PYTH PYTH / MOG Crypto vs NEIROCTO NEIROCTO / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

Asset PYTH / MOGNEIROCTO / USD
📈 Performance Metrics
Start Price 186,161.520.00
End Price 207,909.600.00
Price Change % +11.68%-83.18%
Period High 418,913.040.00
Period Low 62,758.980.00
Price Range % 567.5%1,234.0%
🏆 All-Time Records
All-Time High 418,913.040.00
Days Since ATH 186 days312 days
Distance From ATH % -50.4%-86.0%
All-Time Low 62,758.980.00
Distance From ATL % +231.3%+87.2%
New ATHs Hit 23 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.91%6.23%
Biggest Jump (1 Day) % +123,936.39+0.00
Biggest Drop (1 Day) % -64,854.220.00
Days Above Avg % 42.2%25.3%
Extreme Moves days 8 (2.3%)13 (4.0%)
Stability Score % 100.0%0.0%
Trend Strength % 53.6%49.8%
Recent Momentum (10-day) % -6.95%-2.13%
📊 Statistical Measures
Average Price 191,519.160.00
Median Price 178,489.030.00
Price Std Deviation 79,902.810.00
🚀 Returns & Growth
CAGR % +12.48%-86.66%
Annualized Return % +12.48%-86.66%
Total Return % +11.68%-83.18%
⚠️ Risk & Volatility
Daily Volatility % 8.48%8.33%
Annualized Volatility % 161.96%159.23%
Max Drawdown % -85.02%-92.50%
Sharpe Ratio 0.040-0.026
Sortino Ratio 0.048-0.027
Calmar Ratio 0.147-0.937
Ulcer Index 49.4076.57
📅 Daily Performance
Win Rate % 53.6%50.2%
Positive Days 184162
Negative Days 159161
Best Day % +103.46%+43.33%
Worst Day % -25.51%-21.22%
Avg Gain (Up Days) % +4.95%+5.87%
Avg Loss (Down Days) % -5.01%-6.33%
Profit Factor 1.140.93
🔥 Streaks & Patterns
Longest Win Streak days 108
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.1450.932
Expectancy % +0.34%-0.21%
Kelly Criterion % 1.35%0.00%
📅 Weekly Performance
Best Week % +90.32%+97.96%
Worst Week % -41.67%-36.07%
Weekly Win Rate % 64.7%54.2%
📆 Monthly Performance
Best Month % +146.78%+80.38%
Worst Month % -47.36%-53.19%
Monthly Win Rate % 38.5%41.7%
🔧 Technical Indicators
RSI (14-period) 45.2261.36
Price vs 50-Day MA % +11.13%-12.71%
Price vs 200-Day MA % +21.87%-20.21%
💰 Volume Analysis
Avg Volume 1,905,719,422,3552,211,670,592
Total Volume 655,567,481,290,115716,581,271,889

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 NEIROCTO (NEIROCTO): -0.270 (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
NEIROCTO: Bybit