PYTH PYTH / BNC 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 / BNCFTT / USD
📈 Performance Metrics
Start Price 2.101.92
End Price 1.140.80
Price Change % -45.64%-58.58%
Period High 2.203.87
Period Low 0.730.72
Price Range % 202.0%434.4%
🏆 All-Time Records
All-Time High 2.203.87
Days Since ATH 52 days291 days
Distance From ATH % -47.9%-79.4%
All-Time Low 0.730.72
Distance From ATL % +57.4%+9.9%
New ATHs Hit 3 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.05%4.66%
Biggest Jump (1 Day) % +1.11+0.78
Biggest Drop (1 Day) % -0.52-0.49
Days Above Avg % 40.1%33.9%
Extreme Moves days 7 (2.0%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 51.6%53.8%
Recent Momentum (10-day) % -30.14%-12.19%
📊 Statistical Measures
Average Price 1.241.46
Median Price 1.141.08
Price Std Deviation 0.320.78
🚀 Returns & Growth
CAGR % -47.72%-60.75%
Annualized Return % -47.72%-60.75%
Total Return % -45.64%-58.58%
⚠️ Risk & Volatility
Daily Volatility % 7.72%5.85%
Annualized Volatility % 147.42%111.69%
Max Drawdown % -66.50%-81.29%
Sharpe Ratio 0.008-0.015
Sortino Ratio 0.012-0.018
Calmar Ratio -0.718-0.747
Ulcer Index 45.3564.38
📅 Daily Performance
Win Rate % 48.2%45.9%
Positive Days 165157
Negative Days 177185
Best Day % +102.96%+35.00%
Worst Day % -32.37%-20.03%
Avg Gain (Up Days) % +4.25%+4.39%
Avg Loss (Down Days) % -3.84%-3.89%
Profit Factor 1.030.96
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.0330.957
Expectancy % +0.06%-0.09%
Kelly Criterion % 0.40%0.00%
📅 Weekly Performance
Best Week % +76.91%+36.20%
Worst Week % -26.42%-24.69%
Weekly Win Rate % 39.6%50.9%
📆 Monthly Performance
Best Month % +81.59%+46.25%
Worst Month % -22.30%-41.51%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 45.8932.45
Price vs 50-Day MA % -23.20%-7.25%
Price vs 200-Day MA % +0.70%-14.36%

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): 0.511 (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