PYTH PYTH / MOVE Crypto vs PYTH PYTH / MOVE 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 / MOVEPYTH / MOVE
📈 Performance Metrics
Start Price 0.340.34
End Price 1.371.37
Price Change % +302.25%+302.25%
Period High 1.821.82
Period Low 0.280.28
Price Range % 556.4%556.4%
🏆 All-Time Records
All-Time High 1.821.82
Days Since ATH 42 days42 days
Distance From ATH % -24.6%-24.6%
All-Time Low 0.280.28
Distance From ATL % +395.2%+395.2%
New ATHs Hit 21 times21 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.79%3.79%
Biggest Jump (1 Day) % +0.88+0.88
Biggest Drop (1 Day) % -0.20-0.20
Days Above Avg % 50.0%50.0%
Extreme Moves days 4 (1.6%)4 (1.6%)
Stability Score % 0.0%0.0%
Trend Strength % 55.7%55.7%
Recent Momentum (10-day) % +4.08%+4.08%
📊 Statistical Measures
Average Price 0.760.76
Median Price 0.760.76
Price Std Deviation 0.340.34
🚀 Returns & Growth
CAGR % +644.91%+644.91%
Annualized Return % +644.91%+644.91%
Total Return % +302.25%+302.25%
⚠️ Risk & Volatility
Daily Volatility % 7.97%7.97%
Annualized Volatility % 152.23%152.23%
Max Drawdown % -49.12%-49.12%
Sharpe Ratio 0.1010.101
Sortino Ratio 0.1520.152
Calmar Ratio 13.12913.129
Ulcer Index 22.1922.19
📅 Daily Performance
Win Rate % 55.7%55.7%
Positive Days 141141
Negative Days 112112
Best Day % +94.77%+94.77%
Worst Day % -21.60%-21.60%
Avg Gain (Up Days) % +4.30%+4.30%
Avg Loss (Down Days) % -3.60%-3.60%
Profit Factor 1.501.50
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.5031.503
Expectancy % +0.80%+0.80%
Kelly Criterion % 5.17%5.17%
📅 Weekly Performance
Best Week % +63.80%+63.80%
Worst Week % -25.97%-25.97%
Weekly Win Rate % 67.6%67.6%
📆 Monthly Performance
Best Month % +76.80%+76.80%
Worst Month % -26.97%-26.97%
Monthly Win Rate % 70.0%70.0%
🔧 Technical Indicators
RSI (14-period) 59.1359.13
Price vs 50-Day MA % +4.64%+4.64%
Price vs 200-Day MA % +59.79%+59.79%

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