PYTH PYTH / SIS Crypto vs POL POL / 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 / SISPOL / SIS
📈 Performance Metrics
Start Price 2.633.64
End Price 1.202.15
Price Change % -54.25%-40.87%
Period High 3.524.89
Period Low 1.132.02
Price Range % 211.0%141.4%
🏆 All-Time Records
All-Time High 3.524.89
Days Since ATH 303 days200 days
Distance From ATH % -65.9%-55.9%
All-Time Low 1.132.02
Distance From ATL % +6.1%+6.4%
New ATHs Hit 8 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.46%3.31%
Biggest Jump (1 Day) % +1.54+1.20
Biggest Drop (1 Day) % -0.53-0.72
Days Above Avg % 45.9%45.9%
Extreme Moves days 8 (2.3%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%49.6%
Recent Momentum (10-day) % -15.80%-16.14%
📊 Statistical Measures
Average Price 2.333.63
Median Price 2.253.56
Price Std Deviation 0.570.60
🚀 Returns & Growth
CAGR % -56.49%-42.83%
Annualized Return % -56.49%-42.83%
Total Return % -54.25%-40.87%
⚠️ Risk & Volatility
Daily Volatility % 7.46%5.24%
Annualized Volatility % 142.46%100.11%
Max Drawdown % -67.84%-58.57%
Sharpe Ratio 0.001-0.004
Sortino Ratio 0.002-0.005
Calmar Ratio -0.833-0.731
Ulcer Index 37.0927.13
📅 Daily Performance
Win Rate % 47.2%50.4%
Positive Days 162173
Negative Days 181170
Best Day % +88.45%+50.56%
Worst Day % -17.66%-18.31%
Avg Gain (Up Days) % +4.85%+3.36%
Avg Loss (Down Days) % -4.33%-3.47%
Profit Factor 1.000.99
🔥 Streaks & Patterns
Longest Win Streak days 98
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 1.0040.987
Expectancy % +0.01%-0.02%
Kelly Criterion % 0.04%0.00%
📅 Weekly Performance
Best Week % +47.45%+22.52%
Worst Week % -21.19%-22.70%
Weekly Win Rate % 44.2%40.4%
📆 Monthly Performance
Best Month % +52.70%+47.18%
Worst Month % -38.78%-30.05%
Monthly Win Rate % 38.5%46.2%
🔧 Technical Indicators
RSI (14-period) 32.2834.46
Price vs 50-Day MA % -26.56%-22.04%
Price vs 200-Day MA % -39.21%-36.72%

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 POL (POL): 0.837 (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
POL: Kraken
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