PYTH PYTH / REQ Crypto vs RESOLV RESOLV / REQ 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / REQRESOLV / REQ

📈 Performance Metrics

Start Price 4.062.34

End Price 0.710.89

Price Change % -82.38%-62.01%

Period High 4.062.34

Period Low 0.650.37

Price Range % 522.3%537.0%

🏆 All-Time Records

All-Time High 4.062.34

Days Since ATH 343 days148 days

Distance From ATH % -82.4%-62.0%

All-Time Low 0.650.37

Distance From ATL % +9.7%+142.0%

New ATHs Hit 0 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.01%6.16%

Biggest Jump (1 Day) % +0.78+0.48

Biggest Drop (1 Day) % -0.44-0.42

Days Above Avg % 29.1%47.7%

Extreme Moves days 4 (1.2%)10 (6.8%)

Stability Score % 0.0%0.0%

Trend Strength % 51.3%51.4%

Recent Momentum (10-day) % -9.39%+1.88%

📊 Statistical Measures

Average Price 1.531.14

Median Price 1.251.13

Price Std Deviation 0.880.30

🚀 Returns & Growth

CAGR % -84.23%-90.81%

Annualized Return % -84.23%-90.81%

Total Return % -82.38%-62.01%

⚠️ Risk & Volatility

Daily Volatility % 7.44%9.77%

Annualized Volatility % 142.16%186.62%

Max Drawdown % -83.93%-84.30%

Sharpe Ratio -0.037-0.015

Sortino Ratio -0.048-0.016

Calmar Ratio -1.004-1.077

Ulcer Index 65.9352.73

📅 Daily Performance

Win Rate % 48.5%48.3%

Positive Days 16671

Negative Days 17676

Best Day % +97.10%+42.92%

Worst Day % -29.25%-48.43%

Avg Gain (Up Days) % +4.10%+6.32%

Avg Loss (Down Days) % -4.41%-6.19%

Profit Factor 0.880.95

🔥 Streaks & Patterns

Longest Win Streak days 58

Longest Loss Streak days 67

💹 Trading Metrics

Omega Ratio 0.8780.953

Expectancy % -0.28%-0.15%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +67.55%+118.06%

Worst Week % -22.38%-30.69%

Weekly Win Rate % 46.2%30.4%

📆 Monthly Performance

Best Month % +76.00%+111.60%

Worst Month % -35.76%-52.18%

Monthly Win Rate % 23.1%16.7%

🔧 Technical Indicators

RSI (14-period) 39.4443.78

Price vs 50-Day MA % -26.73%-5.48%

Price vs 200-Day MA % -25.83%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 RESOLV (RESOLV):	-0.141 (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
RESOLV: Bybit