PYTH PYTH / M 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 / MSPK / USD
📈 Performance Metrics
Start Price 1.900.04
End Price 0.060.03
Price Change % -96.80%-21.47%
Period High 1.900.18
Period Low 0.040.03
Price Range % 5,079.0%502.3%
🏆 All-Time Records
All-Time High 1.900.18
Days Since ATH 126 days106 days
Distance From ATH % -96.8%-82.0%
All-Time Low 0.040.03
Distance From ATL % +65.8%+8.5%
New ATHs Hit 0 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 14.89%7.78%
Biggest Jump (1 Day) % +0.27+0.09
Biggest Drop (1 Day) % -0.54-0.07
Days Above Avg % 41.7%43.6%
Extreme Moves days 6 (4.8%)5 (3.6%)
Stability Score % 0.0%0.0%
Trend Strength % 47.6%61.9%
Recent Momentum (10-day) % +5.19%-13.32%
📊 Statistical Measures
Average Price 0.220.06
Median Price 0.110.05
Price Std Deviation 0.290.03
🚀 Returns & Growth
CAGR % -100.00%-47.00%
Annualized Return % -100.00%-47.00%
Total Return % -96.80%-21.47%
⚠️ Risk & Volatility
Daily Volatility % 17.26%13.11%
Annualized Volatility % 329.77%250.42%
Max Drawdown % -98.07%-83.40%
Sharpe Ratio -0.0720.040
Sortino Ratio -0.0720.069
Calmar Ratio -1.020-0.564
Ulcer Index 89.6259.00
📅 Daily Performance
Win Rate % 52.4%37.7%
Positive Days 6652
Negative Days 6086
Best Day % +98.26%+97.07%
Worst Day % -47.38%-38.28%
Avg Gain (Up Days) % +9.57%+9.83%
Avg Loss (Down Days) % -13.15%-5.10%
Profit Factor 0.801.17
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 0.8001.165
Expectancy % -1.25%+0.52%
Kelly Criterion % 0.00%1.05%
📅 Weekly Performance
Best Week % +51.01%+53.25%
Worst Week % -67.88%-27.36%
Weekly Win Rate % 55.0%40.9%
📆 Monthly Performance
Best Month % +34.29%+162.71%
Worst Month % -84.91%-36.62%
Monthly Win Rate % 40.0%33.3%
🔧 Technical Indicators
RSI (14-period) 79.4640.31
Price vs 50-Day MA % +11.92%-24.16%

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): 0.049 (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
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