PYTH PYTH / LUNC 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 PYTH / LUNCACM / USD
📈 Performance Metrics
Start Price 4,100.021.57
End Price 2,773.850.56
Price Change % -32.35%-64.01%
Period High 4,100.022.07
Period Low 1,628.480.56
Price Range % 151.8%270.8%
🏆 All-Time Records
All-Time High 4,100.022.07
Days Since ATH 343 days320 days
Distance From ATH % -32.3%-72.8%
All-Time Low 1,628.480.56
Distance From ATL % +70.3%+0.9%
New ATHs Hit 0 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.08%2.90%
Biggest Jump (1 Day) % +1,827.83+0.26
Biggest Drop (1 Day) % -468.11-0.27
Days Above Avg % 48.8%32.8%
Extreme Moves days 6 (1.7%)14 (4.1%)
Stability Score % 99.8%0.0%
Trend Strength % 52.5%51.6%
Recent Momentum (10-day) % +3.73%-19.82%
📊 Statistical Measures
Average Price 2,641.711.05
Median Price 2,586.810.93
Price Std Deviation 610.690.33
🚀 Returns & Growth
CAGR % -34.02%-66.29%
Annualized Return % -34.02%-66.29%
Total Return % -32.35%-64.01%
⚠️ Risk & Volatility
Daily Volatility % 6.39%4.47%
Annualized Volatility % 122.18%85.49%
Max Drawdown % -60.28%-73.03%
Sharpe Ratio 0.007-0.044
Sortino Ratio 0.011-0.045
Calmar Ratio -0.564-0.908
Ulcer Index 38.5651.52
📅 Daily Performance
Win Rate % 47.5%47.0%
Positive Days 163157
Negative Days 180177
Best Day % +93.85%+27.66%
Worst Day % -15.88%-29.15%
Avg Gain (Up Days) % +3.28%+2.88%
Avg Loss (Down Days) % -2.89%-2.94%
Profit Factor 1.030.87
🔥 Streaks & Patterns
Longest Win Streak days 105
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0280.870
Expectancy % +0.04%-0.20%
Kelly Criterion % 0.45%0.00%
📅 Weekly Performance
Best Week % +62.46%+27.70%
Worst Week % -15.52%-18.97%
Weekly Win Rate % 53.8%50.0%
📆 Monthly Performance
Best Month % +63.24%+26.44%
Worst Month % -22.89%-18.00%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 63.5835.75
Price vs 50-Day MA % +0.36%-29.53%
Price vs 200-Day MA % +20.92%-34.41%
💰 Volume Analysis
Avg Volume 30,382,614,8631,460,667
Total Volume 10,451,619,512,727502,469,469

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).

PYTH (PYTH) vs ACM (ACM): 0.718 (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

PYTH: Kraken
ACM: Binance