PYTH PYTH / FTT Crypto vs PIXFI PIXFI / 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 / FTTPIXFI / FTT
📈 Performance Metrics
Start Price 0.220.00
End Price 0.130.00
Price Change % -40.81%-93.53%
Period High 0.260.00
Period Low 0.090.00
Price Range % 189.5%1,445.9%
🏆 All-Time Records
All-Time High 0.260.00
Days Since ATH 56 days337 days
Distance From ATH % -50.1%-93.5%
All-Time Low 0.090.00
Distance From ATL % +44.5%+0.0%
New ATHs Hit 2 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.38%5.57%
Biggest Jump (1 Day) % +0.13+0.00
Biggest Drop (1 Day) % -0.050.00
Days Above Avg % 34.3%26.0%
Extreme Moves days 11 (3.2%)13 (3.9%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%56.4%
Recent Momentum (10-day) % -14.65%-34.04%
📊 Statistical Measures
Average Price 0.140.00
Median Price 0.130.00
Price Std Deviation 0.030.00
🚀 Returns & Growth
CAGR % -42.77%-94.85%
Annualized Return % -42.77%-94.85%
Total Return % -40.81%-93.53%
⚠️ Risk & Volatility
Daily Volatility % 7.85%8.39%
Annualized Volatility % 150.07%160.26%
Max Drawdown % -59.77%-93.53%
Sharpe Ratio 0.014-0.056
Sortino Ratio 0.018-0.063
Calmar Ratio -0.716-1.014
Ulcer Index 41.2474.27
📅 Daily Performance
Win Rate % 49.0%43.6%
Positive Days 168147
Negative Days 175190
Best Day % +95.03%+53.12%
Worst Day % -29.08%-42.55%
Avg Gain (Up Days) % +4.55%+5.49%
Avg Loss (Down Days) % -4.14%-5.08%
Profit Factor 1.050.84
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.0540.837
Expectancy % +0.11%-0.47%
Kelly Criterion % 0.60%0.00%
📅 Weekly Performance
Best Week % +73.25%+25.37%
Worst Week % -28.61%-26.88%
Weekly Win Rate % 50.0%31.4%
📆 Monthly Performance
Best Month % +84.19%+43.30%
Worst Month % -52.59%-60.15%
Monthly Win Rate % 53.8%15.4%
🔧 Technical Indicators
RSI (14-period) 35.0823.13
Price vs 50-Day MA % -21.51%-54.48%
Price vs 200-Day MA % -8.98%-66.25%
💰 Volume Analysis
Avg Volume 1,835,888107,120,397
Total Volume 631,545,46136,206,694,328

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 PIXFI (PIXFI): 0.346 (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
PIXFI: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures