PYTH PYTH / MDAO Crypto vs FRAG FRAG / 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 PYTH / MDAOFRAG / USD
📈 Performance Metrics
Start Price 5.470.09
End Price 9.060.01
Price Change % +65.62%-88.46%
Period High 9.270.09
Period Low 2.880.01
Price Range % 221.9%830.3%
🏆 All-Time Records
All-Time High 9.270.09
Days Since ATH 1 days107 days
Distance From ATH % -2.3%-88.5%
All-Time Low 2.880.01
Distance From ATL % +214.5%+7.3%
New ATHs Hit 18 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.06%5.05%
Biggest Jump (1 Day) % +2.88+0.01
Biggest Drop (1 Day) % -1.82-0.02
Days Above Avg % 49.1%38.0%
Extreme Moves days 12 (3.5%)7 (6.5%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%60.7%
Recent Momentum (10-day) % +45.63%-46.31%
📊 Statistical Measures
Average Price 5.320.04
Median Price 5.280.04
Price Std Deviation 1.230.01
🚀 Returns & Growth
CAGR % +71.07%-99.94%
Annualized Return % +71.07%-99.94%
Total Return % +65.62%-88.46%
⚠️ Risk & Volatility
Daily Volatility % 7.77%8.78%
Annualized Volatility % 148.53%167.76%
Max Drawdown % -66.53%-89.25%
Sharpe Ratio 0.056-0.171
Sortino Ratio 0.062-0.150
Calmar Ratio 1.068-1.120
Ulcer Index 40.2355.40
📅 Daily Performance
Win Rate % 54.5%39.3%
Positive Days 18742
Negative Days 15665
Best Day % +58.79%+22.53%
Worst Day % -32.55%-58.46%
Avg Gain (Up Days) % +5.11%+4.26%
Avg Loss (Down Days) % -5.17%-5.21%
Profit Factor 1.190.53
🔥 Streaks & Patterns
Longest Win Streak days 93
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.1850.527
Expectancy % +0.43%-1.50%
Kelly Criterion % 1.65%0.00%
📅 Weekly Performance
Best Week % +42.39%+13.03%
Worst Week % -21.65%-31.53%
Weekly Win Rate % 59.6%35.3%
📆 Monthly Performance
Best Month % +55.91%+-15.16%
Worst Month % -28.23%-59.97%
Monthly Win Rate % 53.8%0.0%
🔧 Technical Indicators
RSI (14-period) 82.029.71
Price vs 50-Day MA % +99.02%-68.45%
Price vs 200-Day MA % +88.97%N/A

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 FRAG (FRAG): -0.561 (Moderate 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

PYTH: Kraken
FRAG: Bybit