PYTH PYTH / FRAG Crypto vs FORTH FORTH / USD Crypto

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

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Asset PYTH / FRAGFORTH / USD
📈 Performance Metrics
Start Price 1.062.68
End Price 7.652.02
Price Change % +619.76%-24.70%
Period High 8.865.91
Period Low 1.061.93
Price Range % 733.5%207.0%
🏆 All-Time Records
All-Time High 8.865.91
Days Since ATH 2 days295 days
Distance From ATH % -13.7%-65.8%
All-Time Low 1.061.93
Distance From ATL % +619.8%+5.0%
New ATHs Hit 18 times22 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.58%4.01%
Biggest Jump (1 Day) % +3.45+0.92
Biggest Drop (1 Day) % -1.12-1.33
Days Above Avg % 44.8%30.8%
Extreme Moves days 3 (2.9%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 51.9%49.6%
Recent Momentum (10-day) % +40.96%-4.46%
📊 Statistical Measures
Average Price 3.483.23
Median Price 3.022.80
Price Std Deviation 1.430.98
🚀 Returns & Growth
CAGR % +101,854.73%-26.06%
Annualized Return % +101,854.73%-26.06%
Total Return % +619.76%-24.70%
⚠️ Risk & Volatility
Daily Volatility % 13.78%5.77%
Annualized Volatility % 263.17%110.17%
Max Drawdown % -33.28%-67.42%
Sharpe Ratio 0.1920.013
Sortino Ratio 0.3850.015
Calmar Ratio 3,060.158-0.387
Ulcer Index 15.1846.69
📅 Daily Performance
Win Rate % 51.9%50.0%
Positive Days 54170
Negative Days 50170
Best Day % +96.20%+36.97%
Worst Day % -27.24%-23.06%
Avg Gain (Up Days) % +9.36%+3.98%
Avg Loss (Down Days) % -4.61%-3.83%
Profit Factor 2.191.04
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 711
💹 Trading Metrics
Omega Ratio 2.1901.041
Expectancy % +2.64%+0.08%
Kelly Criterion % 6.12%0.51%
📅 Weekly Performance
Best Week % +68.49%+40.34%
Worst Week % -17.54%-23.66%
Weekly Win Rate % 76.5%50.0%
📆 Monthly Performance
Best Month % +114.02%+59.35%
Worst Month % -11.74%-25.94%
Monthly Win Rate % 80.0%53.8%
🔧 Technical Indicators
RSI (14-period) 81.5525.38
Price vs 50-Day MA % +65.50%-24.03%
Price vs 200-Day MA % N/A-22.77%

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): -0.102 (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
FORTH: Kraken
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