PYTH PYTH / SLF Crypto vs PYTH PYTH / SLF Crypto

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

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Asset PYTH / SLFPYTH / SLF
📈 Performance Metrics
Start Price 1.381.38
End Price 8.148.14
Price Change % +489.74%+489.74%
Period High 8.148.14
Period Low 0.540.54
Price Range % 1,407.3%1,407.3%
🏆 All-Time Records
All-Time High 8.148.14
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 0.540.54
Distance From ATL % +1,407.3%+1,407.3%
New ATHs Hit 23 times23 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.57%7.57%
Biggest Jump (1 Day) % +2.45+2.45
Biggest Drop (1 Day) % -2.54-2.54
Days Above Avg % 27.4%27.4%
Extreme Moves days 12 (3.9%)12 (3.9%)
Stability Score % 0.0%0.0%
Trend Strength % 53.7%53.7%
Recent Momentum (10-day) % +7.80%+7.80%
📊 Statistical Measures
Average Price 1.321.32
Median Price 1.061.06
Price Std Deviation 1.011.01
🚀 Returns & Growth
CAGR % +713.45%+713.45%
Annualized Return % +713.45%+713.45%
Total Return % +489.74%+489.74%
⚠️ Risk & Volatility
Daily Volatility % 10.29%10.29%
Annualized Volatility % 196.56%196.56%
Max Drawdown % -68.12%-68.12%
Sharpe Ratio 0.1030.103
Sortino Ratio 0.1330.133
Calmar Ratio 10.47410.474
Ulcer Index 34.2134.21
📅 Daily Performance
Win Rate % 53.7%53.7%
Positive Days 166166
Negative Days 143143
Best Day % +93.27%+93.27%
Worst Day % -52.69%-52.69%
Avg Gain (Up Days) % +6.03%+6.03%
Avg Loss (Down Days) % -4.72%-4.72%
Profit Factor 1.481.48
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.4851.485
Expectancy % +1.06%+1.06%
Kelly Criterion % 3.72%3.72%
📅 Weekly Performance
Best Week % +95.87%+95.87%
Worst Week % -57.70%-57.70%
Weekly Win Rate % 56.5%56.5%
📆 Monthly Performance
Best Month % +160.01%+160.01%
Worst Month % -29.21%-29.21%
Monthly Win Rate % 72.7%72.7%
🔧 Technical Indicators
RSI (14-period) 70.2270.22
Price vs 50-Day MA % +174.70%+174.70%
Price vs 200-Day MA % +469.92%+469.92%

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 PYTH (PYTH): 1.000 (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
PYTH: Kraken
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