PYTH PYTH / DEEP Crypto vs APEX APEX / 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 / DEEPAPEX / USD
📈 Performance Metrics
Start Price 0.781.70
End Price 1.550.77
Price Change % +99.85%-54.46%
Period High 1.642.32
Period Low 0.640.15
Price Range % 157.1%1,491.4%
🏆 All-Time Records
All-Time High 1.642.32
Days Since ATH 8 days19 days
Distance From ATH % -5.0%-66.6%
All-Time Low 0.640.15
Distance From ATL % +144.1%+431.2%
New ATHs Hit 5 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.02%4.95%
Biggest Jump (1 Day) % +0.80+1.13
Biggest Drop (1 Day) % -0.19-0.95
Days Above Avg % 40.8%40.0%
Extreme Moves days 2 (1.4%)3 (0.9%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%57.3%
Recent Momentum (10-day) % +17.36%-42.82%
📊 Statistical Measures
Average Price 0.980.88
Median Price 0.800.79
Price Std Deviation 0.310.61
🚀 Returns & Growth
CAGR % +500.35%-56.60%
Annualized Return % +500.35%-56.60%
Total Return % +99.85%-54.46%
⚠️ Risk & Volatility
Daily Volatility % 9.33%13.98%
Annualized Volatility % 178.29%267.03%
Max Drawdown % -35.71%-92.67%
Sharpe Ratio 0.0860.027
Sortino Ratio 0.1830.054
Calmar Ratio 14.010-0.611
Ulcer Index 15.6363.71
📅 Daily Performance
Win Rate % 53.9%42.6%
Positive Days 76146
Negative Days 65197
Best Day % +96.86%+212.20%
Worst Day % -11.55%-48.07%
Avg Gain (Up Days) % +4.54%+6.98%
Avg Loss (Down Days) % -3.57%-4.53%
Profit Factor 1.491.14
🔥 Streaks & Patterns
Longest Win Streak days 712
Longest Loss Streak days 79
💹 Trading Metrics
Omega Ratio 1.4871.144
Expectancy % +0.80%+0.37%
Kelly Criterion % 4.94%1.18%
📅 Weekly Performance
Best Week % +65.71%+750.65%
Worst Week % -12.64%-28.12%
Weekly Win Rate % 72.7%38.5%
📆 Monthly Performance
Best Month % +65.54%+570.16%
Worst Month % -2.55%-68.94%
Monthly Win Rate % 66.7%30.8%
🔧 Technical Indicators
RSI (14-period) 60.0732.37
Price vs 50-Day MA % +17.85%-16.85%
Price vs 200-Day MA % N/A+49.43%
💰 Volume Analysis
Avg Volume 21,682,96423,102,059
Total Volume 3,078,980,9147,970,210,221

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 APEX (APEX): 0.459 (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
APEX: Bybit