PYTH PYTH / BNB Crypto vs ACM ACM / 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 / BNBACM / USD
📈 Performance Metrics
Start Price 0.001.96
End Price 0.000.56
Price Change % -65.65%-71.31%
Period High 0.002.07
Period Low 0.000.52
Price Range % 263.0%296.4%
🏆 All-Time Records
All-Time High 0.002.07
Days Since ATH 186 days339 days
Distance From ATH % -72.4%-72.9%
All-Time Low 0.000.52
Distance From ATL % +0.0%+7.5%
New ATHs Hit 5 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.81%2.93%
Biggest Jump (1 Day) % +0.00+0.26
Biggest Drop (1 Day) % 0.00-0.27
Days Above Avg % 43.9%32.0%
Extreme Moves days 4 (2.0%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 54.4%51.3%
Recent Momentum (10-day) % -7.91%+3.78%
📊 Statistical Measures
Average Price 0.000.99
Median Price 0.000.91
Price Std Deviation 0.000.31
🚀 Returns & Growth
CAGR % -85.22%-73.52%
Annualized Return % -85.22%-73.52%
Total Return % -65.65%-71.31%
⚠️ Risk & Volatility
Daily Volatility % 8.07%4.46%
Annualized Volatility % 154.24%85.15%
Max Drawdown % -72.45%-74.77%
Sharpe Ratio -0.035-0.059
Sortino Ratio -0.058-0.060
Calmar Ratio -1.176-0.983
Ulcer Index 46.6654.36
📅 Daily Performance
Win Rate % 45.6%47.3%
Positive Days 93158
Negative Days 111176
Best Day % +95.23%+27.66%
Worst Day % -19.57%-29.15%
Avg Gain (Up Days) % +3.82%+2.77%
Avg Loss (Down Days) % -3.72%-3.00%
Profit Factor 0.860.83
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 0.8620.829
Expectancy % -0.28%-0.27%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +62.43%+27.70%
Worst Week % -16.28%-18.97%
Weekly Win Rate % 35.5%48.1%
📆 Monthly Performance
Best Month % +45.76%+26.44%
Worst Month % -28.90%-23.84%
Monthly Win Rate % 22.2%38.5%
🔧 Technical Indicators
RSI (14-period) 27.2062.92
Price vs 50-Day MA % -25.50%-14.95%
Price vs 200-Day MA % -50.28%-32.85%

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 ACM (ACM): 0.576 (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
ACM: Binance