PYTH PYTH / FTT Crypto vs KERNEL KERNEL / FTT Crypto

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

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Asset PYTH / FTTKERNEL / FTT
📈 Performance Metrics
Start Price 0.190.39
End Price 0.130.15
Price Change % -33.43%-61.93%
Period High 0.260.39
Period Low 0.090.12
Price Range % 189.5%233.6%
🏆 All-Time Records
All-Time High 0.260.39
Days Since ATH 68 days204 days
Distance From ATH % -51.8%-61.9%
All-Time Low 0.090.12
Distance From ATL % +39.6%+27.0%
New ATHs Hit 3 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.31%5.92%
Biggest Jump (1 Day) % +0.13+0.05
Biggest Drop (1 Day) % -0.05-0.11
Days Above Avg % 33.4%44.9%
Extreme Moves days 11 (3.2%)13 (6.4%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%49.0%
Recent Momentum (10-day) % -5.28%-0.34%
📊 Statistical Measures
Average Price 0.140.18
Median Price 0.130.16
Price Std Deviation 0.030.05
🚀 Returns & Growth
CAGR % -35.15%-82.23%
Annualized Return % -35.15%-82.23%
Total Return % -33.43%-61.93%
⚠️ Risk & Volatility
Daily Volatility % 7.79%7.89%
Annualized Volatility % 148.74%150.68%
Max Drawdown % -56.82%-70.03%
Sharpe Ratio 0.018-0.018
Sortino Ratio 0.023-0.017
Calmar Ratio -0.619-1.174
Ulcer Index 39.0454.29
📅 Daily Performance
Win Rate % 49.4%50.7%
Positive Days 169103
Negative Days 173100
Best Day % +95.03%+29.26%
Worst Day % -29.08%-39.04%
Avg Gain (Up Days) % +4.47%+5.29%
Avg Loss (Down Days) % -4.09%-5.74%
Profit Factor 1.070.95
🔥 Streaks & Patterns
Longest Win Streak days 710
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.0690.949
Expectancy % +0.14%-0.14%
Kelly Criterion % 0.78%0.00%
📅 Weekly Performance
Best Week % +73.25%+56.03%
Worst Week % -28.61%-36.08%
Weekly Win Rate % 51.9%54.8%
📆 Monthly Performance
Best Month % +84.19%+47.27%
Worst Month % -52.59%-51.45%
Monthly Win Rate % 53.8%37.5%
🔧 Technical Indicators
RSI (14-period) 44.5150.55
Price vs 50-Day MA % -14.22%-18.72%
Price vs 200-Day MA % -11.31%-18.14%

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 KERNEL (KERNEL): 0.638 (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
KERNEL: Kraken
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