PYTH PYTH / M Crypto vs ACM ACM / M Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / MACM / M
📈 Performance Metrics
Start Price 1.9014.05
End Price 0.050.26
Price Change % -97.61%-98.17%
Period High 1.9014.20
Period Low 0.040.23
Price Range % 5,025.3%6,038.6%
🏆 All-Time Records
All-Time High 1.9014.20
Days Since ATH 109 days108 days
Distance From ATH % -97.6%-98.2%
All-Time Low 0.040.23
Distance From ATL % +22.4%+10.9%
New ATHs Hit 0 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 15.14%14.03%
Biggest Jump (1 Day) % +0.27+0.60
Biggest Drop (1 Day) % -0.54-3.88
Days Above Avg % 46.4%46.4%
Extreme Moves days 5 (4.6%)6 (5.5%)
Stability Score % 0.0%0.0%
Trend Strength % 48.6%48.6%
Recent Momentum (10-day) % -41.90%-37.77%
📊 Statistical Measures
Average Price 0.251.79
Median Price 0.211.60
Price Std Deviation 0.302.31
🚀 Returns & Growth
CAGR % -100.00%-100.00%
Annualized Return % -100.00%-100.00%
Total Return % -97.61%-98.17%
⚠️ Risk & Volatility
Daily Volatility % 17.88%14.78%
Annualized Volatility % 341.54%282.44%
Max Drawdown % -98.05%-98.37%
Sharpe Ratio -0.101-0.164
Sortino Ratio -0.098-0.138
Calmar Ratio -1.020-1.017
Ulcer Index 88.2988.87
📅 Daily Performance
Win Rate % 51.4%51.4%
Positive Days 5656
Negative Days 5353
Best Day % +98.26%+45.05%
Worst Day % -47.38%-44.98%
Avg Gain (Up Days) % +10.02%+8.10%
Avg Loss (Down Days) % -14.30%-13.54%
Profit Factor 0.740.63
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.7400.633
Expectancy % -1.81%-2.42%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +34.77%+59.17%
Worst Week % -67.88%-71.99%
Weekly Win Rate % 55.6%38.9%
📆 Monthly Performance
Best Month % +12.28%+10.71%
Worst Month % -84.91%-83.21%
Monthly Win Rate % 40.0%20.0%
🔧 Technical Indicators
RSI (14-period) 29.7426.55
Price vs 50-Day MA % -38.81%-38.37%

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): 0.990 (Strong 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
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