PYTH PYTH / USD Crypto vs CORECHAIN CORECHAIN / 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 / USDCORECHAIN / USD

📈 Performance Metrics

Start Price 0.361.13

End Price 0.060.13

Price Change % -83.12%-88.51%

Period High 0.401.25

Period Low 0.050.10

Price Range % 633.0%1,124.2%

🏆 All-Time Records

All-Time High 0.401.25

Days Since ATH 327 days326 days

Distance From ATH % -84.6%-89.6%

All-Time Low 0.050.10

Distance From ATL % +12.5%+27.8%

New ATHs Hit 3 times6 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.50%3.61%

Biggest Jump (1 Day) % +0.11+0.12

Biggest Drop (1 Day) % -0.05-0.16

Days Above Avg % 34.3%38.2%

Extreme Moves days 6 (1.7%)20 (5.8%)

Stability Score % 0.0%0.0%

Trend Strength % 52.8%52.3%

Recent Momentum (10-day) % -13.94%+14.73%

📊 Statistical Measures

Average Price 0.160.54

Median Price 0.140.51

Price Std Deviation 0.080.25

🚀 Returns & Growth

CAGR % -84.94%-90.06%

Annualized Return % -84.94%-90.06%

Total Return % -83.12%-88.51%

⚠️ Risk & Volatility

Daily Volatility % 7.91%5.49%

Annualized Volatility % 151.08%104.90%

Max Drawdown % -86.36%-91.83%

Sharpe Ratio -0.032-0.085

Sortino Ratio -0.042-0.078

Calmar Ratio -0.984-0.981

Ulcer Index 62.7859.84

📅 Daily Performance

Win Rate % 47.2%46.4%

Positive Days 162155

Negative Days 181179

Best Day % +99.34%+25.41%

Worst Day % -32.57%-41.12%

Avg Gain (Up Days) % +4.60%+3.63%

Avg Loss (Down Days) % -4.60%-4.04%

Profit Factor 0.890.78

🔥 Streaks & Patterns

Longest Win Streak days 75

Longest Loss Streak days 66

💹 Trading Metrics

Omega Ratio 0.8940.778

Expectancy % -0.26%-0.48%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+32.75%

Worst Week % -23.21%-23.43%

Weekly Win Rate % 48.1%50.0%

📆 Monthly Performance

Best Month % +65.32%+59.96%

Worst Month % -32.91%-42.36%

Monthly Win Rate % 30.8%30.8%

🔧 Technical Indicators

RSI (14-period) 41.8453.62

Price vs 50-Day MA % -22.20%-17.19%

Price vs 200-Day MA % -48.62%-70.66%

💰 Volume Analysis

Avg Volume 1,882,671652,348

Total Volume 647,638,852223,755,499

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 CORECHAIN (CORECHAIN):	0.780 (Strong 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
CORECHAIN: Coinbase