GSWIFT GSWIFT / USD Crypto vs ACM ACM / 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 GSWIFT / USDACM / USD
📈 Performance Metrics
Start Price 0.131.88
End Price 0.000.54
Price Change % -98.62%-71.20%
Period High 0.131.88
Period Low 0.000.52
Price Range % 7,147.0%259.8%
🏆 All-Time Records
All-Time High 0.131.88
Days Since ATH 306 days343 days
Distance From ATH % -98.6%-71.2%
All-Time Low 0.000.52
Distance From ATL % +0.0%+3.6%
New ATHs Hit 0 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.16%2.87%
Biggest Jump (1 Day) % +0.02+0.26
Biggest Drop (1 Day) % -0.02-0.26
Days Above Avg % 24.1%36.9%
Extreme Moves days 19 (6.2%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 61.4%51.0%
Recent Momentum (10-day) % -44.35%+0.36%
📊 Statistical Measures
Average Price 0.020.95
Median Price 0.010.90
Price Std Deviation 0.020.27
🚀 Returns & Growth
CAGR % -99.40%-73.41%
Annualized Return % -99.40%-73.41%
Total Return % -98.62%-71.20%
⚠️ Risk & Volatility
Daily Volatility % 7.66%4.39%
Annualized Volatility % 146.31%83.90%
Max Drawdown % -98.62%-72.21%
Sharpe Ratio -0.143-0.061
Sortino Ratio -0.154-0.062
Calmar Ratio -1.008-1.017
Ulcer Index 85.2051.76
📅 Daily Performance
Win Rate % 38.6%47.6%
Positive Days 118159
Negative Days 188175
Best Day % +43.94%+27.66%
Worst Day % -42.04%-29.15%
Avg Gain (Up Days) % +5.04%+2.71%
Avg Loss (Down Days) % -4.95%-2.98%
Profit Factor 0.640.83
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 116
💹 Trading Metrics
Omega Ratio 0.6390.825
Expectancy % -1.10%-0.27%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +13.87%+27.70%
Worst Week % -33.97%-18.97%
Weekly Win Rate % 40.4%43.4%
📆 Monthly Performance
Best Month % +23.35%+26.44%
Worst Month % -57.63%-20.72%
Monthly Win Rate % 8.3%38.5%
🔧 Technical Indicators
RSI (14-period) 8.9854.68
Price vs 50-Day MA % -65.56%-8.85%
Price vs 200-Day MA % -79.90%-33.98%
💰 Volume Analysis
Avg Volume 9,897,6361,559,523
Total Volume 3,038,574,383536,476,082

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).

GSWIFT (GSWIFT) vs ACM (ACM): 0.921 (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

GSWIFT: Bybit
ACM: Binance