PYTH PYTH / JEFF 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.

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🤖 AI Analysis

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Asset PYTH / JEFFALGO / USD

📈 Performance Metrics

Start Price 38.130.19

End Price 72.410.16

Price Change % +89.89%-12.84%

Period High 155.040.51

Period Low 20.630.15

Price Range % 651.6%230.7%

🏆 All-Time Records

All-Time High 155.040.51

Days Since ATH 57 days321 days

Distance From ATH % -53.3%-68.3%

All-Time Low 20.630.15

Distance From ATL % +251.0%+4.9%

New ATHs Hit 22 times13 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.36%4.37%

Biggest Jump (1 Day) % +77.58+0.12

Biggest Drop (1 Day) % -30.65-0.08

Days Above Avg % 45.3%36.0%

Extreme Moves days 14 (4.1%)18 (5.2%)

Stability Score % 82.8%0.0%

Trend Strength % 50.1%48.1%

Recent Momentum (10-day) % +1.98%-11.62%

📊 Statistical Measures

Average Price 59.320.26

Median Price 56.930.23

Price Std Deviation 24.600.08

🚀 Returns & Growth

CAGR % +97.86%-13.61%

Annualized Return % +97.86%-13.61%

Total Return % +89.89%-12.84%

⚠️ Risk & Volatility

Daily Volatility % 10.19%5.93%

Annualized Volatility % 194.61%113.29%

Max Drawdown % -81.23%-69.76%

Sharpe Ratio 0.0650.022

Sortino Ratio 0.0810.024

Calmar Ratio 1.205-0.195

Ulcer Index 49.8651.03

📅 Daily Performance

Win Rate % 50.1%51.9%

Positive Days 172178

Negative Days 171165

Best Day % +100.15%+36.95%

Worst Day % -47.32%-19.82%

Avg Gain (Up Days) % +7.01%+4.16%

Avg Loss (Down Days) % -5.73%-4.21%

Profit Factor 1.231.06

🔥 Streaks & Patterns

Longest Win Streak days 711

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 1.2311.065

Expectancy % +0.66%+0.13%

Kelly Criterion % 1.64%0.75%

📅 Weekly Performance

Best Week % +69.95%+87.54%

Worst Week % -38.28%-22.48%

Weekly Win Rate % 57.7%44.2%

📆 Monthly Performance

Best Month % +135.78%+139.16%

Worst Month % -40.48%-31.62%

Monthly Win Rate % 61.5%38.5%

🔧 Technical Indicators

RSI (14-period) 61.5043.50

Price vs 50-Day MA % -17.08%-22.89%

Price vs 200-Day MA % +10.68%-25.95%

💰 Volume Analysis

Avg Volume 893,090,1418,315,837

Total Volume 307,223,008,6712,860,647,928

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):	0.209 (Weak)

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