PYTH PYTH / FTT Crypto vs APP APP / 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 / FTTAPP / FTT
📈 Performance Metrics
Start Price 0.140.00
End Price 0.110.00
Price Change % -19.73%-79.25%
Period High 0.260.01
Period Low 0.090.00
Price Range % 189.5%1,035.2%
🏆 All-Time Records
All-Time High 0.260.01
Days Since ATH 83 days117 days
Distance From ATH % -58.7%-91.1%
All-Time Low 0.090.00
Distance From ATL % +19.6%+1.5%
New ATHs Hit 8 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.24%7.38%
Biggest Jump (1 Day) % +0.13+0.00
Biggest Drop (1 Day) % -0.050.00
Days Above Avg % 33.1%34.1%
Extreme Moves days 10 (2.9%)21 (6.8%)
Stability Score % 0.0%0.0%
Trend Strength % 50.1%51.6%
Recent Momentum (10-day) % -7.23%-37.90%
📊 Statistical Measures
Average Price 0.140.00
Median Price 0.130.00
Price Std Deviation 0.030.00
🚀 Returns & Growth
CAGR % -20.86%-84.30%
Annualized Return % -20.86%-84.30%
Total Return % -19.73%-79.25%
⚠️ Risk & Volatility
Daily Volatility % 7.69%11.85%
Annualized Volatility % 146.89%226.31%
Max Drawdown % -61.04%-91.19%
Sharpe Ratio 0.0240.016
Sortino Ratio 0.0310.017
Calmar Ratio -0.342-0.924
Ulcer Index 31.9751.20
📅 Daily Performance
Win Rate % 49.9%48.4%
Positive Days 171150
Negative Days 172160
Best Day % +95.03%+65.53%
Worst Day % -29.08%-43.58%
Avg Gain (Up Days) % +4.40%+8.22%
Avg Loss (Down Days) % -3.99%-7.34%
Profit Factor 1.091.05
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0941.050
Expectancy % +0.19%+0.19%
Kelly Criterion % 1.07%0.31%
📅 Weekly Performance
Best Week % +73.25%+78.30%
Worst Week % -28.61%-59.52%
Weekly Win Rate % 48.1%44.7%
📆 Monthly Performance
Best Month % +84.19%+73.74%
Worst Month % -30.21%-62.07%
Monthly Win Rate % 46.2%33.3%
🔧 Technical Indicators
RSI (14-period) 37.5315.39
Price vs 50-Day MA % -18.07%-59.03%
Price vs 200-Day MA % -22.23%-78.27%

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 APP (APP): -0.149 (Weak)

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
APP: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures