PYTH PYTH / ACM Crypto vs POL POL / ACM Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / ACMPOL / ACM
📈 Performance Metrics
Start Price 0.250.34
End Price 0.120.21
Price Change % -52.08%-37.33%
Period High 0.270.34
Period Low 0.110.20
Price Range % 155.9%67.3%
🏆 All-Time Records
All-Time High 0.270.34
Days Since ATH 335 days340 days
Distance From ATH % -55.8%-37.6%
All-Time Low 0.110.20
Distance From ATL % +13.1%+4.4%
New ATHs Hit 2 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.51%2.73%
Biggest Jump (1 Day) % +0.12+0.03
Biggest Drop (1 Day) % -0.05-0.06
Days Above Avg % 48.5%45.9%
Extreme Moves days 6 (1.7%)21 (6.1%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%49.0%
Recent Momentum (10-day) % -10.65%-10.91%
📊 Statistical Measures
Average Price 0.170.27
Median Price 0.170.26
Price Std Deviation 0.040.03
🚀 Returns & Growth
CAGR % -54.29%-39.18%
Annualized Return % -54.29%-39.18%
Total Return % -52.08%-37.33%
⚠️ Risk & Volatility
Daily Volatility % 7.04%3.98%
Annualized Volatility % 134.46%75.97%
Max Drawdown % -60.93%-40.24%
Sharpe Ratio -0.002-0.014
Sortino Ratio -0.003-0.013
Calmar Ratio -0.891-0.974
Ulcer Index 38.7423.41
📅 Daily Performance
Win Rate % 45.9%51.0%
Positive Days 157175
Negative Days 185168
Best Day % +96.26%+12.81%
Worst Day % -24.42%-20.52%
Avg Gain (Up Days) % +3.98%+2.67%
Avg Loss (Down Days) % -3.41%-2.89%
Profit Factor 0.990.96
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.9910.961
Expectancy % -0.02%-0.05%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +70.10%+21.84%
Worst Week % -20.55%-20.86%
Weekly Win Rate % 47.2%37.7%
📆 Monthly Performance
Best Month % +58.98%+35.16%
Worst Month % -24.69%-21.60%
Monthly Win Rate % 23.1%23.1%
🔧 Technical Indicators
RSI (14-period) 16.8928.04
Price vs 50-Day MA % -24.36%-19.77%
Price vs 200-Day MA % -21.13%-17.94%

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 POL (POL): 0.810 (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
POL: Kraken