ALGO ALGO / BMT 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 ALGO / BMTPYTH / USD
📈 Performance Metrics
Start Price 1.720.41
End Price 5.070.10
Price Change % +195.71%-75.80%
Period High 5.270.53
Period Low 0.700.09
Price Range % 654.2%518.7%
🏆 All-Time Records
All-Time High 5.270.53
Days Since ATH 2 days323 days
Distance From ATH % -3.7%-81.2%
All-Time Low 0.700.09
Distance From ATL % +626.5%+16.3%
New ATHs Hit 17 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.68%4.42%
Biggest Jump (1 Day) % +1.34+0.11
Biggest Drop (1 Day) % -0.88-0.09
Days Above Avg % 45.6%30.5%
Extreme Moves days 9 (4.0%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 54.7%50.1%
Recent Momentum (10-day) % +28.38%-30.03%
📊 Statistical Measures
Average Price 2.640.20
Median Price 2.470.15
Price Std Deviation 1.010.11
🚀 Returns & Growth
CAGR % +480.56%-77.91%
Annualized Return % +480.56%-77.91%
Total Return % +195.71%-75.80%
⚠️ Risk & Volatility
Daily Volatility % 9.72%8.00%
Annualized Volatility % 185.61%152.80%
Max Drawdown % -69.14%-83.84%
Sharpe Ratio 0.098-0.018
Sortino Ratio 0.108-0.023
Calmar Ratio 6.950-0.929
Ulcer Index 25.3865.13
📅 Daily Performance
Win Rate % 54.7%49.7%
Positive Days 123170
Negative Days 102172
Best Day % +53.78%+99.34%
Worst Day % -46.46%-32.57%
Avg Gain (Up Days) % +6.08%+4.53%
Avg Loss (Down Days) % -5.22%-4.76%
Profit Factor 1.400.94
🔥 Streaks & Patterns
Longest Win Streak days 107
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.4030.940
Expectancy % +0.95%-0.14%
Kelly Criterion % 3.01%0.00%
📅 Weekly Performance
Best Week % +76.99%+65.86%
Worst Week % -33.08%-27.08%
Weekly Win Rate % 55.9%53.8%
📆 Monthly Performance
Best Month % +151.80%+65.32%
Worst Month % -35.68%-31.62%
Monthly Win Rate % 55.6%38.5%
🔧 Technical Indicators
RSI (14-period) 87.1730.52
Price vs 50-Day MA % +31.39%-31.54%
Price vs 200-Day MA % +82.45%-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).

ALGO (ALGO) vs PYTH (PYTH): 0.062 (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

ALGO: Kraken
PYTH: Kraken