PYTH PYTH / MCDX Crypto vs TUT TUT / MCDX 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 PYTH / MCDXTUT / MCDX
📈 Performance Metrics
Start Price 0.000.00
End Price 0.000.00
Price Change % -6.49%-73.32%
Period High 0.000.00
Period Low 0.000.00
Price Range % 132.7%601.5%
🏆 All-Time Records
All-Time High 0.000.00
Days Since ATH 46 days24 days
Distance From ATH % -57.0%-85.7%
All-Time Low 0.000.00
Distance From ATL % +0.0%+0.0%
New ATHs Hit 12 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.26%6.04%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 48.0%33.7%
Extreme Moves days 2 (2.1%)3 (3.1%)
Stability Score % 0.0%0.0%
Trend Strength % 52.6%48.5%
Recent Momentum (10-day) % -7.97%-25.67%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -22.31%-99.31%
Annualized Return % -22.31%-99.31%
Total Return % -6.49%-73.32%
⚠️ Risk & Volatility
Daily Volatility % 11.69%12.88%
Annualized Volatility % 223.26%246.03%
Max Drawdown % -57.03%-85.75%
Sharpe Ratio 0.038-0.013
Sortino Ratio 0.062-0.012
Calmar Ratio -0.391-1.158
Ulcer Index 25.1826.92
📅 Daily Performance
Win Rate % 47.4%51.5%
Positive Days 4650
Negative Days 5147
Best Day % +97.62%+76.34%
Worst Day % -33.69%-78.16%
Avg Gain (Up Days) % +6.11%+5.03%
Avg Loss (Down Days) % -4.65%-5.69%
Profit Factor 1.180.94
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 75
💹 Trading Metrics
Omega Ratio 1.1830.940
Expectancy % +0.45%-0.16%
Kelly Criterion % 1.58%0.00%
📅 Weekly Performance
Best Week % +67.14%+22.20%
Worst Week % -11.66%-13.34%
Weekly Win Rate % 68.8%50.0%
📆 Monthly Performance
Best Month % +62.07%+42.34%
Worst Month % -13.43%-14.20%
Monthly Win Rate % 60.0%40.0%
🔧 Technical Indicators
RSI (14-period) 28.1220.36
Price vs 50-Day MA % -38.40%-75.83%
💰 Volume Analysis
Avg Volume 10,706384,570
Total Volume 1,049,17137,687,893

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 TUT (TUT): 0.488 (Moderate 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
TUT: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures