PYTH PYTH / SHELL Crypto vs KEEP KEEP / SHELL 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / SHELLKEEP / SHELL
📈 Performance Metrics
Start Price 0.350.17
End Price 1.150.82
Price Change % +228.68%+378.97%
Period High 1.740.82
Period Low 0.350.17
Price Range % 397.4%379.7%
🏆 All-Time Records
All-Time High 1.740.82
Days Since ATH 70 days1 days
Distance From ATH % -33.9%-0.2%
All-Time Low 0.350.17
Distance From ATL % +228.7%+379.0%
New ATHs Hit 24 times25 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.40%5.04%
Biggest Jump (1 Day) % +0.78+0.25
Biggest Drop (1 Day) % -0.34-0.09
Days Above Avg % 38.2%55.1%
Extreme Moves days 5 (2.0%)10 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 56.1%56.1%
Recent Momentum (10-day) % +3.49%+19.06%
📊 Statistical Measures
Average Price 0.870.50
Median Price 0.780.51
Price Std Deviation 0.260.13
🚀 Returns & Growth
CAGR % +456.61%+858.22%
Annualized Return % +456.61%+858.22%
Total Return % +228.68%+378.97%
⚠️ Risk & Volatility
Daily Volatility % 8.07%7.10%
Annualized Volatility % 154.20%135.58%
Max Drawdown % -54.56%-58.38%
Sharpe Ratio 0.0920.122
Sortino Ratio 0.1210.137
Calmar Ratio 8.36914.701
Ulcer Index 32.0231.76
📅 Daily Performance
Win Rate % 56.1%56.1%
Positive Days 142142
Negative Days 111111
Best Day % +88.54%+46.18%
Worst Day % -26.12%-17.47%
Avg Gain (Up Days) % +4.72%+5.41%
Avg Loss (Down Days) % -4.34%-4.96%
Profit Factor 1.391.40
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 1.3911.396
Expectancy % +0.75%+0.86%
Kelly Criterion % 3.63%3.21%
📅 Weekly Performance
Best Week % +80.64%+29.42%
Worst Week % -13.74%-23.40%
Weekly Win Rate % 60.5%63.2%
📆 Monthly Performance
Best Month % +108.69%+83.27%
Worst Month % -18.10%-9.01%
Monthly Win Rate % 60.0%70.0%
🔧 Technical Indicators
RSI (14-period) 56.5269.32
Price vs 50-Day MA % +1.44%+30.33%
Price vs 200-Day MA % +26.26%+53.16%

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 KEEP (KEEP): 0.760 (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
KEEP: Kraken