ATOM ATOM / MOG Crypto vs PYTH PYTH / MOG 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 ATOM / MOGPYTH / MOG

📈 Performance Metrics

Start Price 2,967,167.10154,722.58

End Price 8,524,001.61246,510.69

Price Change % +187.28%+59.32%

Period High 16,085,507.25418,913.04

Period Low 2,457,697.3562,758.98

Price Range % 554.5%567.5%

🏆 All-Time Records

All-Time High 16,085,507.25418,913.04

Days Since ATH 231 days231 days

Distance From ATH % -47.0%-41.2%

All-Time Low 2,457,697.3562,758.98

Distance From ATL % +246.8%+292.8%

New ATHs Hit 43 times26 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.00%4.62%

Biggest Jump (1 Day) % +2,286,369.32+123,936.39

Biggest Drop (1 Day) % -3,346,977.83-64,854.22

Days Above Avg % 38.7%48.0%

Extreme Moves days 17 (5.0%)7 (2.0%)

Stability Score % 100.0%100.0%

Trend Strength % 57.4%54.8%

Recent Momentum (10-day) % +0.13%-2.53%

📊 Statistical Measures

Average Price 5,785,261.49201,312.05

Median Price 5,081,350.46194,742.91

Price Std Deviation 2,405,425.7681,762.55

🚀 Returns & Growth

CAGR % +207.40%+64.16%

Annualized Return % +207.40%+64.16%

Total Return % +187.28%+59.32%

⚠️ Risk & Volatility

Daily Volatility % 6.23%8.23%

Annualized Volatility % 119.03%157.25%

Max Drawdown % -84.72%-85.02%

Sharpe Ratio 0.0810.050

Sortino Ratio 0.0770.065

Calmar Ratio 2.4480.755

Ulcer Index 54.5249.85

📅 Daily Performance

Win Rate % 57.4%54.8%

Positive Days 197188

Negative Days 146155

Best Day % +26.43%+103.46%

Worst Day % -20.81%-18.14%

Avg Gain (Up Days) % +4.61%+4.67%

Avg Loss (Down Days) % -5.03%-4.75%

Profit Factor 1.241.19

🔥 Streaks & Patterns

Longest Win Streak days 910

Longest Loss Streak days 66

💹 Trading Metrics

Omega Ratio 1.2351.193

Expectancy % +0.50%+0.41%

Kelly Criterion % 2.17%1.86%

📅 Weekly Performance

Best Week % +46.31%+90.32%

Worst Week % -41.37%-36.88%

Weekly Win Rate % 62.3%62.3%

📆 Monthly Performance

Best Month % +60.90%+146.78%

Worst Month % -33.84%-47.36%

Monthly Win Rate % 61.5%53.8%

🔧 Technical Indicators

RSI (14-period) 54.9349.50

Price vs 50-Day MA % +11.39%-0.27%

Price vs 200-Day MA % +64.95%+53.36%

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).

ATOM (ATOM) vs PYTH (PYTH):	0.874 (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

ATOM: Kraken
PYTH: Kraken