PYTH PYTH / FTT Crypto vs LPT LPT / 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 / FTTLPT / FTT
📈 Performance Metrics
Start Price 0.246.35
End Price 0.147.24
Price Change % -42.78%+14.05%
Period High 0.2610.50
Period Low 0.093.36
Price Range % 189.5%212.2%
🏆 All-Time Records
All-Time High 0.2610.50
Days Since ATH 50 days140 days
Distance From ATH % -47.1%-31.0%
All-Time Low 0.093.36
Distance From ATL % +53.1%+115.2%
New ATHs Hit 1 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.36%4.61%
Biggest Jump (1 Day) % +0.13+6.28
Biggest Drop (1 Day) % -0.05-1.97
Days Above Avg % 34.6%46.8%
Extreme Moves days 11 (3.2%)7 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%51.0%
Recent Momentum (10-day) % -17.49%-0.81%
📊 Statistical Measures
Average Price 0.145.99
Median Price 0.135.84
Price Std Deviation 0.031.52
🚀 Returns & Growth
CAGR % -44.79%+15.01%
Annualized Return % -44.79%+15.01%
Total Return % -42.78%+14.05%
⚠️ Risk & Volatility
Daily Volatility % 7.85%10.33%
Annualized Volatility % 149.99%197.32%
Max Drawdown % -62.63%-51.29%
Sharpe Ratio 0.0130.040
Sortino Ratio 0.0160.067
Calmar Ratio -0.7150.293
Ulcer Index 44.0929.99
📅 Daily Performance
Win Rate % 49.0%51.0%
Positive Days 168175
Negative Days 175168
Best Day % +95.03%+149.09%
Worst Day % -29.08%-26.09%
Avg Gain (Up Days) % +4.54%+5.05%
Avg Loss (Down Days) % -4.15%-4.41%
Profit Factor 1.051.19
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.0491.191
Expectancy % +0.10%+0.41%
Kelly Criterion % 0.55%1.85%
📅 Weekly Performance
Best Week % +73.25%+75.41%
Worst Week % -28.61%-20.11%
Weekly Win Rate % 51.9%53.8%
📆 Monthly Performance
Best Month % +84.19%+77.80%
Worst Month % -52.59%-34.30%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 41.0951.66
Price vs 50-Day MA % -21.82%-4.47%
Price vs 200-Day MA % -3.54%+7.57%

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 LPT (LPT): 0.374 (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
LPT: Kraken