UNFI UNFI / 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 UNFI / ACMPYTH / ACM

📈 Performance Metrics

Start Price 0.660.27

End Price 0.220.17

Price Change % -66.41%-35.34%

Period High 0.850.29

Period Low 0.170.11

Price Range % 386.1%172.3%

🏆 All-Time Records

All-Time High 0.850.29

Days Since ATH 323 days324 days

Distance From ATH % -74.0%-40.1%

All-Time Low 0.170.11

Distance From ATL % +26.5%+63.1%

New ATHs Hit 1 times5 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.93%3.47%

Biggest Jump (1 Day) % +0.46+0.12

Biggest Drop (1 Day) % -0.25-0.05

Days Above Avg % 34.3%43.9%

Extreme Moves days 9 (2.6%)6 (1.7%)

Stability Score % 0.0%0.0%

Trend Strength % 58.0%53.1%

Recent Momentum (10-day) % +4.38%-6.66%

📊 Statistical Measures

Average Price 0.300.18

Median Price 0.260.18

Price Std Deviation 0.100.04

🚀 Returns & Growth

CAGR % -68.68%-37.12%

Annualized Return % -68.68%-37.12%

Total Return % -66.41%-35.34%

⚠️ Risk & Volatility

Daily Volatility % 12.37%7.04%

Annualized Volatility % 236.41%134.47%

Max Drawdown % -79.43%-63.27%

Sharpe Ratio 0.0180.010

Sortino Ratio 0.0340.015

Calmar Ratio -0.865-0.587

Ulcer Index 65.5439.75

📅 Daily Performance

Win Rate % 42.0%46.9%

Positive Days 144161

Negative Days 199182

Best Day % +141.48%+96.26%

Worst Day % -29.11%-24.42%

Avg Gain (Up Days) % +6.97%+3.98%

Avg Loss (Down Days) % -4.66%-3.39%

Profit Factor 1.081.04

🔥 Streaks & Patterns

Longest Win Streak days 87

Longest Loss Streak days 68

💹 Trading Metrics

Omega Ratio 1.0811.040

Expectancy % +0.22%+0.07%

Kelly Criterion % 0.68%0.53%

📅 Weekly Performance

Best Week % +71.18%+70.10%

Worst Week % -41.31%-20.55%

Weekly Win Rate % 40.4%51.9%

📆 Monthly Performance

Best Month % +41.12%+58.98%

Worst Month % -56.18%-24.69%

Monthly Win Rate % 38.5%30.8%

🔧 Technical Indicators

RSI (14-period) 69.0046.77

Price vs 50-Day MA % -0.26%-3.23%

Price vs 200-Day MA % -7.25%+10.49%

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).

UNFI (UNFI) vs PYTH (PYTH):	0.752 (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

UNFI: Kraken
PYTH: Kraken