PYTH PYTH / DBR Crypto vs FTT FTT / USD 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / DBRFTT / USD
📈 Performance Metrics
Start Price 15.922.09
End Price 4.550.79
Price Change % -71.40%-62.18%
Period High 19.273.87
Period Low 3.040.72
Price Range % 534.8%434.4%
🏆 All-Time Records
All-Time High 19.273.87
Days Since ATH 321 days292 days
Distance From ATH % -76.4%-79.6%
All-Time Low 3.040.72
Distance From ATL % +49.9%+9.1%
New ATHs Hit 9 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.06%4.64%
Biggest Jump (1 Day) % +4.91+0.78
Biggest Drop (1 Day) % -3.92-0.49
Days Above Avg % 45.1%33.6%
Extreme Moves days 12 (3.5%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%54.1%
Recent Momentum (10-day) % -26.99%-11.99%
📊 Statistical Measures
Average Price 8.221.46
Median Price 7.551.08
Price Std Deviation 3.550.79
🚀 Returns & Growth
CAGR % -73.61%-64.36%
Annualized Return % -73.61%-64.36%
Total Return % -71.40%-62.18%
⚠️ Risk & Volatility
Daily Volatility % 9.03%5.83%
Annualized Volatility % 172.58%111.32%
Max Drawdown % -84.25%-81.29%
Sharpe Ratio -0.001-0.020
Sortino Ratio -0.001-0.023
Calmar Ratio -0.874-0.792
Ulcer Index 60.1764.52
📅 Daily Performance
Win Rate % 49.3%45.6%
Positive Days 169156
Negative Days 174186
Best Day % +99.43%+35.00%
Worst Day % -31.47%-20.03%
Avg Gain (Up Days) % +5.39%+4.36%
Avg Loss (Down Days) % -5.25%-3.87%
Profit Factor 1.000.94
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 79
💹 Trading Metrics
Omega Ratio 0.9980.944
Expectancy % -0.01%-0.12%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +81.88%+36.20%
Worst Week % -44.50%-24.69%
Weekly Win Rate % 50.0%53.8%
📆 Monthly Performance
Best Month % +78.81%+46.25%
Worst Month % -49.29%-41.51%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 47.3133.75
Price vs 50-Day MA % -22.73%-8.01%
Price vs 200-Day MA % -31.18%-14.93%

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 FTT (FTT): 0.673 (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
FTT: Bybit