PYTH PYTH / ALGO Crypto vs LAYER LAYER / ALGO 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / ALGOLAYER / ALGO
📈 Performance Metrics
Start Price 3.174.13
End Price 0.591.32
Price Change % -81.45%-68.11%
Period High 3.2516.42
Period Low 0.411.28
Price Range % 702.3%1,183.9%
🏆 All-Time Records
All-Time High 3.2516.42
Days Since ATH 342 days164 days
Distance From ATH % -81.9%-92.0%
All-Time Low 0.411.28
Distance From ATL % +44.9%+3.0%
New ATHs Hit 1 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.76%5.67%
Biggest Jump (1 Day) % +0.44+1.56
Biggest Drop (1 Day) % -0.43-6.40
Days Above Avg % 25.6%31.4%
Extreme Moves days 8 (2.3%)14 (6.2%)
Stability Score % 0.0%0.0%
Trend Strength % 53.6%56.4%
Recent Momentum (10-day) % -9.66%-20.72%
📊 Statistical Measures
Average Price 0.824.57
Median Price 0.723.68
Price Std Deviation 0.453.16
🚀 Returns & Growth
CAGR % -83.35%-84.34%
Annualized Return % -83.35%-84.34%
Total Return % -81.45%-68.11%
⚠️ Risk & Volatility
Daily Volatility % 6.90%6.67%
Annualized Volatility % 131.90%127.35%
Max Drawdown % -87.54%-92.21%
Sharpe Ratio -0.043-0.040
Sortino Ratio -0.059-0.041
Calmar Ratio -0.952-0.915
Ulcer Index 76.0869.63
📅 Daily Performance
Win Rate % 46.4%43.6%
Positive Days 15998
Negative Days 184127
Best Day % +94.89%+19.86%
Worst Day % -26.08%-42.51%
Avg Gain (Up Days) % +3.20%+4.64%
Avg Loss (Down Days) % -3.32%-4.06%
Profit Factor 0.830.88
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 1010
💹 Trading Metrics
Omega Ratio 0.8330.882
Expectancy % -0.30%-0.27%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +76.23%+53.67%
Worst Week % -39.02%-67.22%
Weekly Win Rate % 50.0%44.1%
📆 Monthly Performance
Best Month % +68.82%+92.39%
Worst Month % -64.60%-71.47%
Monthly Win Rate % 30.8%22.2%
🔧 Technical Indicators
RSI (14-period) 23.5010.45
Price vs 50-Day MA % -16.30%-35.21%
Price vs 200-Day MA % -5.48%-70.51%

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 LAYER (LAYER): 0.391 (Moderate 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
LAYER: Kraken