SYS SYS / PYTH Crypto vs AFC AFC / PYTH 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 SYS / PYTHAFC / PYTH
📈 Performance Metrics
Start Price 0.352.04
End Price 0.315.88
Price Change % -12.48%+188.65%
Period High 0.415.96
Period Low 0.191.77
Price Range % 120.9%236.5%
🏆 All-Time Records
All-Time High 0.415.96
Days Since ATH 182 days11 days
Distance From ATH % -25.8%-1.3%
All-Time Low 0.191.77
Distance From ATL % +63.9%+232.1%
New ATHs Hit 8 times33 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.60%4.52%
Biggest Jump (1 Day) % +0.05+1.40
Biggest Drop (1 Day) % -0.18-1.75
Days Above Avg % 51.5%51.5%
Extreme Moves days 12 (3.5%)8 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 46.1%52.8%
Recent Momentum (10-day) % +1.95%+2.96%
📊 Statistical Measures
Average Price 0.313.23
Median Price 0.323.24
Price Std Deviation 0.040.85
🚀 Returns & Growth
CAGR % -13.23%+208.96%
Annualized Return % -13.23%+208.96%
Total Return % -12.48%+188.65%
⚠️ Risk & Volatility
Daily Volatility % 4.49%7.13%
Annualized Volatility % 85.75%136.21%
Max Drawdown % -54.73%-64.90%
Sharpe Ratio 0.0180.079
Sortino Ratio 0.0150.087
Calmar Ratio -0.2423.220
Ulcer Index 22.9429.14
📅 Daily Performance
Win Rate % 53.9%52.8%
Positive Days 185181
Negative Days 158162
Best Day % +16.84%+60.20%
Worst Day % -48.88%-49.76%
Avg Gain (Up Days) % +2.49%+4.81%
Avg Loss (Down Days) % -2.75%-4.18%
Profit Factor 1.061.29
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.0631.287
Expectancy % +0.08%+0.57%
Kelly Criterion % 1.17%2.81%
📅 Weekly Performance
Best Week % +17.98%+27.79%
Worst Week % -40.44%-41.44%
Weekly Win Rate % 44.2%48.1%
📆 Monthly Performance
Best Month % +21.83%+49.85%
Worst Month % -40.47%-39.12%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 67.7054.48
Price vs 50-Day MA % +9.44%+33.74%
Price vs 200-Day MA % -2.88%+71.85%
💰 Volume Analysis
Avg Volume 140,597,280922,160
Total Volume 48,365,464,239317,223,172

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).

SYS (SYS) vs AFC (AFC): 0.167 (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

SYS: Binance
AFC: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures