PYTH PYTH / FTT Crypto vs XLM XLM / FTT Crypto

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

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Asset PYTH / FTTXLM / FTT
📈 Performance Metrics
Start Price 0.210.06
End Price 0.110.34
Price Change % -44.25%+481.48%
Period High 0.260.56
Period Low 0.090.05
Price Range % 189.5%922.9%
🏆 All-Time Records
All-Time High 0.260.56
Days Since ATH 46 days86 days
Distance From ATH % -56.8%-39.7%
All-Time Low 0.090.05
Distance From ATL % +25.0%+516.4%
New ATHs Hit 4 times33 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.36%4.04%
Biggest Jump (1 Day) % +0.13+0.09
Biggest Drop (1 Day) % -0.05-0.12
Days Above Avg % 35.2%43.0%
Extreme Moves days 11 (3.2%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%54.8%
Recent Momentum (10-day) % -4.92%+3.87%
📊 Statistical Measures
Average Price 0.140.27
Median Price 0.130.25
Price Std Deviation 0.030.12
🚀 Returns & Growth
CAGR % -46.30%+558.17%
Annualized Return % -46.30%+558.17%
Total Return % -44.25%+481.48%
⚠️ Risk & Volatility
Daily Volatility % 7.83%7.16%
Annualized Volatility % 149.59%136.74%
Max Drawdown % -62.63%-61.65%
Sharpe Ratio 0.0120.106
Sortino Ratio 0.0150.122
Calmar Ratio -0.7399.054
Ulcer Index 43.7622.64
📅 Daily Performance
Win Rate % 49.3%54.8%
Positive Days 169187
Negative Days 174154
Best Day % +95.03%+48.80%
Worst Day % -29.08%-26.67%
Avg Gain (Up Days) % +4.49%+4.85%
Avg Loss (Down Days) % -4.17%-4.21%
Profit Factor 1.041.40
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0451.401
Expectancy % +0.09%+0.76%
Kelly Criterion % 0.50%3.73%
📅 Weekly Performance
Best Week % +73.25%+89.34%
Worst Week % -28.61%-32.92%
Weekly Win Rate % 53.8%48.1%
📆 Monthly Performance
Best Month % +84.19%+278.87%
Worst Month % -52.59%-59.18%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 34.0538.88
Price vs 50-Day MA % -37.10%-21.97%
Price vs 200-Day MA % -21.16%-4.29%
💰 Volume Analysis
Avg Volume 1,768,3041,107,888
Total Volume 608,296,516378,897,650

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 XLM (XLM): 0.151 (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

PYTH: Kraken
XLM: Coinbase
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