STRK STRK / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset STRK / ACMPYTH / ACM
📈 Performance Metrics
Start Price 0.260.26
End Price 0.230.18
Price Change % -10.42%-32.11%
Period High 0.400.29
Period Low 0.110.11
Price Range % 248.4%172.3%
🏆 All-Time Records
All-Time High 0.400.29
Days Since ATH 320 days320 days
Distance From ATH % -41.6%-37.9%
All-Time Low 0.110.11
Distance From ATL % +103.5%+69.2%
New ATHs Hit 7 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.61%3.44%
Biggest Jump (1 Day) % +0.05+0.12
Biggest Drop (1 Day) % -0.04-0.05
Days Above Avg % 30.8%43.9%
Extreme Moves days 16 (4.7%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 49.0%53.1%
Recent Momentum (10-day) % +13.51%-3.78%
📊 Statistical Measures
Average Price 0.200.18
Median Price 0.180.18
Price Std Deviation 0.070.04
🚀 Returns & Growth
CAGR % -11.05%-33.78%
Annualized Return % -11.05%-33.78%
Total Return % -10.42%-32.11%
⚠️ Risk & Volatility
Daily Volatility % 5.22%7.03%
Annualized Volatility % 99.68%134.23%
Max Drawdown % -71.29%-63.27%
Sharpe Ratio 0.0200.012
Sortino Ratio 0.0210.018
Calmar Ratio -0.155-0.534
Ulcer Index 52.1539.51
📅 Daily Performance
Win Rate % 51.0%46.9%
Positive Days 175161
Negative Days 168182
Best Day % +29.34%+96.26%
Worst Day % -23.17%-24.42%
Avg Gain (Up Days) % +3.78%+3.98%
Avg Loss (Down Days) % -3.73%-3.36%
Profit Factor 1.061.05
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 68
💹 Trading Metrics
Omega Ratio 1.0571.047
Expectancy % +0.10%+0.08%
Kelly Criterion % 0.73%0.63%
📅 Weekly Performance
Best Week % +25.86%+70.10%
Worst Week % -23.48%-20.55%
Weekly Win Rate % 48.1%51.9%
📆 Monthly Performance
Best Month % +52.22%+58.98%
Worst Month % -24.02%-24.69%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 71.7248.64
Price vs 50-Day MA % +48.48%-1.02%
Price vs 200-Day MA % +50.01%+14.73%

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).

STRK (STRK) vs PYTH (PYTH): 0.891 (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

STRK: Kraken
PYTH: Kraken