SIGMA SIGMA / PYTH Crypto vs PYTH PYTH / PYTH 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 SIGMA / PYTHPYTH / PYTH
📈 Performance Metrics
Start Price 0.171.00
End Price 0.041.00
Price Change % -75.11%+0.00%
Period High 0.251.00
Period Low 0.041.00
Price Range % 498.8%0.0%
🏆 All-Time Records
All-Time High 0.251.00
Days Since ATH 132 days343 days
Distance From ATH % -83.1%+0.0%
All-Time Low 0.041.00
Distance From ATL % +1.0%+0.0%
New ATHs Hit 4 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.07%0.00%
Biggest Jump (1 Day) % +0.06+0.00
Biggest Drop (1 Day) % -0.050.00
Days Above Avg % 49.8%0.0%
Extreme Moves days 12 (4.5%)0 (0.0%)
Stability Score % 0.0%100.0%
Trend Strength % 54.1%0.0%
Recent Momentum (10-day) % -16.04%+0.00%
📊 Statistical Measures
Average Price 0.111.00
Median Price 0.111.00
Price Std Deviation 0.050.00
🚀 Returns & Growth
CAGR % -84.95%+0.00%
Annualized Return % -84.95%+0.00%
Total Return % -75.11%+0.00%
⚠️ Risk & Volatility
Daily Volatility % 9.05%0.00%
Annualized Volatility % 172.89%0.00%
Max Drawdown % -83.30%-0.00%
Sharpe Ratio -0.0110.000
Sortino Ratio -0.0120.000
Calmar Ratio -1.0200.000
Ulcer Index 50.530.00
📅 Daily Performance
Win Rate % 45.9%0.0%
Positive Days 1230
Negative Days 1450
Best Day % +39.94%+0.00%
Worst Day % -49.66%0.00%
Avg Gain (Up Days) % +6.69%+0.00%
Avg Loss (Down Days) % -5.86%-0.00%
Profit Factor 0.970.00
🔥 Streaks & Patterns
Longest Win Streak days 70
Longest Loss Streak days 70
💹 Trading Metrics
Omega Ratio 0.9680.000
Expectancy % -0.10%+0.00%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +74.57%+0.00%
Worst Week % -43.32%0.00%
Weekly Win Rate % 35.0%0.0%
📆 Monthly Performance
Best Month % +70.85%+0.00%
Worst Month % -59.75%0.00%
Monthly Win Rate % 45.5%0.0%
🔧 Technical Indicators
RSI (14-period) 37.44100.00
Price vs 50-Day MA % -25.13%+0.00%
Price vs 200-Day MA % -65.98%+0.00%
💰 Volume Analysis
Avg Volume 10,115,37311,531,252
Total Volume 2,721,035,3773,966,750,856

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).

SIGMA (SIGMA) vs PYTH (PYTH): 0.000 (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

SIGMA: Kraken
PYTH: Kraken