PYTH PYTH / ACM Crypto vs Q Q / USD 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 / ACMQ / USD
📈 Performance Metrics
Start Price 0.230.01
End Price 0.160.02
Price Change % -29.27%+85.91%
Period High 0.290.05
Period Low 0.110.01
Price Range % 172.3%452.4%
🏆 All-Time Records
All-Time High 0.290.05
Days Since ATH 317 days7 days
Distance From ATH % -42.9%-62.0%
All-Time Low 0.110.01
Distance From ATL % +55.4%+109.8%
New ATHs Hit 8 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.43%11.14%
Biggest Jump (1 Day) % +0.12+0.01
Biggest Drop (1 Day) % -0.05-0.02
Days Above Avg % 43.3%55.8%
Extreme Moves days 5 (1.5%)3 (7.1%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%52.4%
Recent Momentum (10-day) % -0.38%-9.86%
📊 Statistical Measures
Average Price 0.180.02
Median Price 0.180.02
Price Std Deviation 0.040.01
🚀 Returns & Growth
CAGR % -30.82%+21,794.24%
Annualized Return % -30.82%+21,794.24%
Total Return % -29.27%+85.91%
⚠️ Risk & Volatility
Daily Volatility % 6.99%19.84%
Annualized Volatility % 133.57%379.01%
Max Drawdown % -63.27%-62.03%
Sharpe Ratio 0.0130.163
Sortino Ratio 0.0200.228
Calmar Ratio -0.487351.372
Ulcer Index 39.3326.20
📅 Daily Performance
Win Rate % 47.2%52.4%
Positive Days 16222
Negative Days 18120
Best Day % +96.26%+87.44%
Worst Day % -24.42%-47.09%
Avg Gain (Up Days) % +3.94%+14.54%
Avg Loss (Down Days) % -3.35%-9.22%
Profit Factor 1.051.73
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 83
💹 Trading Metrics
Omega Ratio 1.0531.735
Expectancy % +0.09%+3.23%
Kelly Criterion % 0.71%2.41%
📅 Weekly Performance
Best Week % +70.10%+22.03%
Worst Week % -20.55%-44.58%
Weekly Win Rate % 51.9%50.0%
📆 Monthly Performance
Best Month % +58.98%+247.32%
Worst Month % -24.69%-22.64%
Monthly Win Rate % 30.8%33.3%
🔧 Technical Indicators
RSI (14-period) 46.0136.69
Price vs 50-Day MA % -8.74%N/A
Price vs 200-Day MA % +5.51%N/A

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 Q (Q): 0.303 (Moderate 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
Q: Kraken