PYTH PYTH / ETHFI 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 / ETHFIJST / USD
📈 Performance Metrics
Start Price 0.260.03
End Price 0.110.03
Price Change % -58.11%+12.30%
Period High 0.320.04
Period Low 0.080.03
Price Range % 282.3%50.8%
🏆 All-Time Records
All-Time High 0.320.04
Days Since ATH 178 days167 days
Distance From ATH % -66.3%-13.3%
All-Time Low 0.080.03
Distance From ATL % +28.7%+30.7%
New ATHs Hit 9 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.60%2.29%
Biggest Jump (1 Day) % +0.09+0.01
Biggest Drop (1 Day) % -0.08-0.01
Days Above Avg % 52.3%46.7%
Extreme Moves days 9 (2.6%)9 (4.6%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%50.0%
Recent Momentum (10-day) % -1.19%+4.41%
📊 Statistical Measures
Average Price 0.170.03
Median Price 0.170.03
Price Std Deviation 0.060.00
🚀 Returns & Growth
CAGR % -60.38%+24.40%
Annualized Return % -60.38%+24.40%
Total Return % -58.11%+12.30%
⚠️ Risk & Volatility
Daily Volatility % 6.90%3.80%
Annualized Volatility % 131.82%72.68%
Max Drawdown % -73.84%-33.70%
Sharpe Ratio -0.0070.034
Sortino Ratio -0.0090.039
Calmar Ratio -0.8180.724
Ulcer Index 48.7113.80
📅 Daily Performance
Win Rate % 49.3%50.5%
Positive Days 16997
Negative Days 17495
Best Day % +88.15%+23.97%
Worst Day % -32.27%-16.93%
Avg Gain (Up Days) % +3.61%+2.44%
Avg Loss (Down Days) % -3.60%-2.22%
Profit Factor 0.971.12
🔥 Streaks & Patterns
Longest Win Streak days 84
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 0.9731.119
Expectancy % -0.05%+0.13%
Kelly Criterion % 0.00%2.42%
📅 Weekly Performance
Best Week % +69.69%+25.36%
Worst Week % -35.40%-22.40%
Weekly Win Rate % 54.7%50.0%
📆 Monthly Performance
Best Month % +46.01%+20.72%
Worst Month % -59.22%-12.65%
Monthly Win Rate % 46.2%75.0%
🔧 Technical Indicators
RSI (14-period) 62.4663.62
Price vs 50-Day MA % -6.53%+3.15%
Price vs 200-Day MA % -24.50%N/A

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): -0.266 (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
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