PYTH PYTH / MOODENG 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 / MOODENGFORTH / USD
📈 Performance Metrics
Start Price 1.343.03
End Price 1.062.04
Price Change % -21.49%-32.67%
Period High 5.415.91
Period Low 0.431.93
Price Range % 1,150.2%207.0%
🏆 All-Time Records
All-Time High 5.415.91
Days Since ATH 181 days297 days
Distance From ATH % -80.5%-65.5%
All-Time Low 0.431.93
Distance From ATL % +143.8%+6.0%
New ATHs Hit 39 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.61%4.00%
Biggest Jump (1 Day) % +0.78+0.92
Biggest Drop (1 Day) % -1.45-1.33
Days Above Avg % 36.8%30.8%
Extreme Moves days 10 (3.3%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 43.5%49.9%
Recent Momentum (10-day) % +4.61%-11.35%
📊 Statistical Measures
Average Price 1.953.22
Median Price 1.232.80
Price Std Deviation 1.490.99
🚀 Returns & Growth
CAGR % -25.42%-34.36%
Annualized Return % -25.42%-34.36%
Total Return % -21.49%-32.67%
⚠️ Risk & Volatility
Daily Volatility % 8.80%5.75%
Annualized Volatility % 168.16%109.86%
Max Drawdown % -92.00%-67.42%
Sharpe Ratio 0.0330.008
Sortino Ratio 0.0330.008
Calmar Ratio -0.276-0.510
Ulcer Index 62.9746.96
📅 Daily Performance
Win Rate % 56.3%49.7%
Positive Days 169169
Negative Days 131171
Best Day % +93.25%+36.97%
Worst Day % -42.41%-23.06%
Avg Gain (Up Days) % +4.40%+3.96%
Avg Loss (Down Days) % -5.02%-3.82%
Profit Factor 1.131.02
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 811
💹 Trading Metrics
Omega Ratio 1.1311.023
Expectancy % +0.29%+0.04%
Kelly Criterion % 1.30%0.30%
📅 Weekly Performance
Best Week % +68.84%+40.34%
Worst Week % -76.83%-23.66%
Weekly Win Rate % 63.0%51.9%
📆 Monthly Performance
Best Month % +98.63%+41.16%
Worst Month % -83.17%-25.94%
Monthly Win Rate % 50.0%53.8%
🔧 Technical Indicators
RSI (14-period) 56.4524.75
Price vs 50-Day MA % -0.88%-22.31%
Price vs 200-Day MA % -29.92%-21.90%

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): 0.053 (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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