TRAC TRAC / FORTH Crypto vs PYTH PYTH / FORTH 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset TRAC / FORTHPYTH / FORTH

📈 Performance Metrics

Start Price 0.230.13

End Price 0.300.05

Price Change % +27.46%-64.04%

Period High 0.310.14

Period Low 0.100.04

Price Range % 199.6%274.2%

🏆 All-Time Records

All-Time High 0.310.14

Days Since ATH 7 days340 days

Distance From ATH % -5.6%-65.2%

All-Time Low 0.100.04

Distance From ATL % +182.8%+30.3%

New ATHs Hit 2 times2 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.72%4.10%

Biggest Jump (1 Day) % +0.08+0.04

Biggest Drop (1 Day) % -0.07-0.02

Days Above Avg % 31.4%37.5%

Extreme Moves days 20 (5.8%)9 (2.6%)

Stability Score % 0.0%0.0%

Trend Strength % 47.8%55.1%

Recent Momentum (10-day) % +57.19%-16.90%

📊 Statistical Measures

Average Price 0.160.06

Median Price 0.150.06

Price Std Deviation 0.040.02

🚀 Returns & Growth

CAGR % +29.46%-66.33%

Annualized Return % +29.46%-66.33%

Total Return % +27.46%-64.04%

⚠️ Risk & Volatility

Daily Volatility % 7.06%8.06%

Annualized Volatility % 134.97%154.00%

Max Drawdown % -62.33%-73.28%

Sharpe Ratio 0.045-0.003

Sortino Ratio 0.052-0.003

Calmar Ratio 0.473-0.905

Ulcer Index 44.4557.88

📅 Daily Performance

Win Rate % 47.8%44.9%

Positive Days 164154

Negative Days 179189

Best Day % +45.81%+101.56%

Worst Day % -35.97%-35.54%

Avg Gain (Up Days) % +5.21%+4.63%

Avg Loss (Down Days) % -4.17%-3.81%

Profit Factor 1.150.99

🔥 Streaks & Patterns

Longest Win Streak days 55

Longest Loss Streak days 58

💹 Trading Metrics

Omega Ratio 1.1460.990

Expectancy % +0.32%-0.02%

Kelly Criterion % 1.46%0.00%

📅 Weekly Performance

Best Week % +39.28%+67.10%

Worst Week % -33.65%-33.96%

Weekly Win Rate % 38.5%46.2%

📆 Monthly Performance

Best Month % +39.08%+45.57%

Worst Month % -33.89%-42.52%

Monthly Win Rate % 46.2%23.1%

🔧 Technical Indicators

RSI (14-period) 77.2335.66

Price vs 50-Day MA % +68.79%-15.66%

Price vs 200-Day MA % +87.48%-5.66%

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 PYTH (PYTH):	0.537 (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
PYTH: Kraken