PYTH PYTH / BTRST Crypto vs ACM ACM / BTRST Crypto

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

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Asset PYTH / BTRSTACM / BTRST
📈 Performance Metrics
Start Price 1.174.32
End Price 0.594.29
Price Change % -49.55%-0.65%
Period High 1.175.43
Period Low 0.312.25
Price Range % 282.7%141.0%
🏆 All-Time Records
All-Time High 1.175.43
Days Since ATH 342 days32 days
Distance From ATH % -49.5%-20.9%
All-Time Low 0.312.25
Distance From ATL % +93.1%+90.5%
New ATHs Hit 0 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.94%3.80%
Biggest Jump (1 Day) % +0.56+0.95
Biggest Drop (1 Day) % -0.52-1.90
Days Above Avg % 39.9%38.8%
Extreme Moves days 8 (2.3%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 46.8%49.7%
Recent Momentum (10-day) % -15.74%-3.14%
📊 Statistical Measures
Average Price 0.653.78
Median Price 0.593.56
Price Std Deviation 0.180.72
🚀 Returns & Growth
CAGR % -51.82%-0.69%
Annualized Return % -51.82%-0.69%
Total Return % -49.55%-0.65%
⚠️ Risk & Volatility
Daily Volatility % 8.66%6.27%
Annualized Volatility % 165.42%119.71%
Max Drawdown % -73.87%-47.86%
Sharpe Ratio 0.0160.033
Sortino Ratio 0.0190.033
Calmar Ratio -0.701-0.015
Ulcer Index 46.6420.59
📅 Daily Performance
Win Rate % 53.2%50.3%
Positive Days 182172
Negative Days 160170
Best Day % +98.35%+31.24%
Worst Day % -44.47%-43.40%
Avg Gain (Up Days) % +4.76%+4.04%
Avg Loss (Down Days) % -5.11%-3.68%
Profit Factor 1.061.11
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 75
💹 Trading Metrics
Omega Ratio 1.0601.114
Expectancy % +0.14%+0.21%
Kelly Criterion % 0.59%1.40%
📅 Weekly Performance
Best Week % +83.28%+55.00%
Worst Week % -28.10%-25.03%
Weekly Win Rate % 53.8%59.6%
📆 Monthly Performance
Best Month % +81.86%+28.69%
Worst Month % -35.61%-16.79%
Monthly Win Rate % 38.5%53.8%
🔧 Technical Indicators
RSI (14-period) 21.3137.50
Price vs 50-Day MA % -25.84%-11.19%
Price vs 200-Day MA % -5.63%+5.72%

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 ACM (ACM): 0.589 (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
ACM: Binance
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