PYTH PYTH / DASH Crypto vs ALGO ALGO / USD 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / DASHALGO / USD

📈 Performance Metrics

Start Price 0.020.12

End Price 0.000.16

Price Change % -95.12%+28.52%

Period High 0.020.51

Period Low 0.000.12

Price Range % 2,168.9%315.4%

🏆 All-Time Records

All-Time High 0.020.51

Days Since ATH 342 days313 days

Distance From ATH % -95.2%-69.1%

All-Time Low 0.000.12

Distance From ATL % +9.1%+28.5%

New ATHs Hit 1 times18 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.51%4.41%

Biggest Jump (1 Day) % +0.00+0.12

Biggest Drop (1 Day) % 0.00-0.08

Days Above Avg % 38.4%36.0%

Extreme Moves days 7 (2.0%)17 (5.0%)

Stability Score % 0.0%0.0%

Trend Strength % 58.0%52.5%

Recent Momentum (10-day) % -61.05%-16.25%

📊 Statistical Measures

Average Price 0.010.26

Median Price 0.010.23

Price Std Deviation 0.000.08

🚀 Returns & Growth

CAGR % -95.98%+30.60%

Annualized Return % -95.98%+30.60%

Total Return % -95.12%+28.52%

⚠️ Risk & Volatility

Daily Volatility % 8.19%6.09%

Annualized Volatility % 156.41%116.38%

Max Drawdown % -95.59%-69.76%

Sharpe Ratio -0.0630.041

Sortino Ratio -0.0730.046

Calmar Ratio -1.0040.439

Ulcer Index 59.6950.05

📅 Daily Performance

Win Rate % 42.0%52.5%

Positive Days 144180

Negative Days 199163

Best Day % +99.69%+36.95%

Worst Day % -69.77%-19.82%

Avg Gain (Up Days) % +3.83%+4.29%

Avg Loss (Down Days) % -3.66%-4.21%

Profit Factor 0.761.13

🔥 Streaks & Patterns

Longest Win Streak days 511

Longest Loss Streak days 87

💹 Trading Metrics

Omega Ratio 0.7561.126

Expectancy % -0.52%+0.25%

Kelly Criterion % 0.00%1.40%

📅 Weekly Performance

Best Week % +52.41%+87.54%

Worst Week % -30.54%-22.48%

Weekly Win Rate % 44.2%46.2%

📆 Monthly Performance

Best Month % +42.76%+261.72%

Worst Month % -43.72%-31.62%

Monthly Win Rate % 15.4%38.5%

🔧 Technical Indicators

RSI (14-period) 21.1821.66

Price vs 50-Day MA % -85.89%-28.03%

Price vs 200-Day MA % -85.72%-27.84%

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 ALGO (ALGO):	0.320 (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

PYTH: Kraken
ALGO: Kraken