SPK SPK / PYTH 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.

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset SPK / PYTHEDU / USD
📈 Performance Metrics
Start Price 0.430.53
End Price 0.380.17
Price Change % -12.34%-69.13%
Period High 1.350.76
Period Low 0.260.10
Price Range % 426.3%650.0%
🏆 All-Time Records
All-Time High 1.350.76
Days Since ATH 88 days315 days
Distance From ATH % -71.8%-78.2%
All-Time Low 0.260.10
Distance From ATL % +48.3%+63.9%
New ATHs Hit 4 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 8.57%4.10%
Biggest Jump (1 Day) % +0.75+0.09
Biggest Drop (1 Day) % -0.48-0.17
Days Above Avg % 32.8%30.5%
Extreme Moves days 5 (4.1%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 62.8%50.4%
Recent Momentum (10-day) % +9.11%+18.78%
📊 Statistical Measures
Average Price 0.480.26
Median Price 0.380.15
Price Std Deviation 0.220.18
🚀 Returns & Growth
CAGR % -32.80%-71.37%
Annualized Return % -32.80%-71.37%
Total Return % -12.34%-69.13%
⚠️ Risk & Volatility
Daily Volatility % 16.00%5.65%
Annualized Volatility % 305.75%107.99%
Max Drawdown % -80.42%-86.67%
Sharpe Ratio 0.057-0.032
Sortino Ratio 0.099-0.032
Calmar Ratio -0.408-0.824
Ulcer Index 57.5970.14
📅 Daily Performance
Win Rate % 37.2%49.6%
Positive Days 45170
Negative Days 76173
Best Day % +123.56%+32.77%
Worst Day % -50.87%-22.20%
Avg Gain (Up Days) % +11.59%+3.90%
Avg Loss (Down Days) % -5.41%-4.19%
Profit Factor 1.270.91
🔥 Streaks & Patterns
Longest Win Streak days 49
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.2690.914
Expectancy % +0.91%-0.18%
Kelly Criterion % 1.46%0.00%
📅 Weekly Performance
Best Week % +64.42%+34.70%
Worst Week % -53.82%-23.12%
Weekly Win Rate % 30.0%43.4%
📆 Monthly Performance
Best Month % +125.91%+29.31%
Worst Month % -61.66%-47.87%
Monthly Win Rate % 33.3%30.8%
🔧 Technical Indicators
RSI (14-period) 69.3368.15
Price vs 50-Day MA % +8.22%+14.85%
Price vs 200-Day MA % N/A+18.33%
💰 Volume Analysis
Avg Volume 13,283,55313,859,473
Total Volume 1,620,593,4954,767,658,645

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).

SPK (SPK) vs EDU (EDU): -0.238 (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

SPK: Kraken
EDU: Binance