PYTH PYTH / STREAM 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 / STREAMAPEX / USD
📈 Performance Metrics
Start Price 2.711.55
End Price 4.340.83
Price Change % +60.11%-46.43%
Period High 10.642.32
Period Low 0.690.15
Price Range % 1,449.7%1,491.4%
🏆 All-Time Records
All-Time High 10.642.32
Days Since ATH 161 days13 days
Distance From ATH % -59.3%-64.1%
All-Time Low 0.690.15
Distance From ATL % +531.1%+471.4%
New ATHs Hit 31 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.55%4.97%
Biggest Jump (1 Day) % +2.28+1.13
Biggest Drop (1 Day) % -1.74-0.95
Days Above Avg % 35.3%40.9%
Extreme Moves days 13 (4.3%)3 (0.9%)
Stability Score % 0.0%0.0%
Trend Strength % 51.5%57.3%
Recent Momentum (10-day) % +53.38%-54.04%
📊 Statistical Measures
Average Price 3.720.90
Median Price 2.890.80
Price Std Deviation 2.090.61
🚀 Returns & Growth
CAGR % +75.65%-48.43%
Annualized Return % +75.65%-48.43%
Total Return % +60.11%-46.43%
⚠️ Risk & Volatility
Daily Volatility % 10.60%13.99%
Annualized Volatility % 202.48%267.20%
Max Drawdown % -93.55%-92.67%
Sharpe Ratio 0.0620.030
Sortino Ratio 0.0770.061
Calmar Ratio 0.809-0.523
Ulcer Index 60.8463.11
📅 Daily Performance
Win Rate % 51.5%42.6%
Positive Days 157146
Negative Days 148197
Best Day % +96.44%+212.20%
Worst Day % -34.50%-48.07%
Avg Gain (Up Days) % +7.07%+7.09%
Avg Loss (Down Days) % -6.15%-4.52%
Profit Factor 1.221.16
🔥 Streaks & Patterns
Longest Win Streak days 1712
Longest Loss Streak days 129
💹 Trading Metrics
Omega Ratio 1.2181.163
Expectancy % +0.65%+0.42%
Kelly Criterion % 1.50%1.32%
📅 Weekly Performance
Best Week % +88.14%+750.65%
Worst Week % -53.48%-28.12%
Weekly Win Rate % 58.7%42.3%
📆 Monthly Performance
Best Month % +247.09%+570.16%
Worst Month % -76.18%-68.94%
Monthly Win Rate % 50.0%30.8%
🔧 Technical Indicators
RSI (14-period) 78.0225.82
Price vs 50-Day MA % +40.47%-3.58%
Price vs 200-Day MA % +31.03%+61.28%
💰 Volume Analysis
Avg Volume 41,458,49224,028,909
Total Volume 12,686,298,5058,289,973,567

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): 0.389 (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
ByBit Futures Trading Trade hundreds of crypto perpetual futures