PYTH PYTH / USD Crypto vs FIS FIS / 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 / USDFIS / USD
📈 Performance Metrics
Start Price 0.450.44
End Price 0.060.02
Price Change % -86.72%-95.55%
Period High 0.450.53
Period Low 0.060.02
Price Range % 664.9%2,633.5%
🏆 All-Time Records
All-Time High 0.450.53
Days Since ATH 343 days334 days
Distance From ATH % -86.7%-96.3%
All-Time Low 0.060.02
Distance From ATL % +1.6%+0.0%
New ATHs Hit 0 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.58%5.25%
Biggest Jump (1 Day) % +0.11+0.08
Biggest Drop (1 Day) % -0.06-0.08
Days Above Avg % 31.4%39.0%
Extreme Moves days 6 (1.7%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%58.0%
Recent Momentum (10-day) % -10.34%-34.25%
📊 Statistical Measures
Average Price 0.170.17
Median Price 0.140.12
Price Std Deviation 0.080.11
🚀 Returns & Growth
CAGR % -88.33%-96.35%
Annualized Return % -88.33%-96.35%
Total Return % -86.72%-95.55%
⚠️ Risk & Volatility
Daily Volatility % 7.93%8.58%
Annualized Volatility % 151.43%163.83%
Max Drawdown % -86.93%-96.34%
Sharpe Ratio -0.041-0.067
Sortino Ratio -0.053-0.084
Calmar Ratio -1.016-1.000
Ulcer Index 66.0571.39
📅 Daily Performance
Win Rate % 46.8%41.3%
Positive Days 160140
Negative Days 182199
Best Day % +99.34%+60.55%
Worst Day % -32.57%-26.09%
Avg Gain (Up Days) % +4.60%+5.97%
Avg Loss (Down Days) % -4.65%-5.18%
Profit Factor 0.870.81
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 611
💹 Trading Metrics
Omega Ratio 0.8690.810
Expectancy % -0.33%-0.58%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+106.88%
Worst Week % -23.21%-26.67%
Weekly Win Rate % 48.1%32.7%
📆 Monthly Performance
Best Month % +65.32%+82.78%
Worst Month % -32.91%-52.10%
Monthly Win Rate % 30.8%30.8%
🔧 Technical Indicators
RSI (14-period) 25.1830.82
Price vs 50-Day MA % -30.03%-60.52%
Price vs 200-Day MA % -50.66%-80.89%

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 FIS (FIS): 0.943 (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
FIS: Kraken