PYTH PYTH / WIF Crypto vs ALEPH ALEPH / USD 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / WIFALEPH / USD

📈 Performance Metrics

Start Price 0.120.16

End Price 0.220.04

Price Change % +78.98%-71.23%

Period High 0.380.21

Period Low 0.110.04

Price Range % 253.2%374.5%

🏆 All-Time Records

All-Time High 0.380.21

Days Since ATH 244 days321 days

Distance From ATH % -43.1%-78.8%

All-Time Low 0.110.04

Distance From ATL % +100.8%+0.5%

New ATHs Hit 37 times10 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.73%4.10%

Biggest Jump (1 Day) % +0.13+0.03

Biggest Drop (1 Day) % -0.05-0.02

Days Above Avg % 42.2%30.1%

Extreme Moves days 5 (1.5%)16 (4.7%)

Stability Score % 0.0%0.0%

Trend Strength % 53.4%55.4%

Recent Momentum (10-day) % +1.44%-13.67%

📊 Statistical Measures

Average Price 0.210.09

Median Price 0.190.07

Price Std Deviation 0.080.04

🚀 Returns & Growth

CAGR % +85.79%-73.64%

Annualized Return % +85.79%-73.64%

Total Return % +78.98%-71.23%

⚠️ Risk & Volatility

Daily Volatility % 6.78%6.04%

Annualized Volatility % 129.50%115.37%

Max Drawdown % -71.68%-78.93%

Sharpe Ratio 0.053-0.031

Sortino Ratio 0.073-0.036

Calmar Ratio 1.197-0.933

Ulcer Index 43.5961.43

📅 Daily Performance

Win Rate % 53.4%43.4%

Positive Days 183145

Negative Days 160189

Best Day % +90.93%+43.92%

Worst Day % -20.06%-23.32%

Avg Gain (Up Days) % +3.79%+4.69%

Avg Loss (Down Days) % -3.57%-3.94%

Profit Factor 1.210.91

🔥 Streaks & Patterns

Longest Win Streak days 77

Longest Loss Streak days 510

💹 Trading Metrics

Omega Ratio 1.2150.913

Expectancy % +0.36%-0.19%

Kelly Criterion % 2.64%0.00%

📅 Weekly Performance

Best Week % +64.63%+47.15%

Worst Week % -24.45%-26.29%

Weekly Win Rate % 59.6%42.3%

📆 Monthly Performance

Best Month % +85.38%+48.98%

Worst Month % -43.58%-30.12%

Monthly Win Rate % 53.8%30.8%

🔧 Technical Indicators

RSI (14-period) 43.4841.19

Price vs 50-Day MA % +7.09%-31.74%

Price vs 200-Day MA % +24.49%-33.45%

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 ALEPH (ALEPH):	-0.190 (Weak)

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
ALEPH: Coinbase