FTT FTT / SPK Crypto vs PYTH PYTH / SPK 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 FTT / SPKPYTH / SPK
📈 Performance Metrics
Start Price 19.432.30
End Price 19.682.51
Price Change % +1.33%+9.24%
Period High 29.373.89
Period Low 5.550.74
Price Range % 429.0%426.3%
🏆 All-Time Records
All-Time High 29.373.89
Days Since ATH 108 days112 days
Distance From ATH % -33.0%-35.4%
All-Time Low 5.550.74
Distance From ATL % +254.6%+239.9%
New ATHs Hit 14 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.50%6.05%
Biggest Jump (1 Day) % +6.73+1.92
Biggest Drop (1 Day) % -10.85-1.37
Days Above Avg % 52.9%64.5%
Extreme Moves days 6 (4.4%)5 (3.6%)
Stability Score % 32.5%0.0%
Trend Strength % 58.4%60.6%
Recent Momentum (10-day) % +0.30%-5.06%
📊 Statistical Measures
Average Price 16.962.47
Median Price 17.552.64
Price Std Deviation 5.820.77
🚀 Returns & Growth
CAGR % +3.57%+26.54%
Annualized Return % +3.57%+26.54%
Total Return % +1.33%+9.24%
⚠️ Risk & Volatility
Daily Volatility % 11.45%13.62%
Annualized Volatility % 218.81%260.13%
Max Drawdown % -81.10%-81.00%
Sharpe Ratio 0.0620.067
Sortino Ratio 0.0580.073
Calmar Ratio 0.0440.328
Ulcer Index 45.3639.68
📅 Daily Performance
Win Rate % 58.8%61.0%
Positive Days 8083
Negative Days 5653
Best Day % +57.41%+103.53%
Worst Day % -53.51%-55.27%
Avg Gain (Up Days) % +6.48%+6.34%
Avg Loss (Down Days) % -7.53%-7.58%
Profit Factor 1.231.31
🔥 Streaks & Patterns
Longest Win Streak days 78
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.2311.311
Expectancy % +0.71%+0.92%
Kelly Criterion % 1.46%1.91%
📅 Weekly Performance
Best Week % +40.32%+116.56%
Worst Week % -41.94%-39.18%
Weekly Win Rate % 68.2%68.2%
📆 Monthly Performance
Best Month % +48.77%+160.85%
Worst Month % -54.55%-55.73%
Monthly Win Rate % 50.0%66.7%
🔧 Technical Indicators
RSI (14-period) 47.1340.79
Price vs 50-Day MA % +1.10%-11.49%

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).

FTT (FTT) vs PYTH (PYTH): 0.812 (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

FTT: Bybit
PYTH: Kraken