PYTH PYTH / MOG Crypto vs IMX IMX / 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 / MOGIMX / USD
📈 Performance Metrics
Start Price 197,439.151.11
End Price 207,909.600.71
Price Change % +5.30%-36.24%
Period High 418,913.042.13
Period Low 62,758.980.36
Price Range % 567.5%492.2%
🏆 All-Time Records
All-Time High 418,913.042.13
Days Since ATH 186 days307 days
Distance From ATH % -50.4%-66.7%
All-Time Low 62,758.980.36
Distance From ATL % +231.3%+97.3%
New ATHs Hit 22 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.91%4.52%
Biggest Jump (1 Day) % +123,936.39+0.17
Biggest Drop (1 Day) % -64,854.22-0.34
Days Above Avg % 42.3%28.9%
Extreme Moves days 8 (2.3%)18 (5.3%)
Stability Score % 100.0%0.0%
Trend Strength % 53.5%50.9%
Recent Momentum (10-day) % -6.95%-1.28%
📊 Statistical Measures
Average Price 191,534.780.82
Median Price 178,450.840.64
Price Std Deviation 80,018.680.43
🚀 Returns & Growth
CAGR % +5.67%-38.15%
Annualized Return % +5.67%-38.15%
Total Return % +5.30%-36.24%
⚠️ Risk & Volatility
Daily Volatility % 8.48%5.81%
Annualized Volatility % 162.09%111.09%
Max Drawdown % -85.02%-83.11%
Sharpe Ratio 0.0380.006
Sortino Ratio 0.0460.007
Calmar Ratio 0.067-0.459
Ulcer Index 49.4863.76
📅 Daily Performance
Win Rate % 53.5%49.0%
Positive Days 183167
Negative Days 159174
Best Day % +103.46%+20.43%
Worst Day % -25.51%-16.35%
Avg Gain (Up Days) % +4.95%+4.68%
Avg Loss (Down Days) % -5.01%-4.42%
Profit Factor 1.141.02
🔥 Streaks & Patterns
Longest Win Streak days 107
Longest Loss Streak days 612
💹 Trading Metrics
Omega Ratio 1.1371.016
Expectancy % +0.32%+0.04%
Kelly Criterion % 1.29%0.18%
📅 Weekly Performance
Best Week % +90.32%+32.40%
Worst Week % -41.67%-27.46%
Weekly Win Rate % 62.7%51.0%
📆 Monthly Performance
Best Month % +146.78%+77.81%
Worst Month % -47.36%-34.70%
Monthly Win Rate % 41.7%50.0%
🔧 Technical Indicators
RSI (14-period) 45.2254.56
Price vs 50-Day MA % +11.13%+9.81%
Price vs 200-Day MA % +21.87%+26.14%
💰 Volume Analysis
Avg Volume 1,908,479,609,957363,727
Total Volume 654,608,506,215,339124,758,531

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 IMX (IMX): -0.072 (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
IMX: Kraken
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