PYTH PYTH / MIM Crypto vs ACM ACM / MIM 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 / MIMACM / MIM
📈 Performance Metrics
Start Price 26.44227.18
End Price 149.191,112.02
Price Change % +464.34%+389.50%
Period High 186.941,224.54
Period Low 26.44227.18
Price Range % 607.2%439.0%
🏆 All-Time Records
All-Time High 186.941,224.54
Days Since ATH 13 days10 days
Distance From ATH % -20.2%-9.2%
All-Time Low 26.44227.18
Distance From ATL % +464.3%+389.5%
New ATHs Hit 16 times26 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.64%6.41%
Biggest Jump (1 Day) % +63.34+186.23
Biggest Drop (1 Day) % -27.07-156.49
Days Above Avg % 47.9%35.1%
Extreme Moves days 1 (1.1%)5 (5.4%)
Stability Score % 85.4%98.7%
Trend Strength % 54.8%58.1%
Recent Momentum (10-day) % -7.06%+7.83%
📊 Statistical Measures
Average Price 104.17648.62
Median Price 103.05544.00
Price Std Deviation 42.07268.86
🚀 Returns & Growth
CAGR % +88,943.76%+50,842.07%
Annualized Return % +88,943.76%+50,842.07%
Total Return % +464.34%+389.50%
⚠️ Risk & Volatility
Daily Volatility % 15.18%8.36%
Annualized Volatility % 290.06%159.72%
Max Drawdown % -33.29%-31.64%
Sharpe Ratio 0.1750.247
Sortino Ratio 0.3790.292
Calmar Ratio 2,671.5671,607.100
Ulcer Index 15.2314.15
📅 Daily Performance
Win Rate % 55.4%58.1%
Positive Days 5154
Negative Days 4139
Best Day % +127.80%+26.68%
Worst Day % -23.61%-21.06%
Avg Gain (Up Days) % +9.19%+7.45%
Avg Loss (Down Days) % -5.41%-5.40%
Profit Factor 2.111.91
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 2.1131.911
Expectancy % +2.68%+2.06%
Kelly Criterion % 5.40%5.12%
📅 Weekly Performance
Best Week % +88.35%+59.15%
Worst Week % -20.74%-21.98%
Weekly Win Rate % 68.8%87.5%
📆 Monthly Performance
Best Month % +238.01%+100.63%
Worst Month % -13.21%-7.45%
Monthly Win Rate % 60.0%60.0%
🔧 Technical Indicators
RSI (14-period) 42.7653.47
Price vs 50-Day MA % +11.66%+33.75%

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): 0.937 (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
ByBit Futures Trading Trade hundreds of crypto perpetual futures