PYTH PYTH / PYTH Crypto vs SYS SYS / PYTH 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 / PYTHSYS / PYTH
📈 Performance Metrics
Start Price 1.000.35
End Price 1.000.31
Price Change % +0.00%-12.48%
Period High 1.000.41
Period Low 1.000.19
Price Range % 0.0%120.9%
🏆 All-Time Records
All-Time High 1.000.41
Days Since ATH 343 days182 days
Distance From ATH % +0.0%-25.8%
All-Time Low 1.000.19
Distance From ATL % +0.0%+63.9%
New ATHs Hit 0 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 0.00%2.60%
Biggest Jump (1 Day) % +0.00+0.05
Biggest Drop (1 Day) % 0.00-0.18
Days Above Avg % 0.0%51.5%
Extreme Moves days 0 (0.0%)12 (3.5%)
Stability Score % 100.0%0.0%
Trend Strength % 0.0%46.1%
Recent Momentum (10-day) % +0.00%+1.95%
📊 Statistical Measures
Average Price 1.000.31
Median Price 1.000.32
Price Std Deviation 0.000.04
🚀 Returns & Growth
CAGR % +0.00%-13.23%
Annualized Return % +0.00%-13.23%
Total Return % +0.00%-12.48%
⚠️ Risk & Volatility
Daily Volatility % 0.00%4.49%
Annualized Volatility % 0.00%85.75%
Max Drawdown % -0.00%-54.73%
Sharpe Ratio 0.0000.018
Sortino Ratio 0.0000.015
Calmar Ratio 0.000-0.242
Ulcer Index 0.0022.94
📅 Daily Performance
Win Rate % 0.0%53.9%
Positive Days 0185
Negative Days 0158
Best Day % +0.00%+16.84%
Worst Day % 0.00%-48.88%
Avg Gain (Up Days) % +0.00%+2.49%
Avg Loss (Down Days) % -0.00%-2.75%
Profit Factor 0.001.06
🔥 Streaks & Patterns
Longest Win Streak days 07
Longest Loss Streak days 06
💹 Trading Metrics
Omega Ratio 0.0001.063
Expectancy % +0.00%+0.08%
Kelly Criterion % 0.00%1.17%
📅 Weekly Performance
Best Week % +0.00%+17.98%
Worst Week % 0.00%-40.44%
Weekly Win Rate % 0.0%44.2%
📆 Monthly Performance
Best Month % +0.00%+21.83%
Worst Month % 0.00%-40.47%
Monthly Win Rate % 0.0%53.8%
🔧 Technical Indicators
RSI (14-period) 100.0067.70
Price vs 50-Day MA % +0.00%+9.44%
Price vs 200-Day MA % +0.00%-2.88%

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 SYS (SYS): 0.000 (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
SYS: Binance