ACM ACM / NVDAX Crypto vs PYTH PYTH / 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 ACM / NVDAXPYTH / USD
📈 Performance Metrics
Start Price 0.000.52
End Price 0.000.07
Price Change % -39.14%-86.82%
Period High 0.010.52
Period Low 0.000.07
Price Range % 138.1%672.6%
🏆 All-Time Records
All-Time High 0.010.52
Days Since ATH 91 days342 days
Distance From ATH % -53.4%-86.9%
All-Time Low 0.000.07
Distance From ATL % +10.8%+1.0%
New ATHs Hit 7 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.95%4.70%
Biggest Jump (1 Day) % +0.00+0.11
Biggest Drop (1 Day) % 0.00-0.09
Days Above Avg % 72.5%29.4%
Extreme Moves days 7 (5.1%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 54.0%53.1%
Recent Momentum (10-day) % +4.43%-8.34%
📊 Statistical Measures
Average Price 0.000.18
Median Price 0.000.15
Price Std Deviation 0.000.10
🚀 Returns & Growth
CAGR % -73.36%-88.42%
Annualized Return % -73.36%-88.42%
Total Return % -39.14%-86.82%
⚠️ Risk & Volatility
Daily Volatility % 4.86%8.02%
Annualized Volatility % 92.81%153.20%
Max Drawdown % -58.00%-87.06%
Sharpe Ratio -0.048-0.040
Sortino Ratio -0.044-0.051
Calmar Ratio -1.265-1.016
Ulcer Index 29.7568.48
📅 Daily Performance
Win Rate % 46.0%46.9%
Positive Days 63161
Negative Days 74182
Best Day % +15.08%+99.34%
Worst Day % -34.14%-32.57%
Avg Gain (Up Days) % +2.96%+4.67%
Avg Loss (Down Days) % -2.95%-4.73%
Profit Factor 0.850.87
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 0.8540.873
Expectancy % -0.23%-0.32%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +26.15%+65.86%
Worst Week % -8.10%-27.08%
Weekly Win Rate % 47.6%50.0%
📆 Monthly Performance
Best Month % +11.29%+65.32%
Worst Month % -9.56%-32.91%
Monthly Win Rate % 71.4%38.5%
🔧 Technical Indicators
RSI (14-period) 53.6644.43
Price vs 50-Day MA % -15.06%-35.30%
Price vs 200-Day MA % N/A-45.92%
💰 Volume Analysis
Avg Volume 10,8671,909,901
Total Volume 1,499,703657,005,898

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).

ACM (ACM) vs PYTH (PYTH): 0.650 (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

ACM: Binance
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures