PYTH PYTH / PDA Crypto vs FORTH FORTH / PDA Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / PDAFORTH / PDA
📈 Performance Metrics
Start Price 8.1590.46
End Price 32.15810.45
Price Change % +294.60%+795.94%
Period High 41.99899.55
Period Low 6.8185.37
Price Range % 516.4%953.7%
🏆 All-Time Records
All-Time High 41.99899.55
Days Since ATH 82 days26 days
Distance From ATH % -23.4%-9.9%
All-Time Low 6.8185.37
Distance From ATL % +372.0%+849.4%
New ATHs Hit 36 times33 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.30%5.12%
Biggest Jump (1 Day) % +19.92+188.16
Biggest Drop (1 Day) % -8.04-130.22
Days Above Avg % 41.6%48.3%
Extreme Moves days 11 (3.2%)12 (3.5%)
Stability Score % 56.6%97.8%
Trend Strength % 51.0%53.9%
Recent Momentum (10-day) % -5.43%-0.90%
📊 Statistical Measures
Average Price 18.51363.82
Median Price 16.68317.66
Price Std Deviation 9.84214.71
🚀 Returns & Growth
CAGR % +330.91%+931.24%
Annualized Return % +330.91%+931.24%
Total Return % +294.60%+795.94%
⚠️ Risk & Volatility
Daily Volatility % 8.02%8.10%
Annualized Volatility % 153.31%154.70%
Max Drawdown % -43.99%-44.90%
Sharpe Ratio 0.0850.116
Sortino Ratio 0.1140.150
Calmar Ratio 7.52320.742
Ulcer Index 15.4514.65
📅 Daily Performance
Win Rate % 51.2%54.1%
Positive Days 175185
Negative Days 167157
Best Day % +90.25%+62.16%
Worst Day % -19.89%-19.48%
Avg Gain (Up Days) % +5.42%+5.64%
Avg Loss (Down Days) % -4.29%-4.60%
Profit Factor 1.321.45
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 64
💹 Trading Metrics
Omega Ratio 1.3251.446
Expectancy % +0.68%+0.94%
Kelly Criterion % 2.92%3.63%
📅 Weekly Performance
Best Week % +49.06%+93.93%
Worst Week % -24.80%-38.70%
Weekly Win Rate % 57.7%55.8%
📆 Monthly Performance
Best Month % +58.23%+89.76%
Worst Month % -17.43%-10.57%
Monthly Win Rate % 76.9%84.6%
🔧 Technical Indicators
RSI (14-period) 50.4855.17
Price vs 50-Day MA % -5.75%+10.92%
Price vs 200-Day MA % +27.95%+58.08%

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): 0.947 (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