PYTH PYTH / IMX Crypto vs SPK SPK / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / IMXSPK / USD
📈 Performance Metrics
Start Price 0.330.04
End Price 0.240.04
Price Change % -27.96%-7.92%
Period High 0.420.18
Period Low 0.190.03
Price Range % 125.6%492.8%
🏆 All-Time Records
All-Time High 0.420.18
Days Since ATH 54 days91 days
Distance From ATH % -43.3%-78.9%
All-Time Low 0.190.03
Distance From ATL % +27.9%+25.2%
New ATHs Hit 4 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.03%8.08%
Biggest Jump (1 Day) % +0.19+0.09
Biggest Drop (1 Day) % -0.05-0.07
Days Above Avg % 45.6%38.4%
Extreme Moves days 7 (2.0%)5 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.6%62.9%
Recent Momentum (10-day) % +8.29%-19.88%
📊 Statistical Measures
Average Price 0.250.06
Median Price 0.250.06
Price Std Deviation 0.040.03
🚀 Returns & Growth
CAGR % -29.46%-21.56%
Annualized Return % -29.46%-21.56%
Total Return % -27.96%-7.92%
⚠️ Risk & Volatility
Daily Volatility % 6.26%13.80%
Annualized Volatility % 119.56%263.72%
Max Drawdown % -55.68%-83.13%
Sharpe Ratio 0.0090.051
Sortino Ratio 0.0150.090
Calmar Ratio -0.529-0.259
Ulcer Index 31.0255.59
📅 Daily Performance
Win Rate % 46.4%36.6%
Positive Days 15945
Negative Days 18478
Best Day % +90.01%+97.07%
Worst Day % -13.75%-38.28%
Avg Gain (Up Days) % +3.29%+11.04%
Avg Loss (Down Days) % -2.74%-5.25%
Profit Factor 1.041.21
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 108
💹 Trading Metrics
Omega Ratio 1.0391.213
Expectancy % +0.06%+0.71%
Kelly Criterion % 0.64%1.22%
📅 Weekly Performance
Best Week % +69.93%+53.25%
Worst Week % -17.10%-27.36%
Weekly Win Rate % 50.0%40.0%
📆 Monthly Performance
Best Month % +61.10%+162.71%
Worst Month % -34.18%-36.62%
Monthly Win Rate % 46.2%50.0%
🔧 Technical Indicators
RSI (14-period) 57.5442.19
Price vs 50-Day MA % +0.22%-27.55%
Price vs 200-Day MA % -1.82%N/A

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 SPK (SPK): -0.027 (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
SPK: Kraken