SYS SYS / G Crypto vs MAT MAT / USD 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset SYS / GMAT / USD

📈 Performance Metrics

Start Price 3.571.78

End Price 3.930.13

Price Change % +9.95%-92.73%

Period High 4.832.01

Period Low 2.330.13

Price Range % 107.4%1,456.9%

🏆 All-Time Records

All-Time High 4.832.01

Days Since ATH 45 days104 days

Distance From ATH % -18.7%-93.6%

All-Time Low 2.330.13

Distance From ATL % +68.6%+0.0%

New ATHs Hit 13 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 2.58%11.75%

Biggest Jump (1 Day) % +0.52+0.69

Biggest Drop (1 Day) % -0.76-0.64

Days Above Avg % 52.8%35.3%

Extreme Moves days 15 (4.7%)12 (7.1%)

Stability Score % 0.0%0.0%

Trend Strength % 47.9%64.5%

Recent Momentum (10-day) % +5.78%-8.22%

📊 Statistical Measures

Average Price 3.430.53

Median Price 3.450.36

Price Std Deviation 0.480.37

🚀 Returns & Growth

CAGR % +11.54%-99.65%

Annualized Return % +11.54%-99.65%

Total Return % +9.95%-92.73%

⚠️ Risk & Volatility

Daily Volatility % 3.58%15.50%

Annualized Volatility % 68.40%296.19%

Max Drawdown % -38.92%-93.58%

Sharpe Ratio 0.026-0.033

Sortino Ratio 0.028-0.050

Calmar Ratio 0.297-1.065

Ulcer Index 17.1275.07

📅 Daily Performance

Win Rate % 47.9%33.5%

Positive Days 15255

Negative Days 165109

Best Day % +16.02%+89.68%

Worst Day % -19.07%-34.67%

Avg Gain (Up Days) % +2.82%+13.35%

Avg Loss (Down Days) % -2.42%-7.53%

Profit Factor 1.070.89

🔥 Streaks & Patterns

Longest Win Streak days 54

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 1.0750.894

Expectancy % +0.09%-0.53%

Kelly Criterion % 1.38%0.00%

📅 Weekly Performance

Best Week % +22.15%+169.48%

Worst Week % -19.36%-57.12%

Weekly Win Rate % 51.1%23.1%

📆 Monthly Performance

Best Month % +22.15%+336.11%

Worst Month % -17.85%-72.65%

Monthly Win Rate % 25.0%14.3%

🔧 Technical Indicators

RSI (14-period) 62.8216.08

Price vs 50-Day MA % -5.12%-37.21%

Price vs 200-Day MA % +9.23%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).

SYS (SYS) vs MAT (MAT):	-0.338 (Moderate negative)

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
MAT: Kraken