SYS SYS / TREE Crypto vs GSWIFT GSWIFT / TREE 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 / TREEGSWIFT / TREE
📈 Performance Metrics
Start Price 0.070.01
End Price 0.170.01
Price Change % +150.50%-6.94%
Period High 0.200.02
Period Low 0.070.01
Price Range % 201.3%107.2%
🏆 All-Time Records
All-Time High 0.200.02
Days Since ATH 25 days52 days
Distance From ATH % -16.9%-51.7%
All-Time Low 0.070.01
Distance From ATL % +150.5%+0.0%
New ATHs Hit 23 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.55%5.27%
Biggest Jump (1 Day) % +0.03+0.00
Biggest Drop (1 Day) % -0.030.00
Days Above Avg % 42.9%58.8%
Extreme Moves days 5 (4.8%)5 (6.3%)
Stability Score % 0.0%0.0%
Trend Strength % 60.6%53.2%
Recent Momentum (10-day) % -8.36%-18.06%
📊 Statistical Measures
Average Price 0.140.02
Median Price 0.130.02
Price Std Deviation 0.030.00
🚀 Returns & Growth
CAGR % +2,409.98%-28.26%
Annualized Return % +2,409.98%-28.26%
Total Return % +150.50%-6.94%
⚠️ Risk & Volatility
Daily Volatility % 5.45%7.03%
Annualized Volatility % 104.15%134.40%
Max Drawdown % -23.87%-51.73%
Sharpe Ratio 0.1900.022
Sortino Ratio 0.1980.024
Calmar Ratio 100.945-0.546
Ulcer Index 11.1718.69
📅 Daily Performance
Win Rate % 60.6%46.8%
Positive Days 6337
Negative Days 4142
Best Day % +25.30%+22.57%
Worst Day % -20.11%-20.27%
Avg Gain (Up Days) % +3.93%+5.89%
Avg Loss (Down Days) % -3.41%-4.89%
Profit Factor 1.771.06
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 1.7681.061
Expectancy % +1.03%+0.16%
Kelly Criterion % 7.71%0.55%
📅 Weekly Performance
Best Week % +34.44%+38.72%
Worst Week % -14.74%-23.55%
Weekly Win Rate % 58.8%53.8%
📆 Monthly Performance
Best Month % +45.64%+34.14%
Worst Month % -4.89%-31.80%
Monthly Win Rate % 83.3%60.0%
🔧 Technical Indicators
RSI (14-period) 41.8422.64
Price vs 50-Day MA % +5.22%-38.42%
💰 Volume Analysis
Avg Volume 80,378,85921,365,953
Total Volume 8,439,780,2021,709,276,243

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 GSWIFT (GSWIFT): -0.059 (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
GSWIFT: Bybit