PYTH PYTH / ALGO Crypto vs CFX CFX / ALGO 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 / ALGOCFX / ALGO
📈 Performance Metrics
Start Price 2.931.15
End Price 0.590.56
Price Change % -79.97%-51.18%
Period High 3.251.25
Period Low 0.410.32
Price Range % 702.3%288.2%
🏆 All-Time Records
All-Time High 3.251.25
Days Since ATH 340 days341 days
Distance From ATH % -82.0%-55.1%
All-Time Low 0.410.32
Distance From ATL % +44.8%+74.4%
New ATHs Hit 3 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.77%3.43%
Biggest Jump (1 Day) % +0.44+0.39
Biggest Drop (1 Day) % -0.43-0.17
Days Above Avg % 25.0%32.6%
Extreme Moves days 8 (2.3%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 53.4%53.4%
Recent Momentum (10-day) % -5.64%-9.24%
📊 Statistical Measures
Average Price 0.830.53
Median Price 0.720.44
Price Std Deviation 0.480.18
🚀 Returns & Growth
CAGR % -81.93%-53.37%
Annualized Return % -81.93%-53.37%
Total Return % -79.97%-51.18%
⚠️ Risk & Volatility
Daily Volatility % 6.91%7.28%
Annualized Volatility % 132.11%139.04%
Max Drawdown % -87.54%-74.24%
Sharpe Ratio -0.040-0.001
Sortino Ratio -0.055-0.002
Calmar Ratio -0.936-0.719
Ulcer Index 75.8359.47
📅 Daily Performance
Win Rate % 46.6%46.6%
Positive Days 160160
Negative Days 183183
Best Day % +94.89%+106.87%
Worst Day % -26.08%-23.26%
Avg Gain (Up Days) % +3.22%+3.51%
Avg Loss (Down Days) % -3.33%-3.08%
Profit Factor 0.851.00
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 107
💹 Trading Metrics
Omega Ratio 0.8450.995
Expectancy % -0.27%-0.01%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +76.23%+105.96%
Worst Week % -39.02%-31.35%
Weekly Win Rate % 50.0%44.2%
📆 Monthly Performance
Best Month % +68.82%+107.41%
Worst Month % -61.75%-58.40%
Monthly Win Rate % 30.8%46.2%
🔧 Technical Indicators
RSI (14-period) 20.8617.10
Price vs 50-Day MA % -15.67%-20.84%
Price vs 200-Day MA % -5.80%+3.99%
💰 Volume Analysis
Avg Volume 8,079,890422,403,501
Total Volume 2,779,482,185145,306,804,343

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 CFX (CFX): 0.527 (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
CFX: Binance