PYTH PYTH / APEX Crypto vs FORTH FORTH / APEX 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 / APEXFORTH / APEX
📈 Performance Metrics
Start Price 0.302.56
End Price 0.122.70
Price Change % -59.48%+5.42%
Period High 0.7814.97
Period Low 0.071.19
Price Range % 1,005.9%1,161.1%
🏆 All-Time Records
All-Time High 0.7814.97
Days Since ATH 74 days143 days
Distance From ATH % -84.4%-81.9%
All-Time Low 0.071.19
Distance From ATL % +72.1%+127.6%
New ATHs Hit 13 times26 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.41%5.59%
Biggest Jump (1 Day) % +0.40+1.89
Biggest Drop (1 Day) % -0.21-3.51
Days Above Avg % 39.5%38.4%
Extreme Moves days 7 (2.0%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 49.9%51.3%
Recent Momentum (10-day) % +3.71%+2.49%
📊 Statistical Measures
Average Price 0.315.87
Median Price 0.233.47
Price Std Deviation 0.183.91
🚀 Returns & Growth
CAGR % -61.76%+5.77%
Annualized Return % -61.76%+5.77%
Total Return % -59.48%+5.42%
⚠️ Risk & Volatility
Daily Volatility % 10.00%9.43%
Annualized Volatility % 190.96%180.23%
Max Drawdown % -90.96%-92.07%
Sharpe Ratio 0.0220.053
Sortino Ratio 0.0260.056
Calmar Ratio -0.6790.063
Ulcer Index 42.8738.51
📅 Daily Performance
Win Rate % 50.1%51.3%
Positive Days 172176
Negative Days 171167
Best Day % +107.95%+64.98%
Worst Day % -65.90%-66.15%
Avg Gain (Up Days) % +5.54%+6.08%
Avg Loss (Down Days) % -5.13%-5.38%
Profit Factor 1.091.19
🔥 Streaks & Patterns
Longest Win Streak days 611
Longest Loss Streak days 79
💹 Trading Metrics
Omega Ratio 1.0871.190
Expectancy % +0.22%+0.50%
Kelly Criterion % 0.78%1.52%
📅 Weekly Performance
Best Week % +111.52%+47.13%
Worst Week % -88.05%-87.61%
Weekly Win Rate % 40.4%50.0%
📆 Monthly Performance
Best Month % +151.38%+169.93%
Worst Month % -86.43%-85.82%
Monthly Win Rate % 46.2%61.5%
🔧 Technical Indicators
RSI (14-period) 68.6563.70
Price vs 50-Day MA % +1.37%+12.55%
Price vs 200-Day MA % -68.65%-65.49%

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 FORTH (FORTH): 0.940 (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
FORTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures