PYTH PYTH / ACM Crypto vs JUV JUV / 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 / ACMJUV / USD
📈 Performance Metrics
Start Price 0.231.56
End Price 0.170.83
Price Change % -24.81%-46.77%
Period High 0.292.07
Period Low 0.110.83
Price Range % 172.3%149.6%
🏆 All-Time Records
All-Time High 0.292.07
Days Since ATH 315 days241 days
Distance From ATH % -39.4%-59.9%
All-Time Low 0.110.83
Distance From ATL % +65.1%+0.0%
New ATHs Hit 9 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.43%2.91%
Biggest Jump (1 Day) % +0.12+1.01
Biggest Drop (1 Day) % -0.05-0.40
Days Above Avg % 43.3%35.4%
Extreme Moves days 5 (1.5%)4 (1.2%)
Stability Score % 0.0%0.0%
Trend Strength % 52.5%50.3%
Recent Momentum (10-day) % +1.70%-7.03%
📊 Statistical Measures
Average Price 0.181.25
Median Price 0.181.14
Price Std Deviation 0.040.28
🚀 Returns & Growth
CAGR % -26.17%-48.78%
Annualized Return % -26.17%-48.78%
Total Return % -24.81%-46.77%
⚠️ Risk & Volatility
Daily Volatility % 6.99%6.77%
Annualized Volatility % 133.57%129.33%
Max Drawdown % -63.27%-59.93%
Sharpe Ratio 0.016-0.001
Sortino Ratio 0.024-0.001
Calmar Ratio -0.414-0.814
Ulcer Index 39.1841.42
📅 Daily Performance
Win Rate % 47.5%49.6%
Positive Days 163170
Negative Days 180173
Best Day % +96.26%+95.46%
Worst Day % -24.42%-25.18%
Avg Gain (Up Days) % +3.94%+2.88%
Avg Loss (Down Days) % -3.35%-2.84%
Profit Factor 1.061.00
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0640.996
Expectancy % +0.11%-0.01%
Kelly Criterion % 0.85%0.00%
📅 Weekly Performance
Best Week % +70.10%+53.69%
Worst Week % -20.55%-19.87%
Weekly Win Rate % 50.9%50.9%
📆 Monthly Performance
Best Month % +58.98%+16.14%
Worst Month % -24.69%-22.20%
Monthly Win Rate % 30.8%38.5%
🔧 Technical Indicators
RSI (14-period) 46.8023.67
Price vs 50-Day MA % -2.14%-25.24%
Price vs 200-Day MA % +12.02%-23.60%
💰 Volume Analysis
Avg Volume 1,892,78098,773
Total Volume 651,116,16634,076,810

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 JUV (JUV): 0.737 (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
JUV: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures