CORE CORE / FTT Crypto vs PYTH PYTH / FTT 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset CORE / FTTPYTH / FTT

📈 Performance Metrics

Start Price 0.450.15

End Price 0.190.10

Price Change % -57.10%-30.98%

Period High 0.850.26

Period Low 0.190.09

Price Range % 358.2%189.5%

🏆 All-Time Records

All-Time High 0.850.26

Days Since ATH 206 days84 days

Distance From ATH % -77.5%-60.7%

All-Time Low 0.190.09

Distance From ATL % +3.1%+13.8%

New ATHs Hit 12 times7 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.56%4.22%

Biggest Jump (1 Day) % +0.09+0.13

Biggest Drop (1 Day) % -0.17-0.05

Days Above Avg % 49.3%33.4%

Extreme Moves days 19 (5.5%)10 (2.9%)

Stability Score % 0.0%0.0%

Trend Strength % 50.0%50.4%

Recent Momentum (10-day) % -10.63%-10.60%

📊 Statistical Measures

Average Price 0.470.14

Median Price 0.460.13

Price Std Deviation 0.170.03

🚀 Returns & Growth

CAGR % -59.26%-32.60%

Annualized Return % -59.26%-32.60%

Total Return % -57.10%-30.98%

⚠️ Risk & Volatility

Daily Volatility % 5.59%7.67%

Annualized Volatility % 106.71%146.58%

Max Drawdown % -78.17%-61.04%

Sharpe Ratio -0.0140.019

Sortino Ratio -0.0130.024

Calmar Ratio -0.758-0.534

Ulcer Index 39.1332.15

📅 Daily Performance

Win Rate % 50.0%49.4%

Positive Days 172169

Negative Days 172173

Best Day % +19.15%+95.03%

Worst Day % -39.74%-29.08%

Avg Gain (Up Days) % +3.58%+4.38%

Avg Loss (Down Days) % -3.74%-4.00%

Profit Factor 0.961.07

🔥 Streaks & Patterns

Longest Win Streak days 67

Longest Loss Streak days 78

💹 Trading Metrics

Omega Ratio 0.9581.071

Expectancy % -0.08%+0.14%

Kelly Criterion % 0.00%0.82%

📅 Weekly Performance

Best Week % +39.40%+73.25%

Worst Week % -22.25%-28.61%

Weekly Win Rate % 53.8%48.1%

📆 Monthly Performance

Best Month % +88.91%+84.19%

Worst Month % -37.06%-36.92%

Monthly Win Rate % 30.8%46.2%

🔧 Technical Indicators

RSI (14-period) 38.0734.16

Price vs 50-Day MA % -27.13%-21.24%

Price vs 200-Day MA % -62.18%-25.93%

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).

CORE (CORE) vs PYTH (PYTH):	0.321 (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

CORE: Bybit
PYTH: Kraken