PYTH PYTH / ACM Crypto vs OBOL OBOL / 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 PYTH / ACMOBOL / ACM
📈 Performance Metrics
Start Price 0.240.31
End Price 0.120.06
Price Change % -48.29%-81.01%
Period High 0.270.33
Period Low 0.110.05
Price Range % 155.9%498.4%
🏆 All-Time Records
All-Time High 0.270.33
Days Since ATH 338 days191 days
Distance From ATH % -54.3%-81.8%
All-Time Low 0.110.05
Distance From ATL % +17.1%+8.7%
New ATHs Hit 2 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.50%6.09%
Biggest Jump (1 Day) % +0.12+0.05
Biggest Drop (1 Day) % -0.05-0.08
Days Above Avg % 48.0%36.5%
Extreme Moves days 6 (1.7%)11 (5.6%)
Stability Score % 0.0%0.0%
Trend Strength % 53.6%54.6%
Recent Momentum (10-day) % -8.47%-41.78%
📊 Statistical Measures
Average Price 0.170.14
Median Price 0.170.13
Price Std Deviation 0.040.04
🚀 Returns & Growth
CAGR % -50.44%-95.47%
Annualized Return % -50.44%-95.47%
Total Return % -48.29%-81.01%
⚠️ Risk & Volatility
Daily Volatility % 7.03%8.53%
Annualized Volatility % 134.36%163.01%
Max Drawdown % -60.93%-83.29%
Sharpe Ratio 0.001-0.055
Sortino Ratio 0.001-0.055
Calmar Ratio -0.828-1.146
Ulcer Index 39.0758.15
📅 Daily Performance
Win Rate % 46.4%45.4%
Positive Days 15989
Negative Days 184107
Best Day % +96.26%+33.32%
Worst Day % -24.42%-34.38%
Avg Gain (Up Days) % +3.94%+5.79%
Avg Loss (Down Days) % -3.39%-5.67%
Profit Factor 1.000.85
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.0030.849
Expectancy % +0.01%-0.47%
Kelly Criterion % 0.04%0.00%
📅 Weekly Performance
Best Week % +70.10%+34.43%
Worst Week % -20.55%-48.14%
Weekly Win Rate % 50.0%50.0%
📆 Monthly Performance
Best Month % +58.98%+20.31%
Worst Month % -24.69%-53.41%
Monthly Win Rate % 23.1%25.0%
🔧 Technical Indicators
RSI (14-period) 31.5015.19
Price vs 50-Day MA % -20.20%-46.66%
Price vs 200-Day MA % -17.95%N/A

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 OBOL (OBOL): 0.239 (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

PYTH: Kraken
OBOL: Bybit