PYTH PYTH / ALGO Crypto vs SAFE SAFE / 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 / ALGOSAFE / ALGO

📈 Performance Metrics

Start Price 3.259.70

End Price 0.571.25

Price Change % -82.39%-87.11%

Period High 3.259.70

Period Low 0.411.22

Price Range % 702.3%698.3%

🏆 All-Time Records

All-Time High 3.259.70

Days Since ATH 343 days343 days

Distance From ATH % -82.4%-87.1%

All-Time Low 0.411.22

Distance From ATL % +41.3%+2.9%

New ATHs Hit 0 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.77%4.24%

Biggest Jump (1 Day) % +0.44+1.05

Biggest Drop (1 Day) % -0.43-1.22

Days Above Avg % 25.6%31.7%

Extreme Moves days 8 (2.3%)19 (5.5%)

Stability Score % 0.0%0.0%

Trend Strength % 54.2%55.7%

Recent Momentum (10-day) % -11.91%-18.74%

📊 Statistical Measures

Average Price 0.812.44

Median Price 0.722.20

Price Std Deviation 0.431.11

🚀 Returns & Growth

CAGR % -84.24%-88.70%

Annualized Return % -84.24%-88.70%

Total Return % -82.39%-87.11%

⚠️ Risk & Volatility

Daily Volatility % 6.90%5.79%

Annualized Volatility % 131.87%110.64%

Max Drawdown % -87.54%-87.47%

Sharpe Ratio -0.045-0.074

Sortino Ratio -0.063-0.078

Calmar Ratio -0.962-1.014

Ulcer Index 76.2175.72

📅 Daily Performance

Win Rate % 45.8%44.3%

Positive Days 157152

Negative Days 186191

Best Day % +94.89%+37.17%

Worst Day % -26.08%-26.85%

Avg Gain (Up Days) % +3.22%+3.65%

Avg Loss (Down Days) % -3.30%-3.68%

Profit Factor 0.820.79

🔥 Streaks & Patterns

Longest Win Streak days 66

Longest Loss Streak days 107

💹 Trading Metrics

Omega Ratio 0.8250.790

Expectancy % -0.31%-0.43%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +76.23%+35.68%

Worst Week % -39.02%-38.31%

Weekly Win Rate % 48.1%44.2%

📆 Monthly Performance

Best Month % +68.82%+61.81%

Worst Month % -65.55%-71.68%

Monthly Win Rate % 30.8%38.5%

🔧 Technical Indicators

RSI (14-period) 21.3924.64

Price vs 50-Day MA % -18.57%-27.23%

Price vs 200-Day MA % -7.62%-39.48%

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 SAFE (SAFE):	0.941 (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
SAFE: Kraken