ACM ACM / PYTH Crypto vs NEO NEO / 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 / PYTHNEO / PYTH
📈 Performance Metrics
Start Price 4.2941.22
End Price 8.3964.19
Price Change % +95.51%+55.72%
Period High 9.5065.67
Period Low 3.7130.76
Price Range % 155.9%113.5%
🏆 All-Time Records
All-Time High 9.5065.67
Days Since ATH 97 days87 days
Distance From ATH % -11.7%-2.3%
All-Time Low 3.7130.76
Distance From ATL % +126.0%+108.7%
New ATHs Hit 34 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.64%2.58%
Biggest Jump (1 Day) % +1.75+9.03
Biggest Drop (1 Day) % -4.05-30.34
Days Above Avg % 45.6%54.1%
Extreme Moves days 16 (4.7%)13 (3.8%)
Stability Score % 9.4%90.3%
Trend Strength % 53.6%55.7%
Recent Momentum (10-day) % +10.51%+5.82%
📊 Statistical Measures
Average Price 6.1547.69
Median Price 5.9949.11
Price Std Deviation 1.317.13
🚀 Returns & Growth
CAGR % +104.10%+60.21%
Annualized Return % +104.10%+60.21%
Total Return % +95.51%+55.72%
⚠️ Risk & Volatility
Daily Volatility % 5.57%4.63%
Annualized Volatility % 106.37%88.46%
Max Drawdown % -55.68%-53.16%
Sharpe Ratio 0.0660.055
Sortino Ratio 0.0630.047
Calmar Ratio 1.8701.133
Ulcer Index 20.7221.80
📅 Daily Performance
Win Rate % 53.8%55.7%
Positive Days 184191
Negative Days 158152
Best Day % +32.32%+23.00%
Worst Day % -49.05%-49.52%
Avg Gain (Up Days) % +3.66%+2.56%
Avg Loss (Down Days) % -3.47%-2.65%
Profit Factor 1.231.22
🔥 Streaks & Patterns
Longest Win Streak days 88
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.2291.217
Expectancy % +0.37%+0.25%
Kelly Criterion % 2.89%3.75%
📅 Weekly Performance
Best Week % +25.86%+22.39%
Worst Week % -41.21%-44.71%
Weekly Win Rate % 51.9%55.8%
📆 Monthly Performance
Best Month % +32.78%+27.06%
Worst Month % -37.10%-30.00%
Monthly Win Rate % 69.2%53.8%
🔧 Technical Indicators
RSI (14-period) 72.4974.81
Price vs 50-Day MA % +25.78%+21.35%
Price vs 200-Day MA % +22.27%+29.58%
💰 Volume Analysis
Avg Volume 11,714,2306,649,406
Total Volume 4,029,695,0522,287,395,572

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 NEO (NEO): 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

ACM: Binance
NEO: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures