PYTH PYTH / CFX Crypto vs FORTH FORTH / 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 / CFXFORTH / CFX
📈 Performance Metrics
Start Price 2.5121.51
End Price 0.9422.07
Price Change % -62.55%+2.60%
Period High 2.5347.47
Period Low 0.5210.88
Price Range % 383.1%336.2%
🏆 All-Time Records
All-Time High 2.5347.47
Days Since ATH 341 days209 days
Distance From ATH % -62.9%-53.5%
All-Time Low 0.5210.88
Distance From ATL % +79.1%+102.8%
New ATHs Hit 1 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.98%4.08%
Biggest Jump (1 Day) % +0.50+15.10
Biggest Drop (1 Day) % -0.59-13.01
Days Above Avg % 54.4%58.4%
Extreme Moves days 7 (2.0%)10 (2.9%)
Stability Score % 0.0%72.5%
Trend Strength % 51.6%52.5%
Recent Momentum (10-day) % -9.32%+0.62%
📊 Statistical Measures
Average Price 1.5226.66
Median Price 1.6329.09
Price Std Deviation 0.527.78
🚀 Returns & Growth
CAGR % -64.83%+2.77%
Annualized Return % -64.83%+2.77%
Total Return % -62.55%+2.60%
⚠️ Risk & Volatility
Daily Volatility % 6.36%7.32%
Annualized Volatility % 121.55%139.92%
Max Drawdown % -79.30%-77.07%
Sharpe Ratio -0.0150.037
Sortino Ratio -0.0170.042
Calmar Ratio -0.8180.036
Ulcer Index 44.8642.21
📅 Daily Performance
Win Rate % 48.2%52.6%
Positive Days 165180
Negative Days 177162
Best Day % +74.44%+56.86%
Worst Day % -47.11%-50.62%
Avg Gain (Up Days) % +3.23%+4.17%
Avg Loss (Down Days) % -3.19%-4.06%
Profit Factor 0.941.14
🔥 Streaks & Patterns
Longest Win Streak days 912
Longest Loss Streak days 107
💹 Trading Metrics
Omega Ratio 0.9431.141
Expectancy % -0.09%+0.27%
Kelly Criterion % 0.00%1.61%
📅 Weekly Performance
Best Week % +48.76%+47.93%
Worst Week % -43.63%-49.84%
Weekly Win Rate % 46.2%51.9%
📆 Monthly Performance
Best Month % +67.93%+75.92%
Worst Month % -60.62%-62.20%
Monthly Win Rate % 46.2%69.2%
🔧 Technical Indicators
RSI (14-period) 37.5061.47
Price vs 50-Day MA % -7.28%+12.68%
Price vs 200-Day MA % -21.48%-7.12%

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): 0.714 (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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