PYTH PYTH / FTT Crypto vs GMT GMT / 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 / FTTGMT / FTT
📈 Performance Metrics
Start Price 0.210.07
End Price 0.140.03
Price Change % -35.69%-57.69%
Period High 0.260.10
Period Low 0.090.03
Price Range % 189.5%258.2%
🏆 All-Time Records
All-Time High 0.260.10
Days Since ATH 53 days325 days
Distance From ATH % -47.9%-67.5%
All-Time Low 0.090.03
Distance From ATL % +50.8%+16.4%
New ATHs Hit 4 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.36%3.92%
Biggest Jump (1 Day) % +0.13+0.02
Biggest Drop (1 Day) % -0.05-0.02
Days Above Avg % 34.6%45.9%
Extreme Moves days 11 (3.2%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%49.0%
Recent Momentum (10-day) % -24.66%-28.63%
📊 Statistical Measures
Average Price 0.140.05
Median Price 0.130.05
Price Std Deviation 0.030.01
🚀 Returns & Growth
CAGR % -37.49%-59.96%
Annualized Return % -37.49%-59.96%
Total Return % -35.69%-57.69%
⚠️ Risk & Volatility
Daily Volatility % 7.85%6.19%
Annualized Volatility % 150.04%118.17%
Max Drawdown % -59.77%-72.09%
Sharpe Ratio 0.018-0.010
Sortino Ratio 0.022-0.010
Calmar Ratio -0.627-0.832
Ulcer Index 40.9748.92
📅 Daily Performance
Win Rate % 49.6%51.0%
Positive Days 170175
Negative Days 173168
Best Day % +95.03%+51.78%
Worst Day % -29.08%-30.16%
Avg Gain (Up Days) % +4.52%+3.75%
Avg Loss (Down Days) % -4.17%-4.03%
Profit Factor 1.070.97
🔥 Streaks & Patterns
Longest Win Streak days 78
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.0660.969
Expectancy % +0.14%-0.06%
Kelly Criterion % 0.73%0.00%
📅 Weekly Performance
Best Week % +73.25%+29.35%
Worst Week % -28.61%-28.70%
Weekly Win Rate % 51.9%46.2%
📆 Monthly Performance
Best Month % +84.19%+39.05%
Worst Month % -52.59%-53.71%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 39.6831.79
Price vs 50-Day MA % -20.26%-27.67%
Price vs 200-Day MA % -5.04%-37.24%

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 GMT (GMT): 0.592 (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
GMT: Kraken