PYTH PYTH / ATOM Crypto vs PYTH PYTH / ATOM 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 / ATOMPYTH / ATOM
📈 Performance Metrics
Start Price 0.080.08
End Price 0.040.04
Price Change % -54.25%-54.25%
Period High 0.090.09
Period Low 0.020.02
Price Range % 286.9%286.9%
🏆 All-Time Records
All-Time High 0.090.09
Days Since ATH 338 days338 days
Distance From ATH % -57.7%-57.7%
All-Time Low 0.020.02
Distance From ATL % +63.7%+63.7%
New ATHs Hit 3 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.05%3.05%
Biggest Jump (1 Day) % +0.02+0.02
Biggest Drop (1 Day) % -0.01-0.01
Days Above Avg % 37.5%37.5%
Extreme Moves days 5 (1.5%)5 (1.5%)
Stability Score % 0.0%0.0%
Trend Strength % 55.1%55.1%
Recent Momentum (10-day) % +3.73%+3.73%
📊 Statistical Measures
Average Price 0.040.04
Median Price 0.040.04
Price Std Deviation 0.010.01
🚀 Returns & Growth
CAGR % -56.49%-56.49%
Annualized Return % -56.49%-56.49%
Total Return % -54.25%-54.25%
⚠️ Risk & Volatility
Daily Volatility % 6.07%6.07%
Annualized Volatility % 115.97%115.97%
Max Drawdown % -74.15%-74.15%
Sharpe Ratio -0.014-0.014
Sortino Ratio -0.022-0.022
Calmar Ratio -0.762-0.762
Ulcer Index 57.6757.67
📅 Daily Performance
Win Rate % 44.9%44.9%
Positive Days 154154
Negative Days 189189
Best Day % +87.33%+87.33%
Worst Day % -15.46%-15.46%
Avg Gain (Up Days) % +3.26%+3.26%
Avg Loss (Down Days) % -2.80%-2.80%
Profit Factor 0.950.95
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 99
💹 Trading Metrics
Omega Ratio 0.9460.946
Expectancy % -0.08%-0.08%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +64.02%+64.02%
Worst Week % -22.56%-22.56%
Weekly Win Rate % 50.0%50.0%
📆 Monthly Performance
Best Month % +53.38%+53.38%
Worst Month % -29.65%-29.65%
Monthly Win Rate % 53.8%53.8%
🔧 Technical Indicators
RSI (14-period) 58.5058.50
Price vs 50-Day MA % +2.00%+2.00%
Price vs 200-Day MA % +22.27%+22.27%
💰 Volume Analysis
Avg Volume 395,779395,779
Total Volume 136,148,075136,148,075

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 PYTH (PYTH): 1.000 (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
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures