PYTH PYTH / LAYER Crypto vs SLF SLF / USD Crypto

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

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Asset PYTH / LAYERSLF / USD
📈 Performance Metrics
Start Price 0.180.30
End Price 0.440.02
Price Change % +143.44%-93.11%
Period High 0.480.54
Period Low 0.040.02
Price Range % 1,059.9%2,478.4%
🏆 All-Time Records
All-Time High 0.480.54
Days Since ATH 6 days290 days
Distance From ATH % -9.0%-96.1%
All-Time Low 0.040.02
Distance From ATL % +955.0%+0.0%
New ATHs Hit 11 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.56%4.71%
Biggest Jump (1 Day) % +0.20+0.06
Biggest Drop (1 Day) % -0.12-0.10
Days Above Avg % 33.9%55.0%
Extreme Moves days 5 (2.2%)8 (2.6%)
Stability Score % 0.0%0.0%
Trend Strength % 52.6%53.9%
Recent Momentum (10-day) % +8.88%+4.64%
📊 Statistical Measures
Average Price 0.200.20
Median Price 0.160.21
Price Std Deviation 0.100.12
🚀 Returns & Growth
CAGR % +305.42%-95.80%
Annualized Return % +305.42%-95.80%
Total Return % +143.44%-93.11%
⚠️ Risk & Volatility
Daily Volatility % 10.29%10.06%
Annualized Volatility % 196.54%192.15%
Max Drawdown % -80.98%-96.12%
Sharpe Ratio 0.078-0.044
Sortino Ratio 0.119-0.057
Calmar Ratio 3.772-0.997
Ulcer Index 35.9765.64
📅 Daily Performance
Win Rate % 52.8%45.9%
Positive Days 122141
Negative Days 109166
Best Day % +96.53%+106.67%
Worst Day % -24.59%-38.55%
Avg Gain (Up Days) % +5.75%+5.30%
Avg Loss (Down Days) % -4.72%-5.32%
Profit Factor 1.360.85
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.3630.846
Expectancy % +0.81%-0.44%
Kelly Criterion % 2.98%0.00%
📅 Weekly Performance
Best Week % +241.50%+144.40%
Worst Week % -36.85%-46.53%
Weekly Win Rate % 48.6%39.1%
📆 Monthly Performance
Best Month % +206.48%+68.53%
Worst Month % -49.68%-59.85%
Monthly Win Rate % 77.8%9.1%
🔧 Technical Indicators
RSI (14-period) 58.8952.30
Price vs 50-Day MA % +20.68%-62.91%
Price vs 200-Day MA % +111.72%-85.24%

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 SLF (SLF): -0.689 (Moderate negative)

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
SLF: Binance
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