PYTH PYTH / BBSOL Crypto vs REQ REQ / 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 / BBSOLREQ / USD
📈 Performance Metrics
Start Price 0.000.09
End Price 0.000.13
Price Change % -70.70%+44.56%
Period High 0.000.16
Period Low 0.000.08
Price Range % 326.1%87.9%
🏆 All-Time Records
All-Time High 0.000.16
Days Since ATH 311 days149 days
Distance From ATH % -71.1%-18.3%
All-Time Low 0.000.08
Distance From ATL % +23.2%+53.5%
New ATHs Hit 1 times18 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.04%2.62%
Biggest Jump (1 Day) % +0.00+0.02
Biggest Drop (1 Day) % 0.00-0.03
Days Above Avg % 38.8%49.3%
Extreme Moves days 5 (1.5%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 56.4%55.3%
Recent Momentum (10-day) % -1.32%+2.95%
📊 Statistical Measures
Average Price 0.000.13
Median Price 0.000.13
Price Std Deviation 0.000.02
🚀 Returns & Growth
CAGR % -73.02%+48.19%
Annualized Return % -73.02%+48.19%
Total Return % -70.70%+44.56%
⚠️ Risk & Volatility
Daily Volatility % 6.21%3.90%
Annualized Volatility % 118.68%74.46%
Max Drawdown % -76.53%-44.78%
Sharpe Ratio -0.0330.047
Sortino Ratio -0.0530.044
Calmar Ratio -0.9541.076
Ulcer Index 55.6621.01
📅 Daily Performance
Win Rate % 43.6%56.3%
Positive Days 149189
Negative Days 193147
Best Day % +88.65%+17.98%
Worst Day % -16.15%-19.63%
Avg Gain (Up Days) % +3.26%+2.60%
Avg Loss (Down Days) % -2.88%-2.91%
Profit Factor 0.871.15
🔥 Streaks & Patterns
Longest Win Streak days 611
Longest Loss Streak days 96
💹 Trading Metrics
Omega Ratio 0.8731.148
Expectancy % -0.21%+0.19%
Kelly Criterion % 0.00%2.49%
📅 Weekly Performance
Best Week % +54.45%+21.51%
Worst Week % -26.28%-18.42%
Weekly Win Rate % 31.4%58.8%
📆 Monthly Performance
Best Month % +33.49%+40.24%
Worst Month % -34.74%-6.91%
Monthly Win Rate % 16.7%66.7%
🔧 Technical Indicators
RSI (14-period) 43.0871.40
Price vs 50-Day MA % -3.81%-0.10%
Price vs 200-Day MA % -14.59%-2.98%

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 REQ (REQ): -0.430 (Moderate negative)

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
REQ: Kraken
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