PYTH PYTH / SPK Crypto vs EDU EDU / 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 / SPKEDU / USD
📈 Performance Metrics
Start Price 2.300.44
End Price 3.090.17
Price Change % +34.39%-61.03%
Period High 3.890.76
Period Low 0.740.10
Price Range % 426.3%650.0%
🏆 All-Time Records
All-Time High 3.890.76
Days Since ATH 89 days308 days
Distance From ATH % -20.5%-77.1%
All-Time Low 0.740.10
Distance From ATL % +318.2%+71.7%
New ATHs Hit 16 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.72%4.09%
Biggest Jump (1 Day) % +1.92+0.09
Biggest Drop (1 Day) % -1.37-0.17
Days Above Avg % 60.9%32.6%
Extreme Moves days 4 (3.5%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 64.0%49.9%
Recent Momentum (10-day) % +6.18%+14.54%
📊 Statistical Measures
Average Price 2.430.26
Median Price 2.630.15
Price Std Deviation 0.840.18
🚀 Returns & Growth
CAGR % +157.62%-63.32%
Annualized Return % +157.62%-63.32%
Total Return % +34.39%-61.03%
⚠️ Risk & Volatility
Daily Volatility % 14.72%5.67%
Annualized Volatility % 281.20%108.29%
Max Drawdown % -81.00%-86.67%
Sharpe Ratio 0.085-0.020
Sortino Ratio 0.090-0.020
Calmar Ratio 1.946-0.731
Ulcer Index 41.0669.24
📅 Daily Performance
Win Rate % 64.0%50.1%
Positive Days 73172
Negative Days 41171
Best Day % +103.53%+32.77%
Worst Day % -55.27%-22.20%
Avg Gain (Up Days) % +6.87%+3.92%
Avg Loss (Down Days) % -8.76%-4.18%
Profit Factor 1.400.95
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 48
💹 Trading Metrics
Omega Ratio 1.3960.945
Expectancy % +1.25%-0.11%
Kelly Criterion % 2.07%0.00%
📅 Weekly Performance
Best Week % +116.56%+34.70%
Worst Week % -39.18%-23.12%
Weekly Win Rate % 68.4%45.3%
📆 Monthly Performance
Best Month % +160.85%+47.46%
Worst Month % -55.73%-47.87%
Monthly Win Rate % 83.3%30.8%
🔧 Technical Indicators
RSI (14-period) 55.3073.73
Price vs 50-Day MA % +9.81%+22.84%
Price vs 200-Day MA % N/A+25.32%
💰 Volume Analysis
Avg Volume 51,293,59413,661,664
Total Volume 5,898,763,2584,699,612,298

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 EDU (EDU): 0.282 (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
EDU: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures