SYS SYS / MDAO Crypto vs PYTH PYTH / MDAO Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset SYS / MDAOPYTH / MDAO
📈 Performance Metrics
Start Price 2.567.30
End Price 3.9112.89
Price Change % +52.51%+76.54%
Period High 3.9313.14
Period Low 0.772.88
Price Range % 410.4%356.3%
🏆 All-Time Records
All-Time High 3.9313.14
Days Since ATH 1 days1 days
Distance From ATH % -0.4%-2.0%
All-Time Low 0.772.88
Distance From ATL % +408.2%+347.4%
New ATHs Hit 5 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.67%5.96%
Biggest Jump (1 Day) % +0.99+3.03
Biggest Drop (1 Day) % -1.84-6.09
Days Above Avg % 52.3%45.8%
Extreme Moves days 14 (4.3%)13 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.7%53.4%
Recent Momentum (10-day) % +14.47%+10.28%
📊 Statistical Measures
Average Price 1.665.32
Median Price 1.675.13
Price Std Deviation 0.461.47
🚀 Returns & Growth
CAGR % +61.35%+90.46%
Annualized Return % +61.35%+90.46%
Total Return % +52.51%+76.54%
⚠️ Risk & Volatility
Daily Volatility % 8.66%8.81%
Annualized Volatility % 165.45%168.39%
Max Drawdown % -70.07%-64.03%
Sharpe Ratio 0.0580.064
Sortino Ratio 0.0620.070
Calmar Ratio 0.8761.413
Ulcer Index 40.0138.24
📅 Daily Performance
Win Rate % 53.7%53.4%
Positive Days 173172
Negative Days 149150
Best Day % +56.41%+58.79%
Worst Day % -49.02%-47.91%
Avg Gain (Up Days) % +5.55%+5.84%
Avg Loss (Down Days) % -5.36%-5.49%
Profit Factor 1.201.22
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 68
💹 Trading Metrics
Omega Ratio 1.2041.220
Expectancy % +0.51%+0.56%
Kelly Criterion % 1.70%1.75%
📅 Weekly Performance
Best Week % +58.39%+56.09%
Worst Week % -26.76%-21.65%
Weekly Win Rate % 57.1%59.2%
📆 Monthly Performance
Best Month % +113.35%+83.05%
Worst Month % -35.27%-28.11%
Monthly Win Rate % 41.7%50.0%
🔧 Technical Indicators
RSI (14-period) 61.7960.43
Price vs 50-Day MA % +137.27%+107.65%
Price vs 200-Day MA % +144.04%+151.94%

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 PYTH (PYTH): 0.887 (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

SYS: Binance
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures