PELL PELL / ACM Crypto vs PYTH PYTH / ACM 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 PELL / ACMPYTH / ACM

📈 Performance Metrics

Start Price 0.010.26

End Price 0.000.17

Price Change % -75.85%-35.05%

Period High 0.020.29

Period Low 0.000.11

Price Range % 1,250.8%172.3%

🏆 All-Time Records

All-Time High 0.020.29

Days Since ATH 219 days322 days

Distance From ATH % -90.3%-41.1%

All-Time Low 0.000.11

Distance From ATL % +30.4%+60.4%

New ATHs Hit 1 times4 times

📌 Easy-to-Understand Stats

Avg Daily Change % 7.96%3.46%

Biggest Jump (1 Day) % +0.01+0.12

Biggest Drop (1 Day) % -0.01-0.05

Days Above Avg % 27.6%43.9%

Extreme Moves days 2 (0.9%)6 (1.7%)

Stability Score % 0.0%0.0%

Trend Strength % 57.3%52.8%

Recent Momentum (10-day) % +4.35%-6.93%

📊 Statistical Measures

Average Price 0.000.18

Median Price 0.000.18

Price Std Deviation 0.000.04

🚀 Returns & Growth

CAGR % -90.53%-36.82%

Annualized Return % -90.53%-36.82%

Total Return % -75.85%-35.05%

⚠️ Risk & Volatility

Daily Volatility % 12.32%7.03%

Annualized Volatility % 235.31%134.40%

Max Drawdown % -92.60%-63.27%

Sharpe Ratio -0.0100.010

Sortino Ratio -0.0180.015

Calmar Ratio -0.978-0.582

Ulcer Index 84.2239.64

📅 Daily Performance

Win Rate % 42.7%47.2%

Positive Days 94162

Negative Days 126181

Best Day % +150.07%+96.26%

Worst Day % -24.06%-24.42%

Avg Gain (Up Days) % +6.24%+3.95%

Avg Loss (Down Days) % -4.88%-3.40%

Profit Factor 0.951.04

🔥 Streaks & Patterns

Longest Win Streak days 57

Longest Loss Streak days 88

💹 Trading Metrics

Omega Ratio 0.9541.040

Expectancy % -0.13%+0.07%

Kelly Criterion % 0.00%0.54%

📅 Weekly Performance

Best Week % +65.93%+70.10%

Worst Week % -43.06%-20.55%

Weekly Win Rate % 29.4%50.9%

📆 Monthly Performance

Best Month % +40.25%+58.98%

Worst Month % -33.39%-24.69%

Monthly Win Rate % 22.2%30.8%

🔧 Technical Indicators

RSI (14-period) 54.4843.15

Price vs 50-Day MA % -7.38%-5.11%

Price vs 200-Day MA % -27.87%+8.75%

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).

PELL (PELL) vs PYTH (PYTH):	0.200 (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

PELL: Bybit
PYTH: Kraken