PYTH PYTH / FORTH Crypto vs DUCK DUCK / FORTH 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 / FORTHDUCK / FORTH
📈 Performance Metrics
Start Price 0.140.00
End Price 0.050.00
Price Change % -64.85%-54.80%
Period High 0.140.00
Period Low 0.040.00
Price Range % 274.2%397.3%
🏆 All-Time Records
All-Time High 0.140.00
Days Since ATH 342 days35 days
Distance From ATH % -65.6%-78.0%
All-Time Low 0.040.00
Distance From ATL % +28.6%+9.4%
New ATHs Hit 1 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.12%7.31%
Biggest Jump (1 Day) % +0.04+0.00
Biggest Drop (1 Day) % -0.020.00
Days Above Avg % 38.4%47.5%
Extreme Moves days 9 (2.6%)9 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 55.1%50.9%
Recent Momentum (10-day) % -12.87%-10.34%
📊 Statistical Measures
Average Price 0.060.00
Median Price 0.060.00
Price Std Deviation 0.020.00
🚀 Returns & Growth
CAGR % -67.13%-73.54%
Annualized Return % -67.13%-73.54%
Total Return % -64.85%-54.80%
⚠️ Risk & Volatility
Daily Volatility % 8.06%11.58%
Annualized Volatility % 153.97%221.16%
Max Drawdown % -73.28%-79.89%
Sharpe Ratio -0.0030.024
Sortino Ratio -0.0050.028
Calmar Ratio -0.916-0.920
Ulcer Index 58.1039.53
📅 Daily Performance
Win Rate % 44.9%48.8%
Positive Days 154106
Negative Days 189111
Best Day % +101.56%+93.16%
Worst Day % -35.54%-47.57%
Avg Gain (Up Days) % +4.62%+7.15%
Avg Loss (Down Days) % -3.81%-6.28%
Profit Factor 0.991.09
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 0.9871.086
Expectancy % -0.03%+0.28%
Kelly Criterion % 0.00%0.62%
📅 Weekly Performance
Best Week % +67.10%+32.76%
Worst Week % -33.96%-47.11%
Weekly Win Rate % 46.2%54.5%
📆 Monthly Performance
Best Month % +45.57%+50.77%
Worst Month % -42.52%-49.03%
Monthly Win Rate % 23.1%44.4%
🔧 Technical Indicators
RSI (14-period) 34.2139.26
Price vs 50-Day MA % -16.02%-37.91%
Price vs 200-Day MA % -6.66%-44.88%

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 DUCK (DUCK): -0.084 (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
DUCK: Kraken