PYTH PYTH / INIT Crypto vs IMX IMX / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / INITIMX / USD
📈 Performance Metrics
Start Price 0.211.24
End Price 0.770.42
Price Change % +266.62%-66.41%
Period High 0.822.13
Period Low 0.120.36
Price Range % 602.4%492.2%
🏆 All-Time Records
All-Time High 0.822.13
Days Since ATH 3 days320 days
Distance From ATH % -7.2%-80.4%
All-Time Low 0.120.36
Distance From ATL % +551.8%+16.0%
New ATHs Hit 19 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.71%4.55%
Biggest Jump (1 Day) % +0.31+0.17
Biggest Drop (1 Day) % -0.07-0.34
Days Above Avg % 31.3%28.5%
Extreme Moves days 7 (3.9%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.6%51.9%
Recent Momentum (10-day) % +36.85%-35.40%
📊 Statistical Measures
Average Price 0.330.79
Median Price 0.280.62
Price Std Deviation 0.180.42
🚀 Returns & Growth
CAGR % +1,273.40%-68.68%
Annualized Return % +1,273.40%-68.68%
Total Return % +266.62%-66.41%
⚠️ Risk & Volatility
Daily Volatility % 10.31%5.97%
Annualized Volatility % 197.03%114.03%
Max Drawdown % -52.62%-83.11%
Sharpe Ratio 0.111-0.023
Sortino Ratio 0.171-0.023
Calmar Ratio 24.200-0.826
Ulcer Index 21.3765.49
📅 Daily Performance
Win Rate % 53.6%48.0%
Positive Days 97164
Negative Days 84178
Best Day % +92.63%+20.43%
Worst Day % -28.32%-27.41%
Avg Gain (Up Days) % +5.97%+4.64%
Avg Loss (Down Days) % -4.42%-4.54%
Profit Factor 1.560.94
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 812
💹 Trading Metrics
Omega Ratio 1.5600.942
Expectancy % +1.15%-0.14%
Kelly Criterion % 4.35%0.00%
📅 Weekly Performance
Best Week % +68.75%+32.40%
Worst Week % -22.29%-27.46%
Weekly Win Rate % 64.3%51.9%
📆 Monthly Performance
Best Month % +87.55%+59.34%
Worst Month % -25.32%-34.70%
Monthly Win Rate % 50.0%46.2%
🔧 Technical Indicators
RSI (14-period) 80.8920.22
Price vs 50-Day MA % +37.59%-32.76%
Price vs 200-Day MA % N/A-24.92%

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 IMX (IMX): -0.032 (Weak)

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
IMX: Kraken