PYTH PYTH / MCDX Crypto vs SOPH SOPH / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / MCDXSOPH / USD
📈 Performance Metrics
Start Price 0.000.07
End Price 0.000.02
Price Change % -18.16%-73.81%
Period High 0.000.07
Period Low 0.000.02
Price Range % 165.9%286.0%
🏆 All-Time Records
All-Time High 0.000.07
Days Since ATH 60 days152 days
Distance From ATH % -62.4%-73.8%
All-Time Low 0.000.02
Distance From ATL % +0.0%+1.1%
New ATHs Hit 12 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.22%4.21%
Biggest Jump (1 Day) % +0.00+0.01
Biggest Drop (1 Day) % 0.00-0.01
Days Above Avg % 42.9%42.5%
Extreme Moves days 2 (1.8%)7 (4.6%)
Stability Score % 0.0%0.0%
Trend Strength % 54.1%51.3%
Recent Momentum (10-day) % -17.77%-16.95%
📊 Statistical Measures
Average Price 0.000.04
Median Price 0.000.03
Price Std Deviation 0.000.01
🚀 Returns & Growth
CAGR % -48.27%-95.99%
Annualized Return % -48.27%-95.99%
Total Return % -18.16%-73.81%
⚠️ Risk & Volatility
Daily Volatility % 11.21%4.98%
Annualized Volatility % 214.26%95.09%
Max Drawdown % -62.40%-74.09%
Sharpe Ratio 0.027-0.151
Sortino Ratio 0.044-0.132
Calmar Ratio -0.774-1.296
Ulcer Index 31.0449.20
📅 Daily Performance
Win Rate % 45.9%48.7%
Positive Days 5174
Negative Days 6078
Best Day % +97.62%+14.63%
Worst Day % -33.69%-16.91%
Avg Gain (Up Days) % +6.06%+3.27%
Avg Loss (Down Days) % -4.60%-4.57%
Profit Factor 1.120.68
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 75
💹 Trading Metrics
Omega Ratio 1.1210.680
Expectancy % +0.30%-0.75%
Kelly Criterion % 1.08%0.00%
📅 Weekly Performance
Best Week % +67.14%+16.51%
Worst Week % -21.14%-21.24%
Weekly Win Rate % 66.7%50.0%
📆 Monthly Performance
Best Month % +62.07%+32.42%
Worst Month % -24.24%-36.87%
Monthly Win Rate % 60.0%28.6%
🔧 Technical Indicators
RSI (14-period) 44.2528.76
Price vs 50-Day MA % -39.28%-35.65%

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).

PYTH (PYTH) vs SOPH (SOPH): 0.147 (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

PYTH: Kraken
SOPH: Binance
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