PYTH PYTH / BTT Crypto vs ACM ACM / USD 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 PYTH / BTTACM / USD
📈 Performance Metrics
Start Price 410,768.291.46
End Price 216,611.760.56
Price Change % -47.27%-61.36%
Period High 471,022.222.07
Period Low 151,061.950.56
Price Range % 211.8%268.9%
🏆 All-Time Records
All-Time High 471,022.222.07
Days Since ATH 339 days310 days
Distance From ATH % -54.0%-72.8%
All-Time Low 151,061.950.56
Distance From ATL % +43.4%+0.2%
New ATHs Hit 4 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.65%2.89%
Biggest Jump (1 Day) % +171,131.86+0.26
Biggest Drop (1 Day) % -75,534.49-0.27
Days Above Avg % 43.6%31.4%
Extreme Moves days 7 (2.0%)14 (4.1%)
Stability Score % 100.0%0.0%
Trend Strength % 50.4%51.6%
Recent Momentum (10-day) % -3.93%-14.37%
📊 Statistical Measures
Average Price 244,267.101.08
Median Price 231,587.250.94
Price Std Deviation 66,777.720.34
🚀 Returns & Growth
CAGR % -49.39%-63.65%
Annualized Return % -49.39%-63.65%
Total Return % -47.27%-61.36%
⚠️ Risk & Volatility
Daily Volatility % 7.05%4.48%
Annualized Volatility % 134.78%85.54%
Max Drawdown % -67.93%-72.89%
Sharpe Ratio 0.001-0.039
Sortino Ratio 0.002-0.041
Calmar Ratio -0.727-0.873
Ulcer Index 50.1850.07
📅 Daily Performance
Win Rate % 49.4%47.2%
Positive Days 169158
Negative Days 173177
Best Day % +99.04%+27.66%
Worst Day % -18.17%-29.15%
Avg Gain (Up Days) % +3.72%+2.89%
Avg Loss (Down Days) % -3.62%-2.92%
Profit Factor 1.000.88
🔥 Streaks & Patterns
Longest Win Streak days 54
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0050.883
Expectancy % +0.01%-0.18%
Kelly Criterion % 0.06%0.00%
📅 Weekly Performance
Best Week % +66.63%+27.70%
Worst Week % -17.57%-18.97%
Weekly Win Rate % 57.7%48.1%
📆 Monthly Performance
Best Month % +69.13%+26.44%
Worst Month % -25.63%-18.00%
Monthly Win Rate % 30.8%38.5%
🔧 Technical Indicators
RSI (14-period) 38.009.21
Price vs 50-Day MA % -14.93%-35.28%
Price vs 200-Day MA % +5.65%-35.47%

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): 0.813 (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
ACM: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures