PYTH PYTH / USD Crypto vs MOVE MOVE / USD 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 / USDMOVE / USD

📈 Performance Metrics

Start Price 0.420.81

End Price 0.080.12

Price Change % -79.85%-85.34%

Period High 0.530.81

Period Low 0.080.10

Price Range % 525.3%695.5%

🏆 All-Time Records

All-Time High 0.530.81

Days Since ATH 328 days253 days

Distance From ATH % -84.0%-85.3%

All-Time Low 0.080.10

Distance From ATL % +0.0%+16.6%

New ATHs Hit 9 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.45%4.76%

Biggest Jump (1 Day) % +0.11+0.12

Biggest Drop (1 Day) % -0.09-0.10

Days Above Avg % 29.7%30.3%

Extreme Moves days 7 (2.0%)9 (3.6%)

Stability Score % 0.0%0.0%

Trend Strength % 50.7%52.6%

Recent Momentum (10-day) % -15.72%+0.33%

📊 Statistical Measures

Average Price 0.200.25

Median Price 0.150.17

Price Std Deviation 0.110.16

🚀 Returns & Growth

CAGR % -81.82%-93.73%

Annualized Return % -81.82%-93.73%

Total Return % -79.85%-85.34%

⚠️ Risk & Volatility

Daily Volatility % 8.00%6.16%

Annualized Volatility % 152.77%117.69%

Max Drawdown % -84.01%-87.43%

Sharpe Ratio -0.025-0.093

Sortino Ratio -0.031-0.097

Calmar Ratio -0.974-1.072

Ulcer Index 65.9071.52

📅 Daily Performance

Win Rate % 49.1%46.2%

Positive Days 168114

Negative Days 174133

Best Day % +99.34%+42.16%

Worst Day % -32.57%-24.88%

Avg Gain (Up Days) % +4.53%+4.06%

Avg Loss (Down Days) % -4.77%-4.57%

Profit Factor 0.920.76

🔥 Streaks & Patterns

Longest Win Streak days 76

Longest Loss Streak days 69

💹 Trading Metrics

Omega Ratio 0.9180.762

Expectancy % -0.20%-0.59%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+26.90%

Worst Week % -27.08%-28.35%

Weekly Win Rate % 51.9%35.1%

📆 Monthly Performance

Best Month % +65.32%+18.81%

Worst Month % -31.62%-39.87%

Monthly Win Rate % 38.5%20.0%

🔧 Technical Indicators

RSI (14-period) 46.0965.20

Price vs 50-Day MA % -38.75%-2.63%

Price vs 200-Day MA % -36.26%-34.85%

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 MOVE (MOVE):	0.661 (Moderate 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
MOVE: Kraken