PYTH PYTH / ALGO Crypto vs MBOX MBOX / ALGO Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / ALGOMBOX / ALGO
📈 Performance Metrics
Start Price 1.030.55
End Price 0.520.26
Price Change % -49.48%-52.61%
Period High 1.190.68
Period Low 0.410.20
Price Range % 194.6%246.6%
🏆 All-Time Records
All-Time High 1.190.68
Days Since ATH 329 days340 days
Distance From ATH % -56.6%-61.6%
All-Time Low 0.410.20
Distance From ATL % +27.8%+32.9%
New ATHs Hit 4 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.84%2.99%
Biggest Jump (1 Day) % +0.44+0.07
Biggest Drop (1 Day) % -0.12-0.08
Days Above Avg % 51.5%35.5%
Extreme Moves days 6 (1.7%)21 (6.1%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%52.8%
Recent Momentum (10-day) % -4.93%+4.31%
📊 Statistical Measures
Average Price 0.700.33
Median Price 0.700.27
Price Std Deviation 0.170.12
🚀 Returns & Growth
CAGR % -51.64%-54.82%
Annualized Return % -51.64%-54.82%
Total Return % -49.48%-52.61%
⚠️ Risk & Volatility
Daily Volatility % 6.39%4.44%
Annualized Volatility % 122.09%84.87%
Max Drawdown % -66.06%-71.14%
Sharpe Ratio -0.007-0.027
Sortino Ratio -0.012-0.029
Calmar Ratio -0.782-0.771
Ulcer Index 43.6254.03
📅 Daily Performance
Win Rate % 45.5%47.2%
Positive Days 156162
Negative Days 187181
Best Day % +94.89%+21.00%
Worst Day % -15.91%-20.71%
Avg Gain (Up Days) % +3.06%+2.94%
Avg Loss (Down Days) % -2.64%-2.86%
Profit Factor 0.970.92
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 0.9690.920
Expectancy % -0.04%-0.12%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +76.23%+27.44%
Worst Week % -17.04%-29.08%
Weekly Win Rate % 50.0%55.8%
📆 Monthly Performance
Best Month % +68.82%+28.03%
Worst Month % -21.88%-28.17%
Monthly Win Rate % 30.8%53.8%
🔧 Technical Indicators
RSI (14-period) 39.1857.71
Price vs 50-Day MA % -15.76%+0.27%
Price vs 200-Day MA % -13.48%+1.80%

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 MBOX (MBOX): 0.874 (Strong positive)

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
MBOX: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures