TRAC TRAC / PYTH Crypto vs QNT QNT / PYTH Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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🤖 AI Analysis

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Asset TRAC / PYTHQNT / PYTH

📈 Performance Metrics

Start Price 2.03151.24

End Price 6.44823.97

Price Change % +217.19%+444.81%

Period High 6.781,110.08

Period Low 1.65151.24

Price Range % 311.0%634.0%

🏆 All-Time Records

All-Time High 6.781,110.08

Days Since ATH 8 days107 days

Distance From ATH % -5.0%-25.8%

All-Time Low 1.65151.24

Distance From ATL % +290.3%+444.8%

New ATHs Hit 19 times51 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.37%3.41%

Biggest Jump (1 Day) % +2.39+118.55

Biggest Drop (1 Day) % -1.66-443.92

Days Above Avg % 38.1%43.3%

Extreme Moves days 11 (3.2%)14 (4.1%)

Stability Score % 0.0%99.1%

Trend Strength % 49.3%52.8%

Recent Momentum (10-day) % +71.14%+22.06%

📊 Statistical Measures

Average Price 2.82605.05

Median Price 2.56529.97

Price Std Deviation 0.87257.73

🚀 Returns & Growth

CAGR % +241.56%+507.39%

Annualized Return % +241.56%+507.39%

Total Return % +217.19%+444.81%

⚠️ Risk & Volatility

Daily Volatility % 7.52%5.52%

Annualized Volatility % 143.76%105.44%

Max Drawdown % -60.44%-59.04%

Sharpe Ratio 0.0800.120

Sortino Ratio 0.1030.120

Calmar Ratio 3.9978.594

Ulcer Index 20.1919.41

📅 Daily Performance

Win Rate % 49.3%52.8%

Positive Days 169181

Negative Days 174162

Best Day % +79.87%+29.86%

Worst Day % -49.38%-49.40%

Avg Gain (Up Days) % +5.12%+4.05%

Avg Loss (Down Days) % -3.78%-3.12%

Profit Factor 1.311.45

🔥 Streaks & Patterns

Longest Win Streak days 47

Longest Loss Streak days 68

💹 Trading Metrics

Omega Ratio 1.3151.451

Expectancy % +0.60%+0.66%

Kelly Criterion % 3.12%5.27%

📅 Weekly Performance

Best Week % +25.17%+39.50%

Worst Week % -45.90%-38.74%

Weekly Win Rate % 46.2%63.5%

📆 Monthly Performance

Best Month % +37.56%+66.89%

Worst Month % -52.86%-43.26%

Monthly Win Rate % 61.5%76.9%

🔧 Technical Indicators

RSI (14-period) 87.5772.85

Price vs 50-Day MA % +93.90%+22.14%

Price vs 200-Day MA % +101.16%+6.42%

💰 Volume Analysis

Avg Volume 802,85120,209

Total Volume 276,180,7526,931,619

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).

TRAC (TRAC) vs QNT (QNT):	0.654 (Moderate 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

TRAC: Kraken
QNT: Kraken