PYTH PYTH / SIS Crypto vs MODE MODE / SIS Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / SISMODE / SIS
📈 Performance Metrics
Start Price 4.140.17
End Price 1.410.01
Price Change % -65.89%-91.43%
Period High 4.140.47
Period Low 1.380.01
Price Range % 200.0%3,645.2%
🏆 All-Time Records
All-Time High 4.140.47
Days Since ATH 343 days291 days
Distance From ATH % -65.9%-96.8%
All-Time Low 1.380.01
Distance From ATL % +2.3%+19.8%
New ATHs Hit 0 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.53%7.04%
Biggest Jump (1 Day) % +1.54+0.07
Biggest Drop (1 Day) % -0.71-0.09
Days Above Avg % 44.8%27.5%
Extreme Moves days 8 (2.3%)21 (6.1%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%52.9%
Recent Momentum (10-day) % -12.26%-0.36%
📊 Statistical Measures
Average Price 2.420.11
Median Price 2.340.06
Price Std Deviation 0.580.11
🚀 Returns & Growth
CAGR % -68.16%-92.63%
Annualized Return % -68.16%-92.63%
Total Return % -65.89%-91.43%
⚠️ Risk & Volatility
Daily Volatility % 7.53%8.51%
Annualized Volatility % 143.79%162.54%
Max Drawdown % -66.67%-97.33%
Sharpe Ratio -0.009-0.042
Sortino Ratio -0.012-0.045
Calmar Ratio -1.022-0.952
Ulcer Index 43.8679.70
📅 Daily Performance
Win Rate % 46.8%47.1%
Positive Days 160162
Negative Days 182182
Best Day % +88.45%+43.56%
Worst Day % -19.58%-24.45%
Avg Gain (Up Days) % +4.87%+6.21%
Avg Loss (Down Days) % -4.42%-6.20%
Profit Factor 0.970.89
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 0.9700.891
Expectancy % -0.07%-0.36%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +47.45%+42.78%
Worst Week % -21.19%-50.96%
Weekly Win Rate % 43.4%35.8%
📆 Monthly Performance
Best Month % +52.70%+52.57%
Worst Month % -38.78%-59.53%
Monthly Win Rate % 30.8%30.8%
🔧 Technical Indicators
RSI (14-period) 44.2152.32
Price vs 50-Day MA % -25.08%-13.51%
Price vs 200-Day MA % -32.77%-62.59%

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 MODE (MODE): 0.714 (Strong 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
MODE: Bybit