PYTH PYTH / FORTH Crypto vs FORTH FORTH / USD 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 / FORTHFORTH / USD
📈 Performance Metrics
Start Price 0.124.54
End Price 0.041.62
Price Change % -61.56%-64.29%
Period High 0.125.91
Period Low 0.041.58
Price Range % 215.2%274.7%
🏆 All-Time Records
All-Time High 0.125.91
Days Since ATH 343 days324 days
Distance From ATH % -61.6%-72.6%
All-Time Low 0.041.58
Distance From ATL % +21.2%+2.7%
New ATHs Hit 0 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.10%3.95%
Biggest Jump (1 Day) % +0.04+0.92
Biggest Drop (1 Day) % -0.02-1.33
Days Above Avg % 48.0%27.9%
Extreme Moves days 9 (2.6%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%52.5%
Recent Momentum (10-day) % +1.22%-10.35%
📊 Statistical Measures
Average Price 0.063.10
Median Price 0.052.73
Price Std Deviation 0.011.04
🚀 Returns & Growth
CAGR % -63.85%-66.57%
Annualized Return % -63.85%-66.57%
Total Return % -61.56%-64.29%
⚠️ Risk & Volatility
Daily Volatility % 8.03%5.70%
Annualized Volatility % 153.34%108.83%
Max Drawdown % -68.28%-73.31%
Sharpe Ratio -0.001-0.025
Sortino Ratio -0.001-0.028
Calmar Ratio -0.935-0.908
Ulcer Index 53.0650.67
📅 Daily Performance
Win Rate % 45.9%47.1%
Positive Days 157160
Negative Days 185180
Best Day % +101.56%+36.97%
Worst Day % -35.54%-23.06%
Avg Gain (Up Days) % +4.48%+3.87%
Avg Loss (Down Days) % -3.81%-3.71%
Profit Factor 1.000.93
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 811
💹 Trading Metrics
Omega Ratio 0.9980.926
Expectancy % 0.00%-0.14%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +67.10%+40.34%
Worst Week % -33.96%-23.66%
Weekly Win Rate % 48.1%48.1%
📆 Monthly Performance
Best Month % +45.57%+22.04%
Worst Month % -38.83%-25.94%
Monthly Win Rate % 30.8%53.8%
🔧 Technical Indicators
RSI (14-period) 57.7022.91
Price vs 50-Day MA % -10.30%-25.08%
Price vs 200-Day MA % -10.77%-35.80%

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): 0.660 (Moderate 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