J J / ACM Crypto vs PYTH PYTH / ACM Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset J / ACMPYTH / ACM
📈 Performance Metrics
Start Price 0.410.25
End Price 0.070.14
Price Change % -83.45%-43.85%
Period High 0.410.29
Period Low 0.060.11
Price Range % 558.7%172.3%
🏆 All-Time Records
All-Time High 0.410.29
Days Since ATH 283 days335 days
Distance From ATH % -83.4%-51.7%
All-Time Low 0.060.11
Distance From ATL % +9.0%+31.5%
New ATHs Hit 0 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.42%3.49%
Biggest Jump (1 Day) % +0.11+0.12
Biggest Drop (1 Day) % -0.11-0.05
Days Above Avg % 51.1%46.2%
Extreme Moves days 11 (3.9%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 54.4%52.8%
Recent Momentum (10-day) % +1.11%-8.98%
📊 Statistical Measures
Average Price 0.180.18
Median Price 0.180.17
Price Std Deviation 0.070.04
🚀 Returns & Growth
CAGR % -90.17%-45.89%
Annualized Return % -90.17%-45.89%
Total Return % -83.45%-43.85%
⚠️ Risk & Volatility
Daily Volatility % 8.09%7.05%
Annualized Volatility % 154.63%134.63%
Max Drawdown % -84.82%-63.27%
Sharpe Ratio -0.0390.004
Sortino Ratio -0.0440.006
Calmar Ratio -1.063-0.725
Ulcer Index 58.3640.58
📅 Daily Performance
Win Rate % 45.6%47.2%
Positive Days 129162
Negative Days 154181
Best Day % +47.44%+96.26%
Worst Day % -31.94%-24.42%
Avg Gain (Up Days) % +5.29%+3.92%
Avg Loss (Down Days) % -5.01%-3.45%
Profit Factor 0.881.02
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 58
💹 Trading Metrics
Omega Ratio 0.8831.017
Expectancy % -0.32%+0.03%
Kelly Criterion % 0.00%0.23%
📅 Weekly Performance
Best Week % +89.05%+70.10%
Worst Week % -45.32%-20.55%
Weekly Win Rate % 40.5%51.9%
📆 Monthly Performance
Best Month % +72.08%+58.98%
Worst Month % -47.18%-24.69%
Monthly Win Rate % 36.4%30.8%
🔧 Technical Indicators
RSI (14-period) 50.7824.85
Price vs 50-Day MA % -29.18%-19.69%
Price vs 200-Day MA % -56.18%-10.71%

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).

J (J) vs PYTH (PYTH): 0.381 (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

J: Bybit
PYTH: Kraken