00 00 / 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.

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Asset 00 / FTTPYTH / FTT

📈 Performance Metrics

Start Price 0.020.23

End Price 0.010.13

Price Change % -45.27%-43.19%

Period High 0.030.26

Period Low 0.010.09

Price Range % 212.0%189.5%

🏆 All-Time Records

All-Time High 0.030.26

Days Since ATH 331 days57 days

Distance From ATH % -63.6%-51.2%

All-Time Low 0.010.09

Distance From ATL % +13.6%+41.2%

New ATHs Hit 2 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.69%4.38%

Biggest Jump (1 Day) % +0.01+0.13

Biggest Drop (1 Day) % -0.01-0.05

Days Above Avg % 58.6%34.3%

Extreme Moves days 17 (5.0%)11 (3.2%)

Stability Score % 0.0%0.0%

Trend Strength % 47.4%51.3%

Recent Momentum (10-day) % -14.31%-11.98%

📊 Statistical Measures

Average Price 0.020.14

Median Price 0.020.13

Price Std Deviation 0.000.03

🚀 Returns & Growth

CAGR % -47.44%-45.22%

Annualized Return % -47.44%-45.22%

Total Return % -45.27%-43.19%

⚠️ Risk & Volatility

Daily Volatility % 7.35%7.85%

Annualized Volatility % 140.47%150.07%

Max Drawdown % -67.95%-59.77%

Sharpe Ratio 0.0130.013

Sortino Ratio 0.0130.016

Calmar Ratio -0.698-0.756

Ulcer Index 41.6141.33

📅 Daily Performance

Win Rate % 52.6%48.7%

Positive Days 180167

Negative Days 162176

Best Day % +51.23%+95.03%

Worst Day % -32.45%-29.08%

Avg Gain (Up Days) % +4.53%+4.57%

Avg Loss (Down Days) % -4.84%-4.13%

Profit Factor 1.041.05

🔥 Streaks & Patterns

Longest Win Streak days 67

Longest Loss Streak days 68

💹 Trading Metrics

Omega Ratio 1.0401.048

Expectancy % +0.09%+0.10%

Kelly Criterion % 0.42%0.54%

📅 Weekly Performance

Best Week % +37.86%+73.25%

Worst Week % -20.60%-28.61%

Weekly Win Rate % 44.2%50.0%

📆 Monthly Performance

Best Month % +59.17%+84.19%

Worst Month % -46.66%-52.59%

Monthly Win Rate % 61.5%46.2%

🔧 Technical Indicators

RSI (14-period) 55.7651.67

Price vs 50-Day MA % -28.30%-22.72%

Price vs 200-Day MA % -39.11%-11.05%

💰 Volume Analysis

Avg Volume 8,892,4121,845,921

Total Volume 3,050,097,260634,996,957

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).

00 (00) vs PYTH (PYTH):	0.462 (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

00: Coinbase
PYTH: Kraken