PYTH PYTH / ALEPH Crypto vs ATOM ATOM / USD 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 / ALEPHATOM / USD

📈 Performance Metrics

Start Price 2.465.32

End Price 1.992.95

Price Change % -19.22%-44.57%

Period High 3.2210.42

Period Low 1.312.51

Price Range % 145.3%315.9%

🏆 All-Time Records

All-Time High 3.2210.42

Days Since ATH 52 days319 days

Distance From ATH % -38.2%-71.7%

All-Time Low 1.312.51

Distance From ATL % +51.6%+17.6%

New ATHs Hit 14 times10 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.72%3.59%

Biggest Jump (1 Day) % +1.64+1.13

Biggest Drop (1 Day) % -1.12-1.72

Days Above Avg % 53.2%26.5%

Extreme Moves days 7 (2.1%)16 (4.7%)

Stability Score % 0.0%3.6%

Trend Strength % 49.3%51.0%

Recent Momentum (10-day) % -11.96%-28.69%

📊 Statistical Measures

Average Price 2.245.06

Median Price 2.274.60

Price Std Deviation 0.411.41

🚀 Returns & Growth

CAGR % -20.42%-46.63%

Annualized Return % -20.42%-46.63%

Total Return % -19.22%-44.57%

⚠️ Risk & Volatility

Daily Volatility % 8.43%4.88%

Annualized Volatility % 161.01%93.22%

Max Drawdown % -57.57%-75.95%

Sharpe Ratio 0.028-0.010

Sortino Ratio 0.037-0.010

Calmar Ratio -0.355-0.614

Ulcer Index 30.6952.54

📅 Daily Performance

Win Rate % 50.7%49.0%

Positive Days 173168

Negative Days 168175

Best Day % +104.36%+17.50%

Worst Day % -34.66%-27.46%

Avg Gain (Up Days) % +4.96%+3.47%

Avg Loss (Down Days) % -4.63%-3.43%

Profit Factor 1.100.97

🔥 Streaks & Patterns

Longest Win Streak days 67

Longest Loss Streak days 116

💹 Trading Metrics

Omega Ratio 1.1030.971

Expectancy % +0.23%-0.05%

Kelly Criterion % 1.02%0.00%

📅 Weekly Performance

Best Week % +60.52%+35.43%

Worst Week % -21.13%-28.03%

Weekly Win Rate % 53.8%55.8%

📆 Monthly Performance

Best Month % +88.18%+61.30%

Worst Month % -23.68%-30.67%

Monthly Win Rate % 46.2%30.8%

🔧 Technical Indicators

RSI (14-period) 41.8436.13

Price vs 50-Day MA % -7.65%-26.43%

Price vs 200-Day MA % -1.17%-32.15%

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 ATOM (ATOM):	0.538 (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
ATOM: Kraken