PYTH PYTH / ACM Crypto vs STO STO / 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 / ACMSTO / ACM

📈 Performance Metrics

Start Price 0.220.24

End Price 0.170.29

Price Change % -25.92%+24.13%

Period High 0.290.30

Period Low 0.110.08

Price Range % 172.3%271.8%

🏆 All-Time Records

All-Time High 0.290.30

Days Since ATH 316 days1 days

Distance From ATH % -42.3%-0.3%

All-Time Low 0.110.08

Distance From ATL % +57.1%+270.7%

New ATHs Hit 9 times2 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.43%5.47%

Biggest Jump (1 Day) % +0.12+0.09

Biggest Drop (1 Day) % -0.05-0.05

Days Above Avg % 43.6%27.3%

Extreme Moves days 5 (1.5%)8 (4.9%)

Stability Score % 0.0%0.0%

Trend Strength % 52.5%51.2%

Recent Momentum (10-day) % +0.02%+102.22%

📊 Statistical Measures

Average Price 0.180.11

Median Price 0.180.10

Price Std Deviation 0.040.04

🚀 Returns & Growth

CAGR % -27.33%+61.78%

Annualized Return % -27.33%+61.78%

Total Return % -25.92%+24.13%

⚠️ Risk & Volatility

Daily Volatility % 6.99%7.95%

Annualized Volatility % 133.61%151.80%

Max Drawdown % -63.27%-66.52%

Sharpe Ratio 0.0150.054

Sortino Ratio 0.0230.062

Calmar Ratio -0.4320.929

Ulcer Index 39.2655.10

📅 Daily Performance

Win Rate % 47.5%51.2%

Positive Days 16384

Negative Days 18080

Best Day % +96.26%+48.87%

Worst Day % -24.42%-25.01%

Avg Gain (Up Days) % +3.94%+5.42%

Avg Loss (Down Days) % -3.36%-4.80%

Profit Factor 1.061.18

🔥 Streaks & Patterns

Longest Win Streak days 76

Longest Loss Streak days 85

💹 Trading Metrics

Omega Ratio 1.0611.184

Expectancy % +0.11%+0.43%

Kelly Criterion % 0.82%1.66%

📅 Weekly Performance

Best Week % +70.10%+36.23%

Worst Week % -20.55%-30.21%

Weekly Win Rate % 51.9%42.3%

📆 Monthly Performance

Best Month % +58.98%+89.65%

Worst Month % -24.69%-51.77%

Monthly Win Rate % 30.8%42.9%

🔧 Technical Indicators

RSI (14-period) 44.6291.59

Price vs 50-Day MA % -7.24%+147.30%

Price vs 200-Day MA % +6.68%N/A

💰 Volume Analysis

Avg Volume 1,912,54455,001,150

Total Volume 657,914,9779,075,189,739

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 STO (STO):	0.322 (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
STO: Binance