PYTH PYTH / BNC 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / BNCATOM / USD
📈 Performance Metrics
Start Price 2.164.53
End Price 1.052.65
Price Change % -51.42%-41.53%
Period High 2.2010.42
Period Low 0.732.51
Price Range % 202.1%315.9%
🏆 All-Time Records
All-Time High 2.2010.42
Days Since ATH 341 days314 days
Distance From ATH % -52.3%-74.6%
All-Time Low 0.732.51
Distance From ATL % +44.1%+5.7%
New ATHs Hit 2 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.90%3.60%
Biggest Jump (1 Day) % +1.11+1.13
Biggest Drop (1 Day) % -0.52-1.72
Days Above Avg % 40.7%26.7%
Extreme Moves days 4 (1.2%)16 (4.7%)
Stability Score % 0.0%4.5%
Trend Strength % 51.9%50.7%
Recent Momentum (10-day) % -21.57%-24.68%
📊 Statistical Measures
Average Price 1.255.09
Median Price 1.154.62
Price Std Deviation 0.331.39
🚀 Returns & Growth
CAGR % -53.62%-43.51%
Annualized Return % -53.62%-43.51%
Total Return % -51.42%-41.53%
⚠️ Risk & Volatility
Daily Volatility % 7.50%4.86%
Annualized Volatility % 143.20%92.84%
Max Drawdown % -66.90%-75.95%
Sharpe Ratio 0.002-0.007
Sortino Ratio 0.003-0.007
Calmar Ratio -0.801-0.573
Ulcer Index 45.6551.85
📅 Daily Performance
Win Rate % 48.1%49.1%
Positive Days 165168
Negative Days 178174
Best Day % +102.96%+17.50%
Worst Day % -32.37%-27.46%
Avg Gain (Up Days) % +4.04%+3.48%
Avg Loss (Down Days) % -3.71%-3.43%
Profit Factor 1.010.98
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0080.980
Expectancy % +0.01%-0.04%
Kelly Criterion % 0.10%0.00%
📅 Weekly Performance
Best Week % +76.91%+35.43%
Worst Week % -26.42%-28.03%
Weekly Win Rate % 40.4%57.7%
📆 Monthly Performance
Best Month % +81.59%+89.30%
Worst Month % -22.89%-30.67%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 28.4520.12
Price vs 50-Day MA % -32.33%-36.19%
Price vs 200-Day MA % -7.50%-39.52%

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): 0.519 (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