ACM ACM / FTT Crypto vs DMAIL DMAIL / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset ACM / FTTDMAIL / USD
📈 Performance Metrics
Start Price 0.790.27
End Price 0.780.02
Price Change % -1.87%-93.72%
Period High 1.270.37
Period Low 0.400.02
Price Range % 219.0%2,075.0%
🏆 All-Time Records
All-Time High 1.270.37
Days Since ATH 66 days320 days
Distance From ATH % -38.8%-95.4%
All-Time Low 0.400.02
Distance From ATL % +95.4%+0.0%
New ATHs Hit 15 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.55%4.86%
Biggest Jump (1 Day) % +0.17+0.06
Biggest Drop (1 Day) % -0.25-0.04
Days Above Avg % 49.1%36.8%
Extreme Moves days 22 (6.4%)23 (6.7%)
Stability Score % 0.0%0.0%
Trend Strength % 47.8%55.8%
Recent Momentum (10-day) % -19.29%-38.82%
📊 Statistical Measures
Average Price 0.810.12
Median Price 0.810.10
Price Std Deviation 0.190.08
🚀 Returns & Growth
CAGR % -1.99%-94.69%
Annualized Return % -1.99%-94.69%
Total Return % -1.87%-93.72%
⚠️ Risk & Volatility
Daily Volatility % 5.54%7.19%
Annualized Volatility % 105.84%137.35%
Max Drawdown % -54.34%-95.40%
Sharpe Ratio 0.027-0.076
Sortino Ratio 0.027-0.082
Calmar Ratio -0.037-0.993
Ulcer Index 22.9570.93
📅 Daily Performance
Win Rate % 52.2%43.4%
Positive Days 179147
Negative Days 164192
Best Day % +23.23%+40.97%
Worst Day % -25.49%-25.64%
Avg Gain (Up Days) % +3.70%+4.87%
Avg Loss (Down Days) % -3.72%-4.71%
Profit Factor 1.080.79
🔥 Streaks & Patterns
Longest Win Streak days 98
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 1.0850.792
Expectancy % +0.15%-0.56%
Kelly Criterion % 1.10%0.00%
📅 Weekly Performance
Best Week % +31.84%+50.64%
Worst Week % -18.12%-29.45%
Weekly Win Rate % 48.1%40.4%
📆 Monthly Performance
Best Month % +40.19%+65.93%
Worst Month % -42.49%-50.21%
Monthly Win Rate % 69.2%30.8%
🔧 Technical Indicators
RSI (14-period) 34.4811.52
Price vs 50-Day MA % -19.70%-42.97%
Price vs 200-Day MA % -17.01%-75.55%
💰 Volume Analysis
Avg Volume 1,345,6173,418,720
Total Volume 462,892,2861,179,458,567

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).

ACM (ACM) vs DMAIL (DMAIL): -0.646 (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

ACM: Binance
DMAIL: Bybit