PYTH PYTH / USD Crypto vs ACT ACT / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / USDACT / USD

📈 Performance Metrics

Start Price 0.380.20

End Price 0.060.03

Price Change % -84.71%-83.01%

Period High 0.400.24

Period Low 0.050.02

Price Range % 633.0%1,361.2%

🏆 All-Time Records

All-Time High 0.400.24

Days Since ATH 329 days301 days

Distance From ATH % -85.3%-85.8%

All-Time Low 0.050.02

Distance From ATL % +8.1%+107.4%

New ATHs Hit 2 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.51%5.28%

Biggest Jump (1 Day) % +0.11+0.06

Biggest Drop (1 Day) % -0.05-0.11

Days Above Avg % 35.8%22.0%

Extreme Moves days 6 (1.7%)15 (4.9%)

Stability Score % 0.0%0.0%

Trend Strength % 53.1%49.0%

Recent Momentum (10-day) % -13.55%+33.63%

📊 Statistical Measures

Average Price 0.160.07

Median Price 0.140.04

Price Std Deviation 0.080.06

🚀 Returns & Growth

CAGR % -86.44%-87.76%

Annualized Return % -86.44%-87.76%

Total Return % -84.71%-83.01%

⚠️ Risk & Volatility

Daily Volatility % 7.90%8.23%

Annualized Volatility % 150.92%157.14%

Max Drawdown % -86.36%-93.16%

Sharpe Ratio -0.036-0.023

Sortino Ratio -0.047-0.022

Calmar Ratio -1.001-0.942

Ulcer Index 63.1274.36

📅 Daily Performance

Win Rate % 46.8%50.3%

Positive Days 160153

Negative Days 182151

Best Day % +99.34%+35.49%

Worst Day % -32.57%-56.91%

Avg Gain (Up Days) % +4.61%+5.05%

Avg Loss (Down Days) % -4.59%-5.51%

Profit Factor 0.880.93

🔥 Streaks & Patterns

Longest Win Streak days 78

Longest Loss Streak days 66

💹 Trading Metrics

Omega Ratio 0.8830.928

Expectancy % -0.29%-0.20%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+62.57%

Worst Week % -23.21%-71.94%

Weekly Win Rate % 48.1%52.2%

📆 Monthly Performance

Best Month % +65.32%+61.23%

Worst Month % -32.91%-33.05%

Monthly Win Rate % 30.8%50.0%

🔧 Technical Indicators

RSI (14-period) 32.4973.76

Price vs 50-Day MA % -23.56%+53.24%

Price vs 200-Day MA % -50.15%-9.03%

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 ACT (ACT):	0.688 (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
ACT: Kraken