PYTH PYTH / ALGO Crypto vs BLUR BLUR / 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

Model:

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

Asset PYTH / ALGOBLUR / ALGO

📈 Performance Metrics

Start Price 1.120.84

End Price 0.540.28

Price Change % -51.94%-66.91%

Period High 1.190.93

Period Low 0.410.25

Price Range % 194.6%269.0%

🏆 All-Time Records

All-Time High 1.190.93

Days Since ATH 327 days338 days

Distance From ATH % -54.9%-70.3%

All-Time Low 0.410.25

Distance From ATL % +32.8%+9.5%

New ATHs Hit 2 times2 times

📌 Easy-to-Understand Stats

Avg Daily Change % 2.86%2.34%

Biggest Jump (1 Day) % +0.44+0.12

Biggest Drop (1 Day) % -0.12-0.07

Days Above Avg % 50.6%51.2%

Extreme Moves days 6 (1.7%)15 (4.4%)

Stability Score % 0.0%0.0%

Trend Strength % 54.2%50.4%

Recent Momentum (10-day) % -5.25%+4.63%

📊 Statistical Measures

Average Price 0.700.47

Median Price 0.710.47

Price Std Deviation 0.170.15

🚀 Returns & Growth

CAGR % -54.14%-69.18%

Annualized Return % -54.14%-69.18%

Total Return % -51.94%-66.91%

⚠️ Risk & Volatility

Daily Volatility % 6.40%3.20%

Annualized Volatility % 122.25%61.19%

Max Drawdown % -66.06%-72.90%

Sharpe Ratio -0.009-0.084

Sortino Ratio -0.016-0.079

Calmar Ratio -0.820-0.949

Ulcer Index 43.4252.26

📅 Daily Performance

Win Rate % 45.6%49.4%

Positive Days 156169

Negative Days 186173

Best Day % +94.89%+15.76%

Worst Day % -15.91%-16.46%

Avg Gain (Up Days) % +3.06%+1.97%

Avg Loss (Down Days) % -2.68%-2.46%

Profit Factor 0.960.78

🔥 Streaks & Patterns

Longest Win Streak days 66

Longest Loss Streak days 106

💹 Trading Metrics

Omega Ratio 0.9600.783

Expectancy % -0.06%-0.27%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +76.23%+14.28%

Worst Week % -17.04%-17.67%

Weekly Win Rate % 50.0%48.1%

📆 Monthly Performance

Best Month % +68.82%+14.19%

Worst Month % -21.88%-26.14%

Monthly Win Rate % 30.8%23.1%

🔧 Technical Indicators

RSI (14-period) 45.5863.78

Price vs 50-Day MA % -13.53%-8.00%

Price vs 200-Day MA % -10.34%-26.23%

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 BLUR (BLUR):	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

PYTH: Kraken
BLUR: Kraken