MBL MBL / PYTH 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 MBL / PYTHPYTH / USD
📈 Performance Metrics
Start Price 0.010.42
End Price 0.010.10
Price Change % +77.59%-75.94%
Period High 0.020.53
Period Low 0.010.09
Price Range % 244.3%518.7%
🏆 All-Time Records
All-Time High 0.020.53
Days Since ATH 118 days322 days
Distance From ATH % -44.4%-81.0%
All-Time Low 0.010.09
Distance From ATL % +91.6%+17.9%
New ATHs Hit 31 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.39%4.41%
Biggest Jump (1 Day) % +0.00+0.11
Biggest Drop (1 Day) % -0.01-0.09
Days Above Avg % 45.9%30.5%
Extreme Moves days 14 (4.1%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%50.1%
Recent Momentum (10-day) % +5.99%-33.38%
📊 Statistical Measures
Average Price 0.010.20
Median Price 0.010.15
Price Std Deviation 0.000.11
🚀 Returns & Growth
CAGR % +84.25%-78.04%
Annualized Return % +84.25%-78.04%
Total Return % +77.59%-75.94%
⚠️ Risk & Volatility
Daily Volatility % 5.06%8.00%
Annualized Volatility % 96.70%152.81%
Max Drawdown % -60.13%-83.84%
Sharpe Ratio 0.062-0.018
Sortino Ratio 0.058-0.023
Calmar Ratio 1.401-0.931
Ulcer Index 23.2164.98
📅 Daily Performance
Win Rate % 50.4%49.7%
Positive Days 173170
Negative Days 170172
Best Day % +16.77%+99.34%
Worst Day % -48.53%-32.57%
Avg Gain (Up Days) % +3.70%+4.53%
Avg Loss (Down Days) % -3.13%-4.77%
Profit Factor 1.200.94
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.2020.939
Expectancy % +0.31%-0.15%
Kelly Criterion % 2.70%0.00%
📅 Weekly Performance
Best Week % +22.07%+65.86%
Worst Week % -38.81%-27.08%
Weekly Win Rate % 46.2%51.9%
📆 Monthly Performance
Best Month % +26.01%+65.32%
Worst Month % -41.35%-31.62%
Monthly Win Rate % 69.2%38.5%
🔧 Technical Indicators
RSI (14-period) 63.4533.10
Price vs 50-Day MA % +5.15%-31.27%
Price vs 200-Day MA % -20.30%-24.65%

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).

MBL (MBL) vs PYTH (PYTH): -0.826 (Strong 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

MBL: Binance
PYTH: Kraken