PYTH PYTH / AFC Crypto vs H H / 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 / AFCH / USD
📈 Performance Metrics
Start Price 0.550.03
End Price 0.170.07
Price Change % -69.17%+155.29%
Period High 0.560.27
Period Low 0.170.03
Price Range % 239.1%895.8%
🏆 All-Time Records
All-Time High 0.560.27
Days Since ATH 88 days44 days
Distance From ATH % -70.0%-74.1%
All-Time Low 0.170.03
Distance From ATL % +1.7%+157.8%
New ATHs Hit 1 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.45%12.71%
Biggest Jump (1 Day) % +0.28+0.18
Biggest Drop (1 Day) % -0.16-0.11
Days Above Avg % 41.0%36.4%
Extreme Moves days 8 (2.3%)2 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%44.8%
Recent Momentum (10-day) % -1.82%-42.27%
📊 Statistical Measures
Average Price 0.330.09
Median Price 0.310.07
Price Std Deviation 0.080.06
🚀 Returns & Growth
CAGR % -71.41%+5,001.49%
Annualized Return % -71.41%+5,001.49%
Total Return % -69.17%+155.29%
⚠️ Risk & Volatility
Daily Volatility % 8.05%32.96%
Annualized Volatility % 153.87%629.69%
Max Drawdown % -70.51%-82.34%
Sharpe Ratio -0.0080.122
Sortino Ratio -0.0110.309
Calmar Ratio -1.01360.743
Ulcer Index 43.4744.41
📅 Daily Performance
Win Rate % 47.2%45.3%
Positive Days 16239
Negative Days 18147
Best Day % +99.05%+258.78%
Worst Day % -37.58%-49.94%
Avg Gain (Up Days) % +4.71%+19.45%
Avg Loss (Down Days) % -4.34%-8.70%
Profit Factor 0.971.86
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 510
💹 Trading Metrics
Omega Ratio 0.9711.855
Expectancy % -0.07%+4.07%
Kelly Criterion % 0.00%2.40%
📅 Weekly Performance
Best Week % +70.77%+31.37%
Worst Week % -21.75%-57.02%
Weekly Win Rate % 51.9%60.0%
📆 Monthly Performance
Best Month % +64.25%+164.30%
Worst Month % -33.27%-51.51%
Monthly Win Rate % 38.5%60.0%
🔧 Technical Indicators
RSI (14-period) 43.8334.96
Price vs 50-Day MA % -25.89%-43.89%
Price vs 200-Day MA % -45.60%N/A

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 H (H): -0.487 (Moderate negative)

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
H: Kraken