TUT TUT / ALGO Crypto vs PYTH PYTH / ALGO 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 TUT / ALGOPYTH / ALGO
📈 Performance Metrics
Start Price 0.232.81
End Price 0.110.57
Price Change % -53.27%-79.58%
Period High 0.512.81
Period Low 0.100.41
Price Range % 397.6%593.6%
🏆 All-Time Records
All-Time High 0.512.81
Days Since ATH 33 days343 days
Distance From ATH % -79.4%-79.6%
All-Time Low 0.100.41
Distance From ATL % +2.6%+41.6%
New ATHs Hit 9 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.70%3.72%
Biggest Jump (1 Day) % +0.24+0.44
Biggest Drop (1 Day) % -0.29-0.43
Days Above Avg % 48.6%32.0%
Extreme Moves days 8 (3.8%)8 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 45.0%53.9%
Recent Momentum (10-day) % -65.81%-14.75%
📊 Statistical Measures
Average Price 0.220.77
Median Price 0.220.71
Price Std Deviation 0.090.32
🚀 Returns & Growth
CAGR % -73.52%-81.56%
Annualized Return % -73.52%-81.56%
Total Return % -53.27%-79.58%
⚠️ Risk & Volatility
Daily Volatility % 11.00%6.89%
Annualized Volatility % 210.23%131.68%
Max Drawdown % -79.90%-85.58%
Sharpe Ratio 0.031-0.039
Sortino Ratio 0.030-0.055
Calmar Ratio -0.920-0.953
Ulcer Index 36.7873.52
📅 Daily Performance
Win Rate % 55.0%46.1%
Positive Days 115158
Negative Days 94185
Best Day % +85.71%+94.89%
Worst Day % -72.31%-26.08%
Avg Gain (Up Days) % +5.87%+3.23%
Avg Loss (Down Days) % -6.43%-3.26%
Profit Factor 1.120.85
🔥 Streaks & Patterns
Longest Win Streak days 126
Longest Loss Streak days 710
💹 Trading Metrics
Omega Ratio 1.1170.846
Expectancy % +0.34%-0.27%
Kelly Criterion % 0.90%0.00%
📅 Weekly Performance
Best Week % +30.75%+76.23%
Worst Week % -40.70%-39.02%
Weekly Win Rate % 62.5%50.0%
📆 Monthly Performance
Best Month % +121.20%+68.82%
Worst Month % -31.65%-60.15%
Monthly Win Rate % 55.6%30.8%
🔧 Technical Indicators
RSI (14-period) 13.5926.64
Price vs 50-Day MA % -63.67%-15.12%
Price vs 200-Day MA % -52.62%-6.68%

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).

TUT (TUT) vs PYTH (PYTH): -0.028 (Weak)

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

TUT: Binance
PYTH: Kraken