PYTH PYTH / FORTH Crypto vs Q Q / USD 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 PYTH / FORTHQ / USD
📈 Performance Metrics
Start Price 0.120.01
End Price 0.040.01
Price Change % -63.47%+5.00%
Period High 0.120.05
Period Low 0.040.01
Price Range % 217.4%452.4%
🏆 All-Time Records
All-Time High 0.120.05
Days Since ATH 343 days34 days
Distance From ATH % -63.5%-78.6%
All-Time Low 0.040.01
Distance From ATL % +16.0%+18.5%
New ATHs Hit 0 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.08%10.35%
Biggest Jump (1 Day) % +0.04+0.01
Biggest Drop (1 Day) % -0.02-0.02
Days Above Avg % 47.7%45.7%
Extreme Moves days 9 (2.6%)4 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%46.4%
Recent Momentum (10-day) % -1.63%-22.93%
📊 Statistical Measures
Average Price 0.060.02
Median Price 0.050.02
Price Std Deviation 0.010.01
🚀 Returns & Growth
CAGR % -65.75%+29.41%
Annualized Return % -65.75%+29.41%
Total Return % -63.47%+5.00%
⚠️ Risk & Volatility
Daily Volatility % 8.02%16.77%
Annualized Volatility % 153.28%320.48%
Max Drawdown % -68.50%-78.55%
Sharpe Ratio -0.0020.079
Sortino Ratio -0.0030.109
Calmar Ratio -0.9600.374
Ulcer Index 53.2746.90
📅 Daily Performance
Win Rate % 45.5%47.1%
Positive Days 15632
Negative Days 18736
Best Day % +101.56%+87.44%
Worst Day % -35.54%-47.09%
Avg Gain (Up Days) % +4.48%+12.49%
Avg Loss (Down Days) % -3.77%-8.58%
Profit Factor 0.991.29
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 0.9911.294
Expectancy % -0.02%+1.34%
Kelly Criterion % 0.00%1.25%
📅 Weekly Performance
Best Week % +67.10%+28.25%
Worst Week % -33.96%-44.58%
Weekly Win Rate % 46.2%41.7%
📆 Monthly Performance
Best Month % +45.57%+247.32%
Worst Month % -39.25%-54.01%
Monthly Win Rate % 23.1%25.0%
🔧 Technical Indicators
RSI (14-period) 44.4416.73
Price vs 50-Day MA % -14.62%-52.93%
Price vs 200-Day MA % -14.71%N/A

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 Q (Q): 0.546 (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

PYTH: Kraken
Q: Kraken