PYR PYR / ACM Crypto vs PYTH PYTH / 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

Model:

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

Asset PYR / ACMPYTH / ACM

📈 Performance Metrics

Start Price 1.770.27

End Price 1.300.17

Price Change % -26.79%-35.83%

Period High 2.330.29

Period Low 0.860.11

Price Range % 171.4%172.3%

🏆 All-Time Records

All-Time High 2.330.29

Days Since ATH 324 days325 days

Distance From ATH % -44.4%-40.6%

All-Time Low 0.860.11

Distance From ATL % +51.0%+61.8%

New ATHs Hit 5 times5 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.45%3.47%

Biggest Jump (1 Day) % +0.87+0.12

Biggest Drop (1 Day) % -0.44-0.05

Days Above Avg % 40.5%43.6%

Extreme Moves days 9 (2.6%)6 (1.7%)

Stability Score % 0.0%0.0%

Trend Strength % 49.4%53.1%

Recent Momentum (10-day) % +12.48%-5.61%

📊 Statistical Measures

Average Price 1.480.18

Median Price 1.370.18

Price Std Deviation 0.380.04

🚀 Returns & Growth

CAGR % -28.31%-37.63%

Annualized Return % -28.31%-37.63%

Total Return % -26.79%-35.83%

⚠️ Risk & Volatility

Daily Volatility % 6.90%7.04%

Annualized Volatility % 131.89%134.47%

Max Drawdown % -63.15%-63.27%

Sharpe Ratio 0.0150.010

Sortino Ratio 0.0200.014

Calmar Ratio -0.448-0.595

Ulcer Index 39.6739.81

📅 Daily Performance

Win Rate % 50.6%46.9%

Positive Days 173161

Negative Days 169182

Best Day % +92.22%+96.26%

Worst Day % -24.44%-24.42%

Avg Gain (Up Days) % +3.63%+3.98%

Avg Loss (Down Days) % -3.50%-3.40%

Profit Factor 1.061.04

🔥 Streaks & Patterns

Longest Win Streak days 77

Longest Loss Streak days 98

💹 Trading Metrics

Omega Ratio 1.0611.038

Expectancy % +0.11%+0.07%

Kelly Criterion % 0.83%0.51%

📅 Weekly Performance

Best Week % +45.20%+70.10%

Worst Week % -21.51%-20.55%

Weekly Win Rate % 50.0%51.9%

📆 Monthly Performance

Best Month % +34.57%+58.98%

Worst Month % -20.36%-24.69%

Monthly Win Rate % 38.5%30.8%

🔧 Technical Indicators

RSI (14-period) 64.8043.95

Price vs 50-Day MA % +12.23%-3.90%

Price vs 200-Day MA % +7.23%+9.61%

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).

PYR (PYR) vs PYTH (PYTH):	0.840 (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

PYR: Coinbase
PYTH: Kraken