PYTH PYTH / FTT Crypto vs GAIA GAIA / FTT 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 PYTH / FTTGAIA / FTT

📈 Performance Metrics

Start Price 0.210.09

End Price 0.140.10

Price Change % -35.69%+8.02%

Period High 0.260.14

Period Low 0.090.05

Price Range % 189.5%173.2%

🏆 All-Time Records

All-Time High 0.260.14

Days Since ATH 53 days45 days

Distance From ATH % -47.9%-28.9%

All-Time Low 0.090.05

Distance From ATL % +50.8%+94.4%

New ATHs Hit 4 times8 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.36%7.43%

Biggest Jump (1 Day) % +0.13+0.03

Biggest Drop (1 Day) % -0.05-0.04

Days Above Avg % 34.6%44.6%

Extreme Moves days 11 (3.2%)5 (6.1%)

Stability Score % 0.0%0.0%

Trend Strength % 50.4%53.7%

Recent Momentum (10-day) % -24.66%+13.57%

📊 Statistical Measures

Average Price 0.140.10

Median Price 0.130.09

Price Std Deviation 0.030.03

🚀 Returns & Growth

CAGR % -37.49%+40.95%

Annualized Return % -37.49%+40.95%

Total Return % -35.69%+8.02%

⚠️ Risk & Volatility

Daily Volatility % 7.85%10.68%

Annualized Volatility % 150.04%203.95%

Max Drawdown % -59.77%-49.99%

Sharpe Ratio 0.0180.065

Sortino Ratio 0.0220.064

Calmar Ratio -0.6270.819

Ulcer Index 40.9727.81

📅 Daily Performance

Win Rate % 49.6%53.7%

Positive Days 17044

Negative Days 17338

Best Day % +95.03%+32.55%

Worst Day % -29.08%-43.05%

Avg Gain (Up Days) % +4.52%+7.80%

Avg Loss (Down Days) % -4.17%-7.52%

Profit Factor 1.071.20

🔥 Streaks & Patterns

Longest Win Streak days 76

Longest Loss Streak days 85

💹 Trading Metrics

Omega Ratio 1.0661.201

Expectancy % +0.14%+0.70%

Kelly Criterion % 0.73%1.19%

📅 Weekly Performance

Best Week % +73.25%+55.87%

Worst Week % -28.61%-38.37%

Weekly Win Rate % 51.9%50.0%

📆 Monthly Performance

Best Month % +84.19%+144.92%

Worst Month % -52.59%-45.83%

Monthly Win Rate % 53.8%60.0%

🔧 Technical Indicators

RSI (14-period) 39.6860.61

Price vs 50-Day MA % -20.26%-4.82%

Price vs 200-Day MA % -5.04%N/A

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 GAIA (GAIA):	0.744 (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
GAIA: Kraken