PYTH PYTH / FTT Crypto vs REKT REKT / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / FTTREKT / FTT
📈 Performance Metrics
Start Price 0.150.00
End Price 0.110.00
Price Change % -27.04%-45.88%
Period High 0.260.00
Period Low 0.090.00
Price Range % 189.5%416.8%
🏆 All-Time Records
All-Time High 0.260.00
Days Since ATH 80 days65 days
Distance From ATH % -58.8%-60.4%
All-Time Low 0.090.00
Distance From ATL % +19.3%+104.5%
New ATHs Hit 8 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.24%7.66%
Biggest Jump (1 Day) % +0.13+0.00
Biggest Drop (1 Day) % -0.050.00
Days Above Avg % 33.4%40.2%
Extreme Moves days 10 (2.9%)5 (6.2%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%58.0%
Recent Momentum (10-day) % -3.91%+39.34%
📊 Statistical Measures
Average Price 0.140.00
Median Price 0.130.00
Price Std Deviation 0.030.00
🚀 Returns & Growth
CAGR % -28.50%-93.71%
Annualized Return % -28.50%-93.71%
Total Return % -27.04%-45.88%
⚠️ Risk & Volatility
Daily Volatility % 7.70%13.22%
Annualized Volatility % 147.03%252.59%
Max Drawdown % -61.04%-80.65%
Sharpe Ratio 0.0210.010
Sortino Ratio 0.0270.012
Calmar Ratio -0.467-1.162
Ulcer Index 31.5148.50
📅 Daily Performance
Win Rate % 49.4%41.3%
Positive Days 16933
Negative Days 17347
Best Day % +95.03%+45.91%
Worst Day % -29.08%-48.90%
Avg Gain (Up Days) % +4.43%+11.00%
Avg Loss (Down Days) % -4.01%-7.49%
Profit Factor 1.081.03
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.0791.031
Expectancy % +0.16%+0.14%
Kelly Criterion % 0.91%0.17%
📅 Weekly Performance
Best Week % +73.25%+44.38%
Worst Week % -28.61%-29.91%
Weekly Win Rate % 47.2%50.0%
📆 Monthly Performance
Best Month % +84.19%+9.62%
Worst Month % -36.41%-30.91%
Monthly Win Rate % 46.2%40.0%
🔧 Technical Indicators
RSI (14-period) 35.1362.14
Price vs 50-Day MA % -19.86%-6.21%
Price vs 200-Day MA % -22.67%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 REKT (REKT): 0.850 (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
REKT: Kraken