MATH MATH / PYTH Crypto vs FORTH FORTH / PYTH Crypto

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

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Asset MATH / PYTHFORTH / PYTH
📈 Performance Metrics
Start Price 0.7511.98
End Price 0.6726.72
Price Change % -10.80%+123.11%
Period High 1.1627.08
Period Low 0.4510.85
Price Range % 154.7%149.6%
🏆 All-Time Records
All-Time High 1.1627.08
Days Since ATH 173 days226 days
Distance From ATH % -42.3%-1.3%
All-Time Low 0.4510.85
Distance From ATL % +46.9%+146.4%
New ATHs Hit 10 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.89%3.95%
Biggest Jump (1 Day) % +0.25+8.34
Biggest Drop (1 Day) % -0.44-13.07
Days Above Avg % 56.9%46.5%
Extreme Moves days 12 (3.5%)13 (3.8%)
Stability Score % 0.0%62.8%
Trend Strength % 50.9%54.5%
Recent Momentum (10-day) % -0.94%+9.65%
📊 Statistical Measures
Average Price 0.8019.07
Median Price 0.8418.54
Price Std Deviation 0.143.59
🚀 Returns & Growth
CAGR % -11.49%+134.90%
Annualized Return % -11.49%+134.90%
Total Return % -10.80%+123.11%
⚠️ Risk & Volatility
Daily Volatility % 5.90%7.10%
Annualized Volatility % 112.70%135.60%
Max Drawdown % -60.74%-52.47%
Sharpe Ratio 0.0260.068
Sortino Ratio 0.0260.075
Calmar Ratio -0.1892.571
Ulcer Index 27.8224.67
📅 Daily Performance
Win Rate % 49.1%54.7%
Positive Days 168187
Negative Days 174155
Best Day % +33.74%+55.14%
Worst Day % -49.05%-50.39%
Avg Gain (Up Days) % +4.13%+4.10%
Avg Loss (Down Days) % -3.68%-3.87%
Profit Factor 1.081.28
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.0831.277
Expectancy % +0.16%+0.49%
Kelly Criterion % 1.02%3.07%
📅 Weekly Performance
Best Week % +19.80%+51.41%
Worst Week % -39.06%-40.16%
Weekly Win Rate % 42.3%51.9%
📆 Monthly Performance
Best Month % +21.77%+19.93%
Worst Month % -37.88%-31.30%
Monthly Win Rate % 38.5%76.9%
🔧 Technical Indicators
RSI (14-period) 44.5875.23
Price vs 50-Day MA % +6.66%+21.73%
Price vs 200-Day MA % -15.16%+28.95%

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).

MATH (MATH) vs FORTH (FORTH): 0.364 (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

MATH: Coinbase
FORTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures