PYTH PYTH / ACM Crypto vs MIR MIR / ACM 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 / ACMMIR / ACM
📈 Performance Metrics
Start Price 0.250.01
End Price 0.170.02
Price Change % -33.30%+88.39%
Period High 0.290.02
Period Low 0.110.01
Price Range % 172.3%176.1%
🏆 All-Time Records
All-Time High 0.290.02
Days Since ATH 318 days329 days
Distance From ATH % -42.4%-31.8%
All-Time Low 0.110.01
Distance From ATL % +56.8%+88.4%
New ATHs Hit 7 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.41%5.33%
Biggest Jump (1 Day) % +0.12+0.01
Biggest Drop (1 Day) % -0.05-0.01
Days Above Avg % 43.9%54.1%
Extreme Moves days 5 (1.5%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 52.5%46.9%
Recent Momentum (10-day) % -1.73%+9.06%
📊 Statistical Measures
Average Price 0.180.02
Median Price 0.180.02
Price Std Deviation 0.040.00
🚀 Returns & Growth
CAGR % -35.01%+96.20%
Annualized Return % -35.01%+96.20%
Total Return % -33.30%+88.39%
⚠️ Risk & Volatility
Daily Volatility % 6.98%9.45%
Annualized Volatility % 133.38%180.54%
Max Drawdown % -63.27%-54.73%
Sharpe Ratio 0.0110.060
Sortino Ratio 0.0160.089
Calmar Ratio -0.5531.758
Ulcer Index 39.3928.84
📅 Daily Performance
Win Rate % 47.5%47.1%
Positive Days 163161
Negative Days 180181
Best Day % +96.26%+75.66%
Worst Day % -24.42%-29.94%
Avg Gain (Up Days) % +3.88%+6.31%
Avg Loss (Down Days) % -3.37%-4.54%
Profit Factor 1.041.24
🔥 Streaks & Patterns
Longest Win Streak days 73
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.0431.238
Expectancy % +0.08%+0.57%
Kelly Criterion % 0.59%2.00%
📅 Weekly Performance
Best Week % +70.10%+46.51%
Worst Week % -20.55%-26.34%
Weekly Win Rate % 51.9%42.3%
📆 Monthly Performance
Best Month % +58.98%+125.14%
Worst Month % -24.69%-28.33%
Monthly Win Rate % 30.8%53.8%
🔧 Technical Indicators
RSI (14-period) 34.4275.33
Price vs 50-Day MA % -8.37%+8.81%
Price vs 200-Day MA % +6.47%-1.82%

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 MIR (MIR): 0.187 (Weak)

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
MIR: Kraken
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