M M / ALGO Crypto vs PYTH PYTH / ALGO 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 M / ALGOPYTH / ALGO
📈 Performance Metrics
Start Price 0.301.05
End Price 11.680.50
Price Change % +3,793.11%-52.27%
Period High 15.771.19
Period Low 0.300.41
Price Range % 5,156.9%194.6%
🏆 All-Time Records
All-Time High 15.771.19
Days Since ATH 38 days339 days
Distance From ATH % -25.9%-58.0%
All-Time Low 0.300.41
Distance From ATL % +3,793.1%+23.7%
New ATHs Hit 23 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.43%2.78%
Biggest Jump (1 Day) % +3.96+0.44
Biggest Drop (1 Day) % -4.38-0.12
Days Above Avg % 54.6%54.7%
Extreme Moves days 11 (7.9%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%55.1%
Recent Momentum (10-day) % -8.80%-3.21%
📊 Statistical Measures
Average Price 6.960.69
Median Price 8.420.70
Price Std Deviation 5.020.16
🚀 Returns & Growth
CAGR % +1,399,906.15%-54.48%
Annualized Return % +1,399,906.15%-54.48%
Total Return % +3,793.11%-52.27%
⚠️ Risk & Volatility
Daily Volatility % 16.44%6.35%
Annualized Volatility % 314.10%121.39%
Max Drawdown % -66.31%-66.06%
Sharpe Ratio 0.232-0.010
Sortino Ratio 0.382-0.017
Calmar Ratio 21,112.514-0.825
Ulcer Index 33.7344.67
📅 Daily Performance
Win Rate % 50.7%44.9%
Positive Days 71154
Negative Days 69189
Best Day % +86.01%+94.89%
Worst Day % -34.28%-15.91%
Avg Gain (Up Days) % +14.27%+3.01%
Avg Loss (Down Days) % -6.93%-2.57%
Profit Factor 2.120.96
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 610
💹 Trading Metrics
Omega Ratio 2.1180.955
Expectancy % +3.82%-0.06%
Kelly Criterion % 3.86%0.00%
📅 Weekly Performance
Best Week % +158.32%+76.23%
Worst Week % -25.18%-17.04%
Weekly Win Rate % 50.0%48.1%
📆 Monthly Performance
Best Month % +445.99%+68.82%
Worst Month % -22.94%-21.88%
Monthly Win Rate % 66.7%30.8%
🔧 Technical Indicators
RSI (14-period) 69.5135.96
Price vs 50-Day MA % -2.20%-12.84%
Price vs 200-Day MA % N/A-14.95%

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).

M (M) vs PYTH (PYTH): 0.393 (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

M: Kraken
PYTH: Kraken