PYTH PYTH / ASM 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 / ASMACM / USD
📈 Performance Metrics
Start Price 12.581.58
End Price 8.280.59
Price Change % -34.18%-62.79%
Period High 15.772.07
Period Low 2.740.56
Price Range % 475.3%268.9%
🏆 All-Time Records
All-Time High 15.772.07
Days Since ATH 309 days317 days
Distance From ATH % -47.5%-71.7%
All-Time Low 2.740.56
Distance From ATL % +202.0%+4.3%
New ATHs Hit 6 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.08%2.89%
Biggest Jump (1 Day) % +6.12+0.26
Biggest Drop (1 Day) % -4.35-0.27
Days Above Avg % 34.3%31.7%
Extreme Moves days 10 (2.9%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 48.7%51.6%
Recent Momentum (10-day) % -14.14%-28.53%
📊 Statistical Measures
Average Price 7.601.06
Median Price 6.280.93
Price Std Deviation 2.830.33
🚀 Returns & Growth
CAGR % -35.92%-65.08%
Annualized Return % -35.92%-65.08%
Total Return % -34.18%-62.79%
⚠️ Risk & Volatility
Daily Volatility % 9.89%4.47%
Annualized Volatility % 189.03%85.45%
Max Drawdown % -82.62%-72.89%
Sharpe Ratio 0.035-0.042
Sortino Ratio 0.040-0.043
Calmar Ratio -0.435-0.893
Ulcer Index 54.6851.07
📅 Daily Performance
Win Rate % 51.3%47.2%
Positive Days 176158
Negative Days 167177
Best Day % +103.92%+27.66%
Worst Day % -61.34%-29.15%
Avg Gain (Up Days) % +5.64%+2.87%
Avg Loss (Down Days) % -5.23%-2.93%
Profit Factor 1.140.88
🔥 Streaks & Patterns
Longest Win Streak days 115
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.1370.876
Expectancy % +0.35%-0.19%
Kelly Criterion % 1.19%0.00%
📅 Weekly Performance
Best Week % +70.96%+27.70%
Worst Week % -40.09%-18.97%
Weekly Win Rate % 46.2%50.0%
📆 Monthly Performance
Best Month % +77.15%+26.44%
Worst Month % -53.93%-18.00%
Monthly Win Rate % 61.5%38.5%
🔧 Technical Indicators
RSI (14-period) 40.4321.53
Price vs 50-Day MA % -7.70%-28.67%
Price vs 200-Day MA % +19.44%-32.10%

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): 0.654 (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