PYTH PYTH / GLM 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 / GLMFTT / USD
📈 Performance Metrics
Start Price 1.191.66
End Price 0.520.78
Price Change % -56.48%-53.08%
Period High 1.323.87
Period Low 0.420.72
Price Range % 217.0%434.4%
🏆 All-Time Records
All-Time High 1.323.87
Days Since ATH 337 days286 days
Distance From ATH % -60.7%-79.9%
All-Time Low 0.420.72
Distance From ATL % +24.6%+7.4%
New ATHs Hit 4 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.40%4.68%
Biggest Jump (1 Day) % +0.46+0.78
Biggest Drop (1 Day) % -0.29-0.49
Days Above Avg % 39.5%35.1%
Extreme Moves days 7 (2.1%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%54.1%
Recent Momentum (10-day) % -4.16%-8.47%
📊 Statistical Measures
Average Price 0.681.47
Median Price 0.591.11
Price Std Deviation 0.230.78
🚀 Returns & Growth
CAGR % -58.95%-55.19%
Annualized Return % -58.95%-55.19%
Total Return % -56.48%-53.08%
⚠️ Risk & Volatility
Daily Volatility % 7.04%5.87%
Annualized Volatility % 134.41%112.14%
Max Drawdown % -68.45%-81.29%
Sharpe Ratio -0.006-0.009
Sortino Ratio -0.008-0.010
Calmar Ratio -0.861-0.679
Ulcer Index 51.1763.65
📅 Daily Performance
Win Rate % 49.0%45.6%
Positive Days 167156
Negative Days 174186
Best Day % +94.96%+35.00%
Worst Day % -35.60%-20.03%
Avg Gain (Up Days) % +3.47%+4.49%
Avg Loss (Down Days) % -3.41%-3.86%
Profit Factor 0.980.97
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 0.9770.975
Expectancy % -0.04%-0.05%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +63.59%+36.20%
Worst Week % -31.31%-24.69%
Weekly Win Rate % 51.9%53.8%
📆 Monthly Performance
Best Month % +71.97%+46.25%
Worst Month % -29.27%-41.51%
Monthly Win Rate % 15.4%38.5%
🔧 Technical Indicators
RSI (14-period) 26.8021.14
Price vs 50-Day MA % -23.56%-10.14%
Price vs 200-Day MA % -5.18%-17.05%

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): 0.774 (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
FTT: Bybit