ACM ACM / PYTH Crypto vs DIMO DIMO / PYTH 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 / PYTHDIMO / PYTH
📈 Performance Metrics
Start Price 4.240.47
End Price 8.670.27
Price Change % +104.59%-42.97%
Period High 9.500.96
Period Low 3.710.22
Price Range % 155.9%341.2%
🏆 All-Time Records
All-Time High 9.500.96
Days Since ATH 98 days87 days
Distance From ATH % -8.7%-71.8%
All-Time Low 3.710.22
Distance From ATL % +133.6%+24.3%
New ATHs Hit 34 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.65%5.61%
Biggest Jump (1 Day) % +1.75+0.28
Biggest Drop (1 Day) % -4.05-0.35
Days Above Avg % 45.6%54.4%
Extreme Moves days 16 (4.7%)15 (4.4%)
Stability Score % 9.6%0.0%
Trend Strength % 54.2%55.7%
Recent Momentum (10-day) % +12.17%-3.59%
📊 Statistical Measures
Average Price 6.160.43
Median Price 6.010.45
Price Std Deviation 1.320.09
🚀 Returns & Growth
CAGR % +114.20%-44.99%
Annualized Return % +114.20%-44.99%
Total Return % +104.59%-42.97%
⚠️ Risk & Volatility
Daily Volatility % 5.57%9.90%
Annualized Volatility % 106.39%189.06%
Max Drawdown % -55.68%-77.34%
Sharpe Ratio 0.0680.030
Sortino Ratio 0.0650.040
Calmar Ratio 2.051-0.582
Ulcer Index 20.7239.00
📅 Daily Performance
Win Rate % 54.2%44.3%
Positive Days 186152
Negative Days 157191
Best Day % +32.32%+69.47%
Worst Day % -49.05%-53.85%
Avg Gain (Up Days) % +3.64%+6.46%
Avg Loss (Down Days) % -3.48%-4.61%
Profit Factor 1.241.12
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 710
💹 Trading Metrics
Omega Ratio 1.2381.116
Expectancy % +0.38%+0.30%
Kelly Criterion % 3.00%1.00%
📅 Weekly Performance
Best Week % +25.86%+23.79%
Worst Week % -41.21%-37.24%
Weekly Win Rate % 51.9%51.9%
📆 Monthly Performance
Best Month % +32.78%+31.32%
Worst Month % -37.10%-22.31%
Monthly Win Rate % 69.2%38.5%
🔧 Technical Indicators
RSI (14-period) 74.1948.26
Price vs 50-Day MA % +28.70%-4.27%
Price vs 200-Day MA % +26.11%-35.39%
💰 Volume Analysis
Avg Volume 11,857,99745,349,528
Total Volume 4,079,150,97915,600,237,583

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 DIMO (DIMO): 0.086 (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

ACM: Binance
DIMO: Coinbase