PYTH PYTH / DMAIL Crypto vs CFX CFX / DMAIL Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / DMAILCFX / DMAIL
📈 Performance Metrics
Start Price 1.480.69
End Price 21.0021.76
Price Change % +1,323.49%+3,037.75%
Period High 21.0021.76
Period Low 0.630.42
Price Range % 3,212.1%5,078.7%
🏆 All-Time Records
All-Time High 21.0021.76
Days Since ATH 1 days1 days
Distance From ATH % +0.0%+0.0%
All-Time Low 0.630.42
Distance From ATL % +3,212.1%+5,078.7%
New ATHs Hit 34 times51 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.56%6.32%
Biggest Jump (1 Day) % +7.27+7.71
Biggest Drop (1 Day) % -1.31-1.26
Days Above Avg % 24.7%32.0%
Extreme Moves days 8 (2.3%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 57.7%55.1%
Recent Momentum (10-day) % +52.46%+51.84%
📊 Statistical Measures
Average Price 2.772.50
Median Price 1.710.95
Price Std Deviation 2.653.00
🚀 Returns & Growth
CAGR % +1,587.84%+3,813.92%
Annualized Return % +1,587.84%+3,813.92%
Total Return % +1,323.49%+3,037.75%
⚠️ Risk & Volatility
Daily Volatility % 10.65%10.14%
Annualized Volatility % 203.54%193.69%
Max Drawdown % -73.50%-67.02%
Sharpe Ratio 0.1160.143
Sortino Ratio 0.1540.190
Calmar Ratio 21.60356.908
Ulcer Index 33.1326.12
📅 Daily Performance
Win Rate % 57.9%55.3%
Positive Days 198189
Negative Days 144153
Best Day % +129.10%+105.47%
Worst Day % -33.36%-32.18%
Avg Gain (Up Days) % +6.43%+6.90%
Avg Loss (Down Days) % -5.90%-5.26%
Profit Factor 1.501.62
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.4991.618
Expectancy % +1.24%+1.46%
Kelly Criterion % 3.26%4.01%
📅 Weekly Performance
Best Week % +64.64%+117.80%
Worst Week % -40.25%-40.61%
Weekly Win Rate % 61.5%57.7%
📆 Monthly Performance
Best Month % +208.20%+272.48%
Worst Month % -52.94%-42.66%
Monthly Win Rate % 61.5%69.2%
🔧 Technical Indicators
RSI (14-period) 92.4691.65
Price vs 50-Day MA % +182.08%+188.82%
Price vs 200-Day MA % +483.27%+488.14%

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 CFX (CFX): 0.975 (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
CFX: Binance