PYTH PYTH / OG Crypto vs RESOLV RESOLV / 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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🤖 AI Analysis

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Asset PYTH / OGRESOLV / USD

📈 Performance Metrics

Start Price 0.080.35

End Price 0.010.14

Price Change % -92.70%-61.49%

Period High 0.090.35

Period Low 0.010.04

Price Range % 1,447.1%685.5%

🏆 All-Time Records

All-Time High 0.090.35

Days Since ATH 312 days137 days

Distance From ATH % -93.5%-61.5%

All-Time Low 0.010.04

Distance From ATL % +0.0%+202.5%

New ATHs Hit 9 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.00%5.98%

Biggest Jump (1 Day) % +0.01+0.03

Biggest Drop (1 Day) % -0.01-0.07

Days Above Avg % 36.3%47.1%

Extreme Moves days 10 (2.9%)7 (5.1%)

Stability Score % 0.0%0.0%

Trend Strength % 51.3%50.4%

Recent Momentum (10-day) % -24.17%+58.33%

📊 Statistical Measures

Average Price 0.040.16

Median Price 0.030.15

Price Std Deviation 0.030.05

🚀 Returns & Growth

CAGR % -93.83%-92.13%

Annualized Return % -93.83%-92.13%

Total Return % -92.70%-61.49%

⚠️ Risk & Volatility

Daily Volatility % 8.65%9.03%

Annualized Volatility % 165.27%172.59%

Max Drawdown % -93.54%-87.27%

Sharpe Ratio -0.051-0.026

Sortino Ratio -0.062-0.025

Calmar Ratio -1.003-1.056

Ulcer Index 64.0857.22

📅 Daily Performance

Win Rate % 48.7%49.6%

Positive Days 16768

Negative Days 17669

Best Day % +101.76%+26.10%

Worst Day % -22.36%-51.80%

Avg Gain (Up Days) % +4.70%+5.88%

Avg Loss (Down Days) % -5.33%-6.26%

Profit Factor 0.840.92

🔥 Streaks & Patterns

Longest Win Streak days 78

Longest Loss Streak days 74

💹 Trading Metrics

Omega Ratio 0.8380.925

Expectancy % -0.44%-0.24%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +69.69%+139.82%

Worst Week % -50.33%-31.05%

Weekly Win Rate % 44.2%38.1%

📆 Monthly Performance

Best Month % +6.06%+160.00%

Worst Month % -38.69%-55.65%

Monthly Win Rate % 7.7%33.3%

🔧 Technical Indicators

RSI (14-period) 29.9379.65

Price vs 50-Day MA % -33.07%+14.39%

Price vs 200-Day MA % -71.47%N/A

💰 Volume Analysis

Avg Volume 294,03124,864,276

Total Volume 101,146,7163,431,270,107

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):	0.560 (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
RESOLV: Bybit