All-Time Records
All-Time High 0.141.06
Days Since ATH 334 days342 days
Distance From ATH % -66.5%-64.5%
All-Time Low 0.040.22
Distance From ATL % +25.5%+68.1%
New ATHs Hit 4 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.05%5.49%
Biggest Jump (1 Day) % +0.04+0.20
Biggest Drop (1 Day) % -0.02-0.29
Days Above Avg % 34.3%41.9%
Extreme Moves days 9 (2.6%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 54.8%54.2%
Recent Momentum (10-day) % -10.32%-23.71%
📊 Statistical Measures
Average Price 0.060.55
Median Price 0.060.52
Price Std Deviation 0.020.17
🚀 Returns & Growth
CAGR % -65.92%-62.70%
Annualized Return % -65.92%-62.70%
Total Return % -63.63%-60.42%
⚠️ Risk & Volatility
Daily Volatility % 8.02%7.77%
Annualized Volatility % 153.25%148.43%
Max Drawdown % -73.28%-78.89%
Sharpe Ratio -0.0030.006
Sortino Ratio -0.0030.006
Calmar Ratio -0.900-0.795
Ulcer Index 57.2450.20
📅 Daily Performance
Win Rate % 45.0%45.8%
Positive Days 154157
Negative Days 188186
Best Day % +101.56%+34.79%
Worst Day % -35.54%-41.95%
Avg Gain (Up Days) % +4.58%+5.91%
Avg Loss (Down Days) % -3.79%-4.90%
Profit Factor 0.991.02
🔥 Streaks & Patterns
Longest Win Streak days 54
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 0.9901.017
Expectancy % -0.02%+0.05%
Kelly Criterion % 0.00%0.16%
📅 Weekly Performance
Best Week % +67.10%+40.24%
Worst Week % -33.96%-40.23%
Weekly Win Rate % 46.2%46.2%
📆 Monthly Performance
Best Month % +45.57%+59.74%
Worst Month % -42.52%-24.41%
Monthly Win Rate % 23.1%30.8%
🔧 Technical Indicators
RSI (14-period) 19.3736.09
Price vs 50-Day MA % -21.44%-33.74%
Price vs 200-Day MA % -9.89%-23.21%

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 EIGEN (EIGEN): 0.746 (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
EIGEN: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures