PYTH PYTH / ANKR Crypto vs PYTH PYTH / ANKR 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 / ANKRPYTH / ANKR
📈 Performance Metrics
Start Price 8.828.82
End Price 9.279.27
Price Change % +5.08%+5.08%
Period High 14.5714.57
Period Low 6.476.47
Price Range % 125.3%125.3%
🏆 All-Time Records
All-Time High 14.5714.57
Days Since ATH 77 days77 days
Distance From ATH % -36.4%-36.4%
All-Time Low 6.476.47
Distance From ATL % +43.3%+43.3%
New ATHs Hit 6 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.66%2.66%
Biggest Jump (1 Day) % +6.98+6.98
Biggest Drop (1 Day) % -1.58-1.58
Days Above Avg % 48.0%48.0%
Extreme Moves days 4 (1.2%)4 (1.2%)
Stability Score % 32.5%32.5%
Trend Strength % 48.7%48.7%
Recent Momentum (10-day) % -3.58%-3.58%
📊 Statistical Measures
Average Price 8.888.88
Median Price 8.768.76
Price Std Deviation 1.481.48
🚀 Returns & Growth
CAGR % +5.41%+5.41%
Annualized Return % +5.41%+5.41%
Total Return % +5.08%+5.08%
⚠️ Risk & Volatility
Daily Volatility % 6.00%6.00%
Annualized Volatility % 114.64%114.64%
Max Drawdown % -40.38%-40.38%
Sharpe Ratio 0.0250.025
Sortino Ratio 0.0460.046
Calmar Ratio 0.1340.134
Ulcer Index 25.7325.73
📅 Daily Performance
Win Rate % 48.7%48.7%
Positive Days 167167
Negative Days 176176
Best Day % +91.89%+91.89%
Worst Day % -11.10%-11.10%
Avg Gain (Up Days) % +2.89%+2.89%
Avg Loss (Down Days) % -2.45%-2.45%
Profit Factor 1.121.12
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.1181.118
Expectancy % +0.15%+0.15%
Kelly Criterion % 2.10%2.10%
📅 Weekly Performance
Best Week % +59.74%+59.74%
Worst Week % -8.84%-8.84%
Weekly Win Rate % 59.6%59.6%
📆 Monthly Performance
Best Month % +67.94%+67.94%
Worst Month % -20.14%-20.14%
Monthly Win Rate % 61.5%61.5%
🔧 Technical Indicators
RSI (14-period) 48.5648.56
Price vs 50-Day MA % -10.27%-10.27%
Price vs 200-Day MA % +6.50%+6.50%
💰 Volume Analysis
Avg Volume 119,669,123119,669,123
Total Volume 41,166,178,39241,166,178,392

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 PYTH (PYTH): 1.000 (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
PYTH: Kraken