FTT FTT / MBX Crypto vs ZIG ZIG / MBX 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 FTT / MBXZIG / MBX
📈 Performance Metrics
Start Price 8.130.61
End Price 6.980.84
Price Change % -14.19%+37.66%
Period High 11.200.98
Period Low 3.890.57
Price Range % 187.7%72.0%
🏆 All-Time Records
All-Time High 11.200.98
Days Since ATH 335 days5 days
Distance From ATH % -37.7%-14.5%
All-Time Low 3.890.57
Distance From ATL % +79.3%+47.1%
New ATHs Hit 4 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.71%4.06%
Biggest Jump (1 Day) % +2.28+0.13
Biggest Drop (1 Day) % -1.57-0.10
Days Above Avg % 43.8%50.0%
Extreme Moves days 17 (4.9%)7 (7.9%)
Stability Score % 10.4%0.0%
Trend Strength % 52.0%50.6%
Recent Momentum (10-day) % -8.30%+9.44%
📊 Statistical Measures
Average Price 6.150.73
Median Price 5.880.73
Price Std Deviation 1.360.11
🚀 Returns & Growth
CAGR % -14.99%+270.90%
Annualized Return % -14.99%+270.90%
Total Return % -14.19%+37.66%
⚠️ Risk & Volatility
Daily Volatility % 5.50%5.69%
Annualized Volatility % 105.14%108.76%
Max Drawdown % -65.24%-32.43%
Sharpe Ratio 0.0180.091
Sortino Ratio 0.0220.118
Calmar Ratio -0.2308.354
Ulcer Index 46.6914.39
📅 Daily Performance
Win Rate % 48.0%50.6%
Positive Days 16545
Negative Days 17944
Best Day % +33.50%+18.89%
Worst Day % -15.37%-11.79%
Avg Gain (Up Days) % +3.87%+4.41%
Avg Loss (Down Days) % -3.37%-3.47%
Profit Factor 1.061.30
🔥 Streaks & Patterns
Longest Win Streak days 84
Longest Loss Streak days 104
💹 Trading Metrics
Omega Ratio 1.0571.301
Expectancy % +0.10%+0.52%
Kelly Criterion % 0.76%3.37%
📅 Weekly Performance
Best Week % +29.56%+21.98%
Worst Week % -20.57%-11.63%
Weekly Win Rate % 51.9%46.7%
📆 Monthly Performance
Best Month % +36.79%+27.74%
Worst Month % -44.51%-20.81%
Monthly Win Rate % 53.8%75.0%
🔧 Technical Indicators
RSI (14-period) 34.6855.44
Price vs 50-Day MA % -6.81%+9.13%
Price vs 200-Day MA % +19.48%N/A
💰 Volume Analysis
Avg Volume 1,189,30410,653,181
Total Volume 410,309,754958,786,315

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).

FTT (FTT) vs ZIG (ZIG): 0.666 (Moderate 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

FTT: Bybit
ZIG: Kraken