FORTH FORTH / PYTH Crypto vs MATH MATH / PYTH Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset FORTH / PYTHMATH / PYTH
📈 Performance Metrics
Start Price 7.240.65
End Price 22.010.63
Price Change % +204.17%-2.96%
Period High 27.081.16
Period Low 7.240.45
Price Range % 274.2%154.7%
🏆 All-Time Records
All-Time High 27.081.16
Days Since ATH 199 days146 days
Distance From ATH % -18.7%-45.7%
All-Time Low 7.240.45
Distance From ATL % +204.2%+38.3%
New ATHs Hit 22 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.15%3.94%
Biggest Jump (1 Day) % +8.34+0.25
Biggest Drop (1 Day) % -13.07-0.44
Days Above Avg % 46.8%56.9%
Extreme Moves days 13 (3.8%)10 (2.9%)
Stability Score % 59.7%0.0%
Trend Strength % 55.4%51.8%
Recent Momentum (10-day) % +11.73%+6.89%
📊 Statistical Measures
Average Price 17.900.80
Median Price 17.350.84
Price Std Deviation 4.210.14
🚀 Returns & Growth
CAGR % +226.67%-3.16%
Annualized Return % +226.67%-3.16%
Total Return % +204.17%-2.96%
⚠️ Risk & Volatility
Daily Volatility % 7.21%5.95%
Annualized Volatility % 137.67%113.74%
Max Drawdown % -52.47%-60.74%
Sharpe Ratio 0.0810.031
Sortino Ratio 0.0890.031
Calmar Ratio 4.320-0.052
Ulcer Index 24.4425.56
📅 Daily Performance
Win Rate % 55.4%48.2%
Positive Days 190165
Negative Days 153177
Best Day % +55.14%+33.74%
Worst Day % -50.39%-49.05%
Avg Gain (Up Days) % +4.28%+4.30%
Avg Loss (Down Days) % -4.01%-3.65%
Profit Factor 1.331.10
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.3261.097
Expectancy % +0.58%+0.18%
Kelly Criterion % 3.40%1.17%
📅 Weekly Performance
Best Week % +51.41%+21.90%
Worst Week % -40.16%-39.06%
Weekly Win Rate % 53.8%40.4%
📆 Monthly Performance
Best Month % +73.96%+21.77%
Worst Month % -31.30%-37.88%
Monthly Win Rate % 76.9%53.8%
🔧 Technical Indicators
RSI (14-period) 58.6663.80
Price vs 50-Day MA % +22.36%+7.94%
Price vs 200-Day MA % +9.30%-22.33%
💰 Volume Analysis
Avg Volume 66,68814,647,521
Total Volume 22,940,5915,024,099,542

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 MATH (MATH): 0.559 (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

FORTH: Kraken
MATH: Coinbase