PYTH PYTH / DMAIL Crypto vs TUT TUT / DMAIL 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 / DMAILTUT / DMAIL
📈 Performance Metrics
Start Price 1.200.42
End Price 4.800.86
Price Change % +298.85%+106.62%
Period High 8.613.60
Period Low 0.630.14
Price Range % 1,257.4%2,492.7%
🏆 All-Time Records
All-Time High 8.613.60
Days Since ATH 46 days24 days
Distance From ATH % -44.3%-76.1%
All-Time Low 0.630.14
Distance From ATL % +656.4%+518.5%
New ATHs Hit 24 times28 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.28%8.24%
Biggest Jump (1 Day) % +4.85+1.52
Biggest Drop (1 Day) % -1.31-2.16
Days Above Avg % 22.1%34.3%
Extreme Moves days 8 (2.3%)10 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 56.3%58.5%
Recent Momentum (10-day) % +9.58%-17.49%
📊 Statistical Measures
Average Price 2.090.97
Median Price 1.660.75
Price Std Deviation 1.270.82
🚀 Returns & Growth
CAGR % +335.86%+276.01%
Annualized Return % +335.86%+276.01%
Total Return % +298.85%+106.62%
⚠️ Risk & Volatility
Daily Volatility % 10.31%11.98%
Annualized Volatility % 196.96%228.80%
Max Drawdown % -73.50%-79.50%
Sharpe Ratio 0.0810.102
Sortino Ratio 0.1040.095
Calmar Ratio 4.5693.472
Ulcer Index 32.8327.36
📅 Daily Performance
Win Rate % 56.3%58.5%
Positive Days 193117
Negative Days 15083
Best Day % +129.10%+73.24%
Worst Day % -33.36%-74.21%
Avg Gain (Up Days) % +6.12%+7.58%
Avg Loss (Down Days) % -5.96%-7.74%
Profit Factor 1.321.38
🔥 Streaks & Patterns
Longest Win Streak days 910
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.3211.381
Expectancy % +0.84%+1.22%
Kelly Criterion % 2.29%2.09%
📅 Weekly Performance
Best Week % +64.64%+55.76%
Worst Week % -40.25%-35.80%
Weekly Win Rate % 57.7%67.7%
📆 Monthly Performance
Best Month % +208.20%+321.21%
Worst Month % -52.94%-45.98%
Monthly Win Rate % 61.5%77.8%
🔧 Technical Indicators
RSI (14-period) 59.7434.87
Price vs 50-Day MA % -2.84%-60.97%
Price vs 200-Day MA % +97.93%-11.99%
💰 Volume Analysis
Avg Volume 34,702,9242,972,065,724
Total Volume 11,937,805,877597,385,210,434

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 TUT (TUT): 0.877 (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
TUT: Binance