FORTH FORTH / MDAO Crypto vs PYTH PYTH / USD Crypto

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

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Asset FORTH / MDAOPYTH / USD
📈 Performance Metrics
Start Price 39.920.34
End Price 136.400.09
Price Change % +241.70%-72.67%
Period High 149.700.53
Period Low 39.920.09
Price Range % 275.0%518.7%
🏆 All-Time Records
All-Time High 149.700.53
Days Since ATH 3 days315 days
Distance From ATH % -8.9%-82.6%
All-Time Low 39.920.09
Distance From ATL % +241.7%+7.9%
New ATHs Hit 28 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.03%4.41%
Biggest Jump (1 Day) % +51.11+0.11
Biggest Drop (1 Day) % -29.69-0.09
Days Above Avg % 57.3%30.5%
Extreme Moves days 15 (4.4%)6 (1.7%)
Stability Score % 91.4%0.0%
Trend Strength % 53.4%49.6%
Recent Momentum (10-day) % +46.52%-13.95%
📊 Statistical Measures
Average Price 89.300.21
Median Price 91.430.16
Price Std Deviation 19.770.12
🚀 Returns & Growth
CAGR % +269.72%-74.85%
Annualized Return % +269.72%-74.85%
Total Return % +241.70%-72.67%
⚠️ Risk & Volatility
Daily Volatility % 7.69%7.94%
Annualized Volatility % 146.85%151.77%
Max Drawdown % -61.96%-83.84%
Sharpe Ratio 0.083-0.014
Sortino Ratio 0.095-0.018
Calmar Ratio 4.353-0.893
Ulcer Index 28.8863.98
📅 Daily Performance
Win Rate % 53.4%50.3%
Positive Days 183172
Negative Days 160170
Best Day % +54.40%+99.34%
Worst Day % -30.84%-32.57%
Avg Gain (Up Days) % +5.33%+4.48%
Avg Loss (Down Days) % -4.73%-4.76%
Profit Factor 1.290.95
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.2900.952
Expectancy % +0.64%-0.11%
Kelly Criterion % 2.54%0.00%
📅 Weekly Performance
Best Week % +58.97%+65.86%
Worst Week % -26.41%-27.08%
Weekly Win Rate % 65.4%51.9%
📆 Monthly Performance
Best Month % +83.72%+65.32%
Worst Month % -25.30%-31.62%
Monthly Win Rate % 53.8%38.5%
🔧 Technical Indicators
RSI (14-period) 85.1223.88
Price vs 50-Day MA % +78.43%-41.09%
Price vs 200-Day MA % +45.38%-31.68%

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).

FORTH (FORTH) vs PYTH (PYTH): -0.443 (Moderate negative)

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

FORTH: Kraken
PYTH: Kraken
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