PYTH PYTH / BNC Crypto vs ALEPH ALEPH / 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 / BNCALEPH / USD
📈 Performance Metrics
Start Price 2.130.16
End Price 0.990.05
Price Change % -53.66%-71.28%
Period High 2.200.21
Period Low 0.730.04
Price Range % 202.0%374.5%
🏆 All-Time Records
All-Time High 2.200.21
Days Since ATH 57 days318 days
Distance From ATH % -55.1%-77.9%
All-Time Low 0.730.04
Distance From ATL % +35.5%+4.7%
New ATHs Hit 2 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.08%4.04%
Biggest Jump (1 Day) % +1.11+0.03
Biggest Drop (1 Day) % -0.52-0.02
Days Above Avg % 40.4%30.4%
Extreme Moves days 7 (2.0%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 51.9%55.7%
Recent Momentum (10-day) % -15.16%-20.65%
📊 Statistical Measures
Average Price 1.230.09
Median Price 1.140.07
Price Std Deviation 0.310.04
🚀 Returns & Growth
CAGR % -55.89%-73.69%
Annualized Return % -55.89%-73.69%
Total Return % -53.66%-71.28%
⚠️ Risk & Volatility
Daily Volatility % 7.73%5.98%
Annualized Volatility % 147.77%114.30%
Max Drawdown % -66.50%-78.93%
Sharpe Ratio 0.003-0.032
Sortino Ratio 0.003-0.038
Calmar Ratio -0.841-0.934
Ulcer Index 45.7861.00
📅 Daily Performance
Win Rate % 48.1%43.1%
Positive Days 165144
Negative Days 178190
Best Day % +102.96%+43.92%
Worst Day % -32.37%-23.32%
Avg Gain (Up Days) % +4.22%+4.65%
Avg Loss (Down Days) % -3.87%-3.87%
Profit Factor 1.010.91
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 810
💹 Trading Metrics
Omega Ratio 1.0100.910
Expectancy % +0.02%-0.20%
Kelly Criterion % 0.12%0.00%
📅 Weekly Performance
Best Week % +76.91%+47.15%
Worst Week % -26.42%-26.29%
Weekly Win Rate % 40.4%42.3%
📆 Monthly Performance
Best Month % +81.59%+48.98%
Worst Month % -22.30%-30.12%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 49.4024.39
Price vs 50-Day MA % -31.23%-30.45%
Price vs 200-Day MA % -13.56%-30.58%
💰 Volume Analysis
Avg Volume 15,276,7103,840,838
Total Volume 5,255,188,4041,313,566,579

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 ALEPH (ALEPH): 0.688 (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
ALEPH: Coinbase
ByBit Futures Trading Trade hundreds of crypto perpetual futures