PYTH PYTH / FORTH Crypto vs APEX APEX / FORTH Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / FORTHAPEX / FORTH
📈 Performance Metrics
Start Price 0.130.46
End Price 0.040.39
Price Change % -67.18%-15.32%
Period High 0.140.84
Period Low 0.040.07
Price Range % 274.2%1,161.1%
🏆 All-Time Records
All-Time High 0.140.84
Days Since ATH 335 days10 days
Distance From ATH % -68.4%-53.5%
All-Time Low 0.040.07
Distance From ATL % +18.2%+487.0%
New ATHs Hit 3 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.05%6.13%
Biggest Jump (1 Day) % +0.04+0.43
Biggest Drop (1 Day) % -0.02-0.29
Days Above Avg % 34.6%56.7%
Extreme Moves days 9 (2.6%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 55.1%51.6%
Recent Momentum (10-day) % -13.71%-27.14%
📊 Statistical Measures
Average Price 0.060.27
Median Price 0.060.29
Price Std Deviation 0.020.16
🚀 Returns & Growth
CAGR % -69.44%-16.22%
Annualized Return % -69.44%-16.22%
Total Return % -67.18%-15.32%
⚠️ Risk & Volatility
Daily Volatility % 8.02%13.55%
Annualized Volatility % 153.30%258.80%
Max Drawdown % -73.28%-88.96%
Sharpe Ratio -0.0060.041
Sortino Ratio -0.0080.071
Calmar Ratio -0.948-0.182
Ulcer Index 57.3762.38
📅 Daily Performance
Win Rate % 44.7%48.4%
Positive Days 153166
Negative Days 189177
Best Day % +101.56%+195.46%
Worst Day % -35.54%-39.39%
Avg Gain (Up Days) % +4.58%+6.90%
Avg Loss (Down Days) % -3.80%-5.39%
Profit Factor 0.981.20
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 811
💹 Trading Metrics
Omega Ratio 0.9761.201
Expectancy % -0.05%+0.56%
Kelly Criterion % 0.00%1.51%
📅 Weekly Performance
Best Week % +67.10%+706.84%
Worst Week % -33.96%-32.03%
Weekly Win Rate % 44.2%46.2%
📆 Monthly Performance
Best Month % +45.57%+605.03%
Worst Month % -42.52%-62.95%
Monthly Win Rate % 23.1%30.8%
🔧 Technical Indicators
RSI (14-period) 16.8133.77
Price vs 50-Day MA % -26.07%+21.64%
Price vs 200-Day MA % -14.99%+97.88%

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 APEX (APEX): 0.569 (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
APEX: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures