PYTH PYTH / ACM Crypto vs ID ID / 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 PYTH / ACMID / ACM

📈 Performance Metrics

Start Price 0.250.26

End Price 0.170.16

Price Change % -33.30%-37.63%

Period High 0.290.34

Period Low 0.110.14

Price Range % 172.3%144.3%

🏆 All-Time Records

All-Time High 0.290.34

Days Since ATH 318 days313 days

Distance From ATH % -42.4%-52.9%

All-Time Low 0.110.14

Distance From ATL % +56.8%+15.0%

New ATHs Hit 7 times12 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.41%3.07%

Biggest Jump (1 Day) % +0.12+0.04

Biggest Drop (1 Day) % -0.05-0.06

Days Above Avg % 43.9%48.0%

Extreme Moves days 5 (1.5%)15 (4.4%)

Stability Score % 0.0%0.0%

Trend Strength % 52.5%53.1%

Recent Momentum (10-day) % -1.73%-2.53%

📊 Statistical Measures

Average Price 0.180.23

Median Price 0.180.23

Price Std Deviation 0.040.05

🚀 Returns & Growth

CAGR % -35.01%-39.49%

Annualized Return % -35.01%-39.49%

Total Return % -33.30%-37.63%

⚠️ Risk & Volatility

Daily Volatility % 6.98%4.40%

Annualized Volatility % 133.38%84.11%

Max Drawdown % -63.27%-59.06%

Sharpe Ratio 0.011-0.009

Sortino Ratio 0.016-0.009

Calmar Ratio -0.553-0.669

Ulcer Index 39.3934.29

📅 Daily Performance

Win Rate % 47.5%46.9%

Positive Days 163161

Negative Days 180182

Best Day % +96.26%+17.47%

Worst Day % -24.42%-23.75%

Avg Gain (Up Days) % +3.88%+3.24%

Avg Loss (Down Days) % -3.37%-2.94%

Profit Factor 1.040.98

🔥 Streaks & Patterns

Longest Win Streak days 76

Longest Loss Streak days 87

💹 Trading Metrics

Omega Ratio 1.0430.975

Expectancy % +0.08%-0.04%

Kelly Criterion % 0.59%0.00%

📅 Weekly Performance

Best Week % +70.10%+25.20%

Worst Week % -20.55%-19.45%

Weekly Win Rate % 51.9%50.0%

📆 Monthly Performance

Best Month % +58.98%+26.31%

Worst Month % -24.69%-26.33%

Monthly Win Rate % 30.8%23.1%

🔧 Technical Indicators

RSI (14-period) 34.4233.08

Price vs 50-Day MA % -8.37%-8.74%

Price vs 200-Day MA % +6.47%-19.81%

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 ID (ID):	0.790 (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

PYTH: Kraken
ID: Bybit