PYTH PYTH / ACM Crypto vs DNT DNT / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / ACMDNT / USD
📈 Performance Metrics
Start Price 0.230.03
End Price 0.170.02
Price Change % -24.81%-44.51%
Period High 0.290.07
Period Low 0.110.02
Price Range % 172.3%277.1%
🏆 All-Time Records
All-Time High 0.290.07
Days Since ATH 315 days310 days
Distance From ATH % -39.4%-73.5%
All-Time Low 0.110.02
Distance From ATL % +65.1%+0.0%
New ATHs Hit 9 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.43%3.99%
Biggest Jump (1 Day) % +0.12+0.03
Biggest Drop (1 Day) % -0.05-0.02
Days Above Avg % 43.3%32.5%
Extreme Moves days 5 (1.5%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 52.5%52.8%
Recent Momentum (10-day) % +1.70%-5.35%
📊 Statistical Measures
Average Price 0.180.03
Median Price 0.180.03
Price Std Deviation 0.040.01
🚀 Returns & Growth
CAGR % -26.17%-46.76%
Annualized Return % -26.17%-46.76%
Total Return % -24.81%-44.51%
⚠️ Risk & Volatility
Daily Volatility % 6.99%7.11%
Annualized Volatility % 133.57%135.77%
Max Drawdown % -63.27%-73.48%
Sharpe Ratio 0.0160.005
Sortino Ratio 0.0240.008
Calmar Ratio -0.414-0.636
Ulcer Index 39.1854.13
📅 Daily Performance
Win Rate % 47.5%45.0%
Positive Days 163147
Negative Days 180180
Best Day % +96.26%+86.23%
Worst Day % -24.42%-22.19%
Avg Gain (Up Days) % +3.94%+4.30%
Avg Loss (Down Days) % -3.35%-3.44%
Profit Factor 1.061.02
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0641.021
Expectancy % +0.11%+0.04%
Kelly Criterion % 0.85%0.27%
📅 Weekly Performance
Best Week % +70.10%+29.24%
Worst Week % -20.55%-17.51%
Weekly Win Rate % 50.9%44.2%
📆 Monthly Performance
Best Month % +58.98%+63.87%
Worst Month % -24.69%-21.41%
Monthly Win Rate % 30.8%30.8%
🔧 Technical Indicators
RSI (14-period) 46.8020.16
Price vs 50-Day MA % -2.14%-28.77%
Price vs 200-Day MA % +12.02%-30.44%
💰 Volume Analysis
Avg Volume 1,892,7809,146,131
Total Volume 651,116,1663,127,976,733

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 DNT (DNT): 0.791 (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
DNT: Coinbase
ByBit Futures Trading Trade hundreds of crypto perpetual futures