PYTH PYTH / XDC Crypto vs SPEC SPEC / 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 PYTH / XDCSPEC / USD
📈 Performance Metrics
Start Price 2.059.59
End Price 1.870.25
Price Change % -8.96%-97.42%
Period High 2.4417.31
Period Low 1.820.23
Price Range % 33.6%7,324.0%
🏆 All-Time Records
All-Time High 2.4417.31
Days Since ATH 31 days317 days
Distance From ATH % -23.4%-98.6%
All-Time Low 1.820.23
Distance From ATL % +2.3%+6.1%
New ATHs Hit 4 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.24%6.69%
Biggest Jump (1 Day) % +0.26+4.15
Biggest Drop (1 Day) % -0.37-2.28
Days Above Avg % 53.7%27.0%
Extreme Moves days 3 (7.5%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 52.5%55.8%
Recent Momentum (10-day) % +2.08%-16.69%
📊 Statistical Measures
Average Price 2.093.60
Median Price 2.101.54
Price Std Deviation 0.134.28
🚀 Returns & Growth
CAGR % -57.53%-97.94%
Annualized Return % -57.53%-97.94%
Total Return % -8.96%-97.42%
⚠️ Risk & Volatility
Daily Volatility % 4.94%8.31%
Annualized Volatility % 94.36%158.75%
Max Drawdown % -25.14%-98.65%
Sharpe Ratio -0.022-0.087
Sortino Ratio -0.022-0.094
Calmar Ratio -2.289-0.993
Ulcer Index 13.2482.36
📅 Daily Performance
Win Rate % 47.5%44.2%
Positive Days 19152
Negative Days 21192
Best Day % +13.84%+41.44%
Worst Day % -16.97%-27.71%
Avg Gain (Up Days) % +3.29%+5.99%
Avg Loss (Down Days) % -3.19%-6.03%
Profit Factor 0.930.79
🔥 Streaks & Patterns
Longest Win Streak days 37
Longest Loss Streak days 411
💹 Trading Metrics
Omega Ratio 0.9340.786
Expectancy % -0.11%-0.72%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +6.39%+82.57%
Worst Week % 0.00%-32.33%
Weekly Win Rate % 87.5%37.7%
📆 Monthly Performance
Best Month % +4.95%+80.50%
Worst Month % -1.47%-59.60%
Monthly Win Rate % 66.7%15.4%
🔧 Technical Indicators
RSI (14-period) 38.6933.68
Price vs 50-Day MA % N/A-37.20%
Price vs 200-Day MA % N/A-72.75%
💰 Volume Analysis
Avg Volume 40,843,051643,384
Total Volume 1,674,565,102221,967,563

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 SPEC (SPEC): 0.488 (Moderate positive)

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
SPEC: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures