PYTH PYTH / ACM Crypto vs DIMO DIMO / 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 / ACMDIMO / ACM
📈 Performance Metrics
Start Price 0.240.11
End Price 0.110.03
Price Change % -52.73%-76.65%
Period High 0.250.12
Period Low 0.110.02
Price Range % 134.9%400.0%
🏆 All-Time Records
All-Time High 0.250.12
Days Since ATH 317 days327 days
Distance From ATH % -55.0%-79.6%
All-Time Low 0.110.02
Distance From ATL % +5.8%+1.8%
New ATHs Hit 4 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.47%4.76%
Biggest Jump (1 Day) % +0.12+0.03
Biggest Drop (1 Day) % -0.05-0.04
Days Above Avg % 47.1%53.9%
Extreme Moves days 6 (1.7%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 54.2%58.2%
Recent Momentum (10-day) % -6.92%-13.95%
📊 Statistical Measures
Average Price 0.170.07
Median Price 0.160.07
Price Std Deviation 0.040.02
🚀 Returns & Growth
CAGR % -54.95%-78.83%
Annualized Return % -54.95%-78.83%
Total Return % -52.73%-76.65%
⚠️ Risk & Volatility
Daily Volatility % 7.00%8.79%
Annualized Volatility % 133.76%167.93%
Max Drawdown % -57.44%-80.00%
Sharpe Ratio -0.003-0.009
Sortino Ratio -0.005-0.012
Calmar Ratio -0.957-0.985
Ulcer Index 35.8145.95
📅 Daily Performance
Win Rate % 45.8%41.8%
Positive Days 157143
Negative Days 186199
Best Day % +96.26%+61.76%
Worst Day % -24.42%-35.18%
Avg Gain (Up Days) % +3.90%+5.57%
Avg Loss (Down Days) % -3.34%-4.13%
Profit Factor 0.990.97
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.9880.968
Expectancy % -0.02%-0.08%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +70.10%+34.66%
Worst Week % -20.55%-36.24%
Weekly Win Rate % 48.1%40.4%
📆 Monthly Performance
Best Month % +58.98%+33.78%
Worst Month % -24.69%-39.80%
Monthly Win Rate % 30.8%46.2%
🔧 Technical Indicators
RSI (14-period) 31.1027.63
Price vs 50-Day MA % -19.64%-31.09%
Price vs 200-Day MA % -23.86%-57.31%

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 DIMO (DIMO): 0.715 (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
DIMO: Coinbase