PYTH PYTH / ANLOG Crypto vs MDT MDT / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / ANLOGMDT / USD

📈 Performance Metrics

Start Price 66.630.05

End Price 67.180.01

Price Change % +0.82%-73.66%

Period High 175.230.08

Period Low 52.510.01

Price Range % 233.7%525.0%

🏆 All-Time Records

All-Time High 175.230.08

Days Since ATH 64 days323 days

Distance From ATH % -61.7%-82.3%

All-Time Low 52.510.01

Distance From ATL % +27.9%+10.7%

New ATHs Hit 8 times9 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.14%4.35%

Biggest Jump (1 Day) % +87.66+0.01

Biggest Drop (1 Day) % -58.20-0.01

Days Above Avg % 34.1%30.6%

Extreme Moves days 9 (3.5%)8 (2.3%)

Stability Score % 88.9%0.0%

Trend Strength % 47.7%53.2%

Recent Momentum (10-day) % -10.29%-15.82%

📊 Statistical Measures

Average Price 97.530.03

Median Price 89.940.03

Price Std Deviation 25.440.01

🚀 Returns & Growth

CAGR % +1.16%-75.92%

Annualized Return % +1.16%-75.92%

Total Return % +0.82%-73.66%

⚠️ Risk & Volatility

Daily Volatility % 10.85%7.70%

Annualized Volatility % 207.24%147.20%

Max Drawdown % -70.03%-84.00%

Sharpe Ratio 0.048-0.019

Sortino Ratio 0.063-0.026

Calmar Ratio 0.017-0.904

Ulcer Index 36.0462.35

📅 Daily Performance

Win Rate % 47.9%46.5%

Positive Days 124158

Negative Days 135182

Best Day % +100.10%+89.54%

Worst Day % -40.65%-17.95%

Avg Gain (Up Days) % +7.18%+4.46%

Avg Loss (Down Days) % -5.60%-4.14%

Profit Factor 1.180.94

🔥 Streaks & Patterns

Longest Win Streak days 55

Longest Loss Streak days 78

💹 Trading Metrics

Omega Ratio 1.1780.935

Expectancy % +0.52%-0.14%

Kelly Criterion % 1.30%0.00%

📅 Weekly Performance

Best Week % +70.53%+80.85%

Worst Week % -28.77%-24.73%

Weekly Win Rate % 60.0%40.4%

📆 Monthly Performance

Best Month % +70.75%+119.84%

Worst Month % -20.94%-47.17%

Monthly Win Rate % 50.0%30.8%

🔧 Technical Indicators

RSI (14-period) 52.7922.33

Price vs 50-Day MA % -40.82%-28.97%

Price vs 200-Day MA % -31.95%-40.27%

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 MDT (MDT):	0.165 (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
MDT: Coinbase