PYTH PYTH / FORTH Crypto vs JITOSOL JITOSOL / 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 / FORTHJITOSOL / FORTH
📈 Performance Metrics
Start Price 0.1272.32
End Price 0.05102.38
Price Change % -59.62%+41.56%
Period High 0.14111.14
Period Low 0.0472.32
Price Range % 274.2%53.7%
🏆 All-Time Records
All-Time High 0.14111.14
Days Since ATH 331 days25 days
Distance From ATH % -64.8%-7.9%
All-Time Low 0.0472.32
Distance From ATL % +31.6%+41.6%
New ATHs Hit 6 times21 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.03%2.26%
Biggest Jump (1 Day) % +0.04+9.30
Biggest Drop (1 Day) % -0.02-9.04
Days Above Avg % 33.4%41.3%
Extreme Moves days 9 (2.6%)8 (7.4%)
Stability Score % 0.0%96.3%
Trend Strength % 54.8%56.5%
Recent Momentum (10-day) % -4.49%+2.27%
📊 Statistical Measures
Average Price 0.0688.91
Median Price 0.0682.86
Price Std Deviation 0.0211.36
🚀 Returns & Growth
CAGR % -61.90%+223.67%
Annualized Return % -61.90%+223.67%
Total Return % -59.62%+41.56%
⚠️ Risk & Volatility
Daily Volatility % 8.02%3.26%
Annualized Volatility % 153.27%62.19%
Max Drawdown % -73.28%-16.39%
Sharpe Ratio 0.0010.115
Sortino Ratio 0.0020.117
Calmar Ratio -0.84513.646
Ulcer Index 56.905.48
📅 Daily Performance
Win Rate % 45.2%56.5%
Positive Days 15561
Negative Days 18847
Best Day % +101.56%+12.78%
Worst Day % -35.54%-10.69%
Avg Gain (Up Days) % +4.59%+2.39%
Avg Loss (Down Days) % -3.77%-2.24%
Profit Factor 1.001.38
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0051.385
Expectancy % +0.01%+0.38%
Kelly Criterion % 0.06%7.01%
📅 Weekly Performance
Best Week % +67.10%+15.23%
Worst Week % -33.96%-10.68%
Weekly Win Rate % 45.3%50.0%
📆 Monthly Performance
Best Month % +45.57%+12.28%
Worst Month % -42.52%-0.80%
Monthly Win Rate % 30.8%83.3%
🔧 Technical Indicators
RSI (14-period) 28.2862.24
Price vs 50-Day MA % -17.13%+2.96%
Price vs 200-Day MA % -5.92%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 JITOSOL (JITOSOL): 0.779 (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
JITOSOL: Kraken
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