PYTH PYTH / USD Crypto vs JST JST / USD 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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Asset PYTH / USDJST / USD
📈 Performance Metrics
Start Price 0.470.03
End Price 0.060.04
Price Change % -87.11%+23.61%
Period High 0.490.04
Period Low 0.060.03
Price Range % 707.4%62.1%
🏆 All-Time Records
All-Time High 0.490.04
Days Since ATH 342 days14 days
Distance From ATH % -87.6%-11.2%
All-Time Low 0.060.03
Distance From ATL % +0.0%+43.9%
New ATHs Hit 1 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.61%2.22%
Biggest Jump (1 Day) % +0.11+0.01
Biggest Drop (1 Day) % -0.06-0.01
Days Above Avg % 30.5%46.0%
Extreme Moves days 6 (1.7%)11 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%52.1%
Recent Momentum (10-day) % -10.12%-3.95%
📊 Statistical Measures
Average Price 0.170.03
Median Price 0.140.03
Price Std Deviation 0.090.00
🚀 Returns & Growth
CAGR % -88.70%+38.80%
Annualized Return % -88.70%+38.80%
Total Return % -87.11%+23.61%
⚠️ Risk & Volatility
Daily Volatility % 7.94%3.61%
Annualized Volatility % 151.68%69.02%
Max Drawdown % -87.61%-33.70%
Sharpe Ratio -0.0420.042
Sortino Ratio -0.0540.047
Calmar Ratio -1.0121.151
Ulcer Index 68.2813.14
📅 Daily Performance
Win Rate % 46.8%52.6%
Positive Days 160123
Negative Days 182111
Best Day % +99.34%+23.97%
Worst Day % -32.57%-16.93%
Avg Gain (Up Days) % +4.61%+2.29%
Avg Loss (Down Days) % -4.68%-2.22%
Profit Factor 0.871.15
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.8661.147
Expectancy % -0.33%+0.15%
Kelly Criterion % 0.00%3.04%
📅 Weekly Performance
Best Week % +65.86%+25.36%
Worst Week % -27.08%-22.40%
Weekly Win Rate % 45.3%50.0%
📆 Monthly Performance
Best Month % +65.32%+22.80%
Worst Month % -32.91%-12.65%
Monthly Win Rate % 30.8%66.7%
🔧 Technical Indicators
RSI (14-period) 40.6729.78
Price vs 50-Day MA % -32.08%+3.54%
Price vs 200-Day MA % -50.26%+9.14%

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 JST (JST): -0.257 (Weak)

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
JST: Kraken