ALGO ALGO / USD Crypto vs MATH MATH / USD 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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🤖 AI Analysis

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Asset ALGO / USDMATH / USD
📈 Performance Metrics
Start Price 0.210.28
End Price 0.140.05
Price Change % -32.57%-81.88%
Period High 0.510.39
Period Low 0.140.05
Price Range % 253.7%676.9%
🏆 All-Time Records
All-Time High 0.510.39
Days Since ATH 327 days325 days
Distance From ATH % -71.6%-87.1%
All-Time Low 0.140.05
Distance From ATL % +0.4%+0.0%
New ATHs Hit 10 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.33%3.36%
Biggest Jump (1 Day) % +0.12+0.04
Biggest Drop (1 Day) % -0.08-0.04
Days Above Avg % 36.0%31.8%
Extreme Moves days 18 (5.2%)10 (2.9%)
Stability Score % 0.0%0.0%
Trend Strength % 48.7%55.3%
Recent Momentum (10-day) % -8.29%-6.30%
📊 Statistical Measures
Average Price 0.260.15
Median Price 0.230.12
Price Std Deviation 0.080.07
🚀 Returns & Growth
CAGR % -34.26%-83.84%
Annualized Return % -34.26%-83.84%
Total Return % -32.57%-81.88%
⚠️ Risk & Volatility
Daily Volatility % 5.84%4.82%
Annualized Volatility % 111.62%91.99%
Max Drawdown % -71.73%-87.13%
Sharpe Ratio 0.009-0.080
Sortino Ratio 0.010-0.086
Calmar Ratio -0.478-0.962
Ulcer Index 51.8764.07
📅 Daily Performance
Win Rate % 51.3%44.4%
Positive Days 176151
Negative Days 167189
Best Day % +36.95%+35.84%
Worst Day % -19.82%-25.52%
Avg Gain (Up Days) % +4.07%+3.36%
Avg Loss (Down Days) % -4.18%-3.38%
Profit Factor 1.030.79
🔥 Streaks & Patterns
Longest Win Streak days 119
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 1.0250.794
Expectancy % +0.05%-0.39%
Kelly Criterion % 0.30%0.00%
📅 Weekly Performance
Best Week % +87.54%+24.61%
Worst Week % -22.48%-19.41%
Weekly Win Rate % 44.2%42.3%
📆 Monthly Performance
Best Month % +106.88%+17.26%
Worst Month % -31.62%-24.24%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 25.6041.31
Price vs 50-Day MA % -27.68%-35.29%
Price vs 200-Day MA % -33.54%-51.60%
💰 Volume Analysis
Avg Volume 7,910,1702,345,787
Total Volume 2,721,098,542804,604,959

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).

ALGO (ALGO) vs MATH (MATH): 0.860 (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

ALGO: Kraken
MATH: Coinbase