PYTH PYTH / FTT Crypto vs ARB ARB / 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 / FTTARB / FTT

📈 Performance Metrics

Start Price 0.220.33

End Price 0.130.35

Price Change % -40.77%+3.53%

Period High 0.260.67

Period Low 0.090.19

Price Range % 189.5%247.8%

🏆 All-Time Records

All-Time High 0.260.67

Days Since ATH 55 days40 days

Distance From ATH % -50.0%-48.5%

All-Time Low 0.090.19

Distance From ATL % +44.8%+79.0%

New ATHs Hit 2 times16 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.37%4.00%

Biggest Jump (1 Day) % +0.13+0.09

Biggest Drop (1 Day) % -0.05-0.14

Days Above Avg % 34.3%39.0%

Extreme Moves days 11 (3.2%)18 (5.2%)

Stability Score % 0.0%0.0%

Trend Strength % 50.7%52.5%

Recent Momentum (10-day) % -18.51%-17.63%

📊 Statistical Measures

Average Price 0.140.37

Median Price 0.130.35

Price Std Deviation 0.030.11

🚀 Returns & Growth

CAGR % -42.73%+3.76%

Annualized Return % -42.73%+3.76%

Total Return % -40.77%+3.53%

⚠️ Risk & Volatility

Daily Volatility % 7.85%5.82%

Annualized Volatility % 150.07%111.16%

Max Drawdown % -59.77%-54.26%

Sharpe Ratio 0.0150.032

Sortino Ratio 0.0180.030

Calmar Ratio -0.7150.069

Ulcer Index 41.1526.04

📅 Daily Performance

Win Rate % 49.1%52.5%

Positive Days 168180

Negative Days 174163

Best Day % +95.03%+25.61%

Worst Day % -29.08%-26.57%

Avg Gain (Up Days) % +4.55%+4.00%

Avg Loss (Down Days) % -4.17%-4.02%

Profit Factor 1.051.10

🔥 Streaks & Patterns

Longest Win Streak days 76

Longest Loss Streak days 88

💹 Trading Metrics

Omega Ratio 1.0541.097

Expectancy % +0.11%+0.18%

Kelly Criterion % 0.60%1.15%

📅 Weekly Performance

Best Week % +73.25%+46.96%

Worst Week % -28.61%-27.10%

Weekly Win Rate % 50.0%48.1%

📆 Monthly Performance

Best Month % +84.19%+46.80%

Worst Month % -52.59%-49.15%

Monthly Win Rate % 53.8%61.5%

🔧 Technical Indicators

RSI (14-period) 34.9130.10

Price vs 50-Day MA % -22.05%-30.06%

Price vs 200-Day MA % -8.82%-20.05%

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 ARB (ARB):	0.590 (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

PYTH: Kraken
ARB: Kraken