PYTH PYTH / SIS Crypto vs CORN CORN / SIS 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / SISCORN / SIS

📈 Performance Metrics

Start Price 3.451.04

End Price 1.341.45

Price Change % -61.29%+38.66%

Period High 3.601.78

Period Low 1.310.34

Price Range % 174.1%421.9%

🏆 All-Time Records

All-Time High 3.601.78

Days Since ATH 339 days40 days

Distance From ATH % -63.0%-18.7%

All-Time Low 1.310.34

Distance From ATL % +1.5%+324.1%

New ATHs Hit 2 times16 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.55%5.44%

Biggest Jump (1 Day) % +1.54+0.40

Biggest Drop (1 Day) % -0.71-0.31

Days Above Avg % 45.6%52.8%

Extreme Moves days 8 (2.3%)11 (4.8%)

Stability Score % 0.0%0.0%

Trend Strength % 52.8%49.6%

Recent Momentum (10-day) % -3.98%+5.47%

📊 Statistical Measures

Average Price 2.361.04

Median Price 2.281.05

Price Std Deviation 0.570.34

🚀 Returns & Growth

CAGR % -63.58%+68.76%

Annualized Return % -63.58%+68.76%

Total Return % -61.29%+38.66%

⚠️ Risk & Volatility

Daily Volatility % 7.53%9.23%

Annualized Volatility % 143.78%176.31%

Max Drawdown % -63.52%-71.94%

Sharpe Ratio -0.0040.057

Sortino Ratio -0.0060.074

Calmar Ratio -1.0010.956

Ulcer Index 37.8334.47

📅 Daily Performance

Win Rate % 47.2%49.6%

Positive Days 162113

Negative Days 181115

Best Day % +88.45%+67.47%

Worst Day % -19.58%-23.17%

Avg Gain (Up Days) % +4.86%+6.14%

Avg Loss (Down Days) % -4.41%-4.99%

Profit Factor 0.991.21

🔥 Streaks & Patterns

Longest Win Streak days 98

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 0.9861.210

Expectancy % -0.03%+0.53%

Kelly Criterion % 0.00%1.72%

📅 Weekly Performance

Best Week % +47.45%+124.71%

Worst Week % -21.19%-42.76%

Weekly Win Rate % 46.2%60.0%

📆 Monthly Performance

Best Month % +52.70%+196.87%

Worst Month % -38.78%-55.26%

Monthly Win Rate % 38.5%50.0%

🔧 Technical Indicators

RSI (14-period) 31.8551.45

Price vs 50-Day MA % -23.41%+10.40%

Price vs 200-Day MA % -34.38%+36.85%

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 CORN (CORN):	0.010 (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
CORN: Kraken