DBR DBR / ACM Crypto vs PYTH PYTH / 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 DBR / ACMPYTH / USD
📈 Performance Metrics
Start Price 0.020.41
End Price 0.040.10
Price Change % +106.13%-75.80%
Period High 0.050.53
Period Low 0.010.09
Price Range % 271.8%518.7%
🏆 All-Time Records
All-Time High 0.050.53
Days Since ATH 10 days323 days
Distance From ATH % -25.9%-81.2%
All-Time Low 0.010.09
Distance From ATL % +175.7%+16.3%
New ATHs Hit 8 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.52%4.42%
Biggest Jump (1 Day) % +0.01+0.11
Biggest Drop (1 Day) % -0.01-0.09
Days Above Avg % 45.3%30.5%
Extreme Moves days 22 (6.4%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 49.0%50.1%
Recent Momentum (10-day) % +8.45%-30.03%
📊 Statistical Measures
Average Price 0.020.20
Median Price 0.020.15
Price Std Deviation 0.010.11
🚀 Returns & Growth
CAGR % +115.92%-77.91%
Annualized Return % +115.92%-77.91%
Total Return % +106.13%-75.80%
⚠️ Risk & Volatility
Daily Volatility % 6.95%8.00%
Annualized Volatility % 132.71%152.80%
Max Drawdown % -60.19%-83.84%
Sharpe Ratio 0.064-0.018
Sortino Ratio 0.077-0.023
Calmar Ratio 1.926-0.929
Ulcer Index 33.3465.13
📅 Daily Performance
Win Rate % 49.0%49.7%
Positive Days 168170
Negative Days 175172
Best Day % +39.43%+99.34%
Worst Day % -22.41%-32.57%
Avg Gain (Up Days) % +4.98%+4.53%
Avg Loss (Down Days) % -3.92%-4.76%
Profit Factor 1.220.94
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.2210.940
Expectancy % +0.44%-0.14%
Kelly Criterion % 2.26%0.00%
📅 Weekly Performance
Best Week % +55.60%+65.86%
Worst Week % -39.89%-27.08%
Weekly Win Rate % 51.9%53.8%
📆 Monthly Performance
Best Month % +61.30%+65.32%
Worst Month % -37.07%-31.62%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 49.1030.52
Price vs 50-Day MA % +17.62%-31.54%
Price vs 200-Day MA % +53.67%-25.52%

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).

DBR (DBR) vs PYTH (PYTH): -0.417 (Moderate negative)

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

DBR: Kraken
PYTH: Kraken