PYTH PYTH / SPK 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / SPKIMX / USD

📈 Performance Metrics

Start Price 2.301.08

End Price 3.100.43

Price Change % +34.55%-60.64%

Period High 3.892.13

Period Low 0.740.36

Price Range % 426.3%492.2%

🏆 All-Time Records

All-Time High 3.892.13

Days Since ATH 91 days312 days

Distance From ATH % -20.4%-80.0%

All-Time Low 0.740.36

Distance From ATL % +318.7%+18.3%

New ATHs Hit 16 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.58%4.59%

Biggest Jump (1 Day) % +1.92+0.17

Biggest Drop (1 Day) % -1.37-0.34

Days Above Avg % 60.7%28.2%

Extreme Moves days 4 (3.4%)18 (5.2%)

Stability Score % 0.0%0.0%

Trend Strength % 63.8%51.6%

Recent Momentum (10-day) % +7.52%-19.25%

📊 Statistical Measures

Average Price 2.440.81

Median Price 2.650.63

Price Std Deviation 0.840.43

🚀 Returns & Growth

CAGR % +154.44%-62.92%

Annualized Return % +154.44%-62.92%

Total Return % +34.55%-60.64%

⚠️ Risk & Volatility

Daily Volatility % 14.59%6.02%

Annualized Volatility % 278.78%115.02%

Max Drawdown % -81.00%-83.11%

Sharpe Ratio 0.084-0.015

Sortino Ratio 0.089-0.015

Calmar Ratio 1.907-0.757

Ulcer Index 40.7964.36

📅 Daily Performance

Win Rate % 64.3%48.2%

Positive Days 74165

Negative Days 41177

Best Day % +103.53%+20.43%

Worst Day % -55.27%-27.41%

Avg Gain (Up Days) % +6.78%+4.70%

Avg Loss (Down Days) % -8.76%-4.55%

Profit Factor 1.400.96

🔥 Streaks & Patterns

Longest Win Streak days 87

Longest Loss Streak days 412

💹 Trading Metrics

Omega Ratio 1.3960.962

Expectancy % +1.24%-0.09%

Kelly Criterion % 2.08%0.00%

📅 Weekly Performance

Best Week % +116.56%+32.40%

Worst Week % -39.18%-27.46%

Weekly Win Rate % 73.7%50.0%

📆 Monthly Performance

Best Month % +160.85%+83.07%

Worst Month % -55.73%-34.70%

Monthly Win Rate % 83.3%46.2%

🔧 Technical Indicators

RSI (14-period) 50.4222.79

Price vs 50-Day MA % +7.76%-33.06%

Price vs 200-Day MA % N/A-23.77%

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):	0.138 (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