PYTH PYTH / ACM Crypto vs TOKEN TOKEN / 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 PYTH / ACMTOKEN / ACM

📈 Performance Metrics

Start Price 0.230.03

End Price 0.120.01

Price Change % -49.08%-80.90%

Period High 0.270.04

Period Low 0.110.01

Price Range % 155.9%459.8%

🏆 All-Time Records

All-Time High 0.270.04

Days Since ATH 336 days305 days

Distance From ATH % -55.7%-81.5%

All-Time Low 0.110.01

Distance From ATL % +13.4%+3.3%

New ATHs Hit 3 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.49%5.04%

Biggest Jump (1 Day) % +0.12+0.01

Biggest Drop (1 Day) % -0.05-0.01

Days Above Avg % 48.3%44.3%

Extreme Moves days 6 (1.7%)12 (3.9%)

Stability Score % 0.0%0.0%

Trend Strength % 53.9%56.2%

Recent Momentum (10-day) % -9.83%-21.95%

📊 Statistical Measures

Average Price 0.170.02

Median Price 0.170.02

Price Std Deviation 0.040.01

🚀 Returns & Growth

CAGR % -51.24%-86.12%

Annualized Return % -51.24%-86.12%

Total Return % -49.08%-80.90%

⚠️ Risk & Volatility

Daily Volatility % 7.03%7.06%

Annualized Volatility % 134.34%134.81%

Max Drawdown % -60.93%-82.14%

Sharpe Ratio 0.000-0.043

Sortino Ratio 0.000-0.050

Calmar Ratio -0.841-1.049

Ulcer Index 38.8551.27

📅 Daily Performance

Win Rate % 46.1%43.6%

Positive Days 158133

Negative Days 185172

Best Day % +96.26%+60.75%

Worst Day % -24.42%-23.99%

Avg Gain (Up Days) % +3.96%+5.16%

Avg Loss (Down Days) % -3.38%-4.53%

Profit Factor 1.000.88

🔥 Streaks & Patterns

Longest Win Streak days 74

Longest Loss Streak days 810

💹 Trading Metrics

Omega Ratio 1.0010.880

Expectancy % +0.00%-0.31%

Kelly Criterion % 0.01%0.00%

📅 Weekly Performance

Best Week % +70.10%+17.99%

Worst Week % -20.55%-29.82%

Weekly Win Rate % 48.1%39.1%

📆 Monthly Performance

Best Month % +58.98%+50.86%

Worst Month % -24.69%-30.45%

Monthly Win Rate % 30.8%16.7%

🔧 Technical Indicators

RSI (14-period) 19.9421.74

Price vs 50-Day MA % -23.59%-38.87%

Price vs 200-Day MA % -20.74%-60.06%

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 TOKEN (TOKEN):	0.513 (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
TOKEN: Kraken