PYTH PYTH / ACM Crypto vs JITOSOL JITOSOL / 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 PYTH / ACMJITOSOL / ACM
📈 Performance Metrics
Start Price 0.27228.19
End Price 0.18334.59
Price Change % -34.47%+46.63%
Period High 0.29370.35
Period Low 0.11193.69
Price Range % 172.3%91.2%
🏆 All-Time Records
All-Time High 0.29370.35
Days Since ATH 323 days10 days
Distance From ATH % -38.3%-9.7%
All-Time Low 0.11193.69
Distance From ATL % +68.1%+72.7%
New ATHs Hit 3 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.46%3.04%
Biggest Jump (1 Day) % +0.12+52.08
Biggest Drop (1 Day) % -0.05-33.32
Days Above Avg % 43.9%44.4%
Extreme Moves days 6 (1.7%)5 (4.3%)
Stability Score % 0.0%98.5%
Trend Strength % 52.8%56.0%
Recent Momentum (10-day) % -6.58%+4.94%
📊 Statistical Measures
Average Price 0.18270.25
Median Price 0.18264.76
Price Std Deviation 0.0444.32
🚀 Returns & Growth
CAGR % -36.22%+233.44%
Annualized Return % -36.22%+233.44%
Total Return % -34.47%+46.63%
⚠️ Risk & Volatility
Daily Volatility % 7.04%4.17%
Annualized Volatility % 134.44%79.69%
Max Drawdown % -63.27%-33.95%
Sharpe Ratio 0.0110.100
Sortino Ratio 0.0160.096
Calmar Ratio -0.5726.876
Ulcer Index 39.6913.92
📅 Daily Performance
Win Rate % 47.1%56.5%
Positive Days 16165
Negative Days 18150
Best Day % +96.26%+16.36%
Worst Day % -24.42%-13.55%
Avg Gain (Up Days) % +3.98%+3.15%
Avg Loss (Down Days) % -3.40%-3.13%
Profit Factor 1.041.31
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.0421.310
Expectancy % +0.08%+0.42%
Kelly Criterion % 0.56%4.27%
📅 Weekly Performance
Best Week % +70.10%+13.72%
Worst Week % -20.55%-18.16%
Weekly Win Rate % 51.9%57.9%
📆 Monthly Performance
Best Month % +58.98%+22.62%
Worst Month % -24.69%-9.65%
Monthly Win Rate % 38.5%66.7%
🔧 Technical Indicators
RSI (14-period) 47.2455.94
Price vs 50-Day MA % -0.41%+6.46%
Price vs 200-Day MA % +13.89%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 JITOSOL (JITOSOL): 0.793 (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
JITOSOL: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures