PYTH PYTH / WEMIX Crypto vs SHELL SHELL / WEMIX 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 / WEMIXSHELL / WEMIX

📈 Performance Metrics

Start Price 0.450.86

End Price 0.180.20

Price Change % -59.25%-76.38%

Period High 0.570.87

Period Low 0.120.15

Price Range % 380.8%495.2%

🏆 All-Time Records

All-Time High 0.570.87

Days Since ATH 133 days133 days

Distance From ATH % -68.1%-76.6%

All-Time Low 0.120.15

Distance From ATL % +53.2%+39.1%

New ATHs Hit 6 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.26%6.86%

Biggest Jump (1 Day) % +0.17+0.14

Biggest Drop (1 Day) % -0.20-0.32

Days Above Avg % 44.5%41.7%

Extreme Moves days 9 (2.6%)8 (3.5%)

Stability Score % 0.0%0.0%

Trend Strength % 51.3%50.7%

Recent Momentum (10-day) % +1.34%+7.98%

📊 Statistical Measures

Average Price 0.300.34

Median Price 0.280.29

Price Std Deviation 0.110.19

🚀 Returns & Growth

CAGR % -61.53%-90.18%

Annualized Return % -61.53%-90.18%

Total Return % -59.25%-76.38%

⚠️ Risk & Volatility

Daily Volatility % 9.81%8.78%

Annualized Volatility % 187.40%167.77%

Max Drawdown % -79.20%-83.20%

Sharpe Ratio 0.014-0.027

Sortino Ratio 0.019-0.027

Calmar Ratio -0.777-1.084

Ulcer Index 49.4964.10

📅 Daily Performance

Win Rate % 48.7%49.3%

Positive Days 167112

Negative Days 176115

Best Day % +112.66%+44.80%

Worst Day % -35.37%-36.90%

Avg Gain (Up Days) % +5.71%+6.12%

Avg Loss (Down Days) % -5.15%-6.43%

Profit Factor 1.050.93

🔥 Streaks & Patterns

Longest Win Streak days 66

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 1.0530.927

Expectancy % +0.14%-0.24%

Kelly Criterion % 0.47%0.00%

📅 Weekly Performance

Best Week % +69.90%+55.00%

Worst Week % -31.91%-49.40%

Weekly Win Rate % 49.1%51.4%

📆 Monthly Performance

Best Month % +151.33%+152.68%

Worst Month % -51.61%-54.60%

Monthly Win Rate % 30.8%40.0%

🔧 Technical Indicators

RSI (14-period) 39.3270.23

Price vs 50-Day MA % -17.11%+15.70%

Price vs 200-Day MA % -26.25%-33.46%

💰 Volume Analysis

Avg Volume 3,023,04154,565,092

Total Volume 1,039,926,02212,440,840,948

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 SHELL (SHELL):	0.861 (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
SHELL: Binance