FORTH FORTH / 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.

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset FORTH / ACMOBOL / ACM
📈 Performance Metrics
Start Price 1.910.31
End Price 3.600.14
Price Change % +88.64%-54.01%
Period High 4.210.33
Period Low 1.890.10
Price Range % 122.7%216.1%
🏆 All-Time Records
All-Time High 4.210.33
Days Since ATH 254 days158 days
Distance From ATH % -14.5%-56.0%
All-Time Low 1.890.10
Distance From ATL % +90.3%+39.0%
New ATHs Hit 24 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.33%6.14%
Biggest Jump (1 Day) % +1.18+0.05
Biggest Drop (1 Day) % -0.78-0.08
Days Above Avg % 54.1%32.9%
Extreme Moves days 15 (4.4%)11 (6.7%)
Stability Score % 0.0%0.0%
Trend Strength % 55.1%50.9%
Recent Momentum (10-day) % +13.49%+4.16%
📊 Statistical Measures
Average Price 3.030.15
Median Price 3.060.14
Price Std Deviation 0.420.04
🚀 Returns & Growth
CAGR % +96.48%-82.44%
Annualized Return % +96.48%-82.44%
Total Return % +88.64%-54.01%
⚠️ Risk & Volatility
Daily Volatility % 5.59%8.79%
Annualized Volatility % 106.89%168.02%
Max Drawdown % -44.29%-68.37%
Sharpe Ratio 0.059-0.008
Sortino Ratio 0.069-0.008
Calmar Ratio 2.178-1.206
Ulcer Index 24.7955.34
📅 Daily Performance
Win Rate % 55.1%49.1%
Positive Days 18980
Negative Days 15483
Best Day % +50.21%+33.32%
Worst Day % -22.40%-34.38%
Avg Gain (Up Days) % +3.32%+5.85%
Avg Loss (Down Days) % -3.34%-5.78%
Profit Factor 1.220.98
🔥 Streaks & Patterns
Longest Win Streak days 84
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.2210.975
Expectancy % +0.33%-0.07%
Kelly Criterion % 2.99%0.00%
📅 Weekly Performance
Best Week % +37.40%+34.43%
Worst Week % -23.25%-48.14%
Weekly Win Rate % 50.0%56.0%
📆 Monthly Performance
Best Month % +43.42%+20.31%
Worst Month % -19.13%-53.41%
Monthly Win Rate % 53.8%42.9%
🔧 Technical Indicators
RSI (14-period) 75.4158.73
Price vs 50-Day MA % +16.56%+7.54%
Price vs 200-Day MA % +18.67%N/A
💰 Volume Analysis
Avg Volume 10,0866,060,889
Total Volume 3,469,464993,985,737

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).

FORTH (FORTH) vs OBOL (OBOL): 0.214 (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

FORTH: Kraken
OBOL: Bybit