PYTH PYTH / DEEP Crypto vs ROOT ROOT / DEEP 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 / DEEPROOT / DEEP

📈 Performance Metrics

Start Price 0.780.03

End Price 1.580.04

Price Change % +103.82%+28.24%

Period High 1.640.04

Period Low 0.640.01

Price Range % 157.1%320.9%

🏆 All-Time Records

All-Time High 1.640.04

Days Since ATH 10 days0 days

Distance From ATH % -3.2%+0.0%

All-Time Low 0.640.01

Distance From ATL % +149.0%+320.9%

New ATHs Hit 5 times7 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.95%6.47%

Biggest Jump (1 Day) % +0.80+0.02

Biggest Drop (1 Day) % -0.19-0.01

Days Above Avg % 41.7%41.0%

Extreme Moves days 2 (1.4%)4 (2.8%)

Stability Score % 0.0%0.0%

Trend Strength % 54.5%45.5%

Recent Momentum (10-day) % +9.89%+43.16%

📊 Statistical Measures

Average Price 0.990.02

Median Price 0.800.02

Price Std Deviation 0.310.01

🚀 Returns & Growth

CAGR % +515.64%+88.68%

Annualized Return % +515.64%+88.68%

Total Return % +103.82%+28.24%

⚠️ Risk & Volatility

Daily Volatility % 9.27%13.62%

Annualized Volatility % 177.04%260.26%

Max Drawdown % -35.71%-76.06%

Sharpe Ratio 0.0870.063

Sortino Ratio 0.1820.124

Calmar Ratio 14.4381.166

Ulcer Index 15.5248.65

📅 Daily Performance

Win Rate % 54.9%45.5%

Positive Days 7865

Negative Days 6478

Best Day % +96.86%+102.22%

Worst Day % -11.55%-19.29%

Avg Gain (Up Days) % +4.45%+8.51%

Avg Loss (Down Days) % -3.63%-5.53%

Profit Factor 1.501.28

🔥 Streaks & Patterns

Longest Win Streak days 74

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 1.4961.283

Expectancy % +0.81%+0.85%

Kelly Criterion % 5.02%1.82%

📅 Weekly Performance

Best Week % +65.71%+238.27%

Worst Week % -12.64%-34.38%

Weekly Win Rate % 69.6%43.5%

📆 Monthly Performance

Best Month % +65.54%+244.66%

Worst Month % -2.55%-28.23%

Monthly Win Rate % 66.7%16.7%

🔧 Technical Indicators

RSI (14-period) 65.7386.26

Price vs 50-Day MA % +18.90%+157.58%

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 ROOT (ROOT):	-0.555 (Moderate negative)

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
ROOT: Bybit