PYTH PYTH / FTT Crypto vs QNT QNT / 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 / FTTQNT / FTT
📈 Performance Metrics
Start Price 0.2232.75
End Price 0.13108.79
Price Change % -39.04%+232.15%
Period High 0.26138.59
Period Low 0.0928.69
Price Range % 189.5%383.1%
🏆 All-Time Records
All-Time High 0.26138.59
Days Since ATH 54 days115 days
Distance From ATH % -49.8%-21.5%
All-Time Low 0.0928.69
Distance From ATL % +45.3%+279.2%
New ATHs Hit 3 times38 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.37%3.53%
Biggest Jump (1 Day) % +0.13+19.82
Biggest Drop (1 Day) % -0.05-26.75
Days Above Avg % 34.6%45.9%
Extreme Moves days 11 (3.2%)19 (5.5%)
Stability Score % 0.0%93.1%
Trend Strength % 50.4%54.2%
Recent Momentum (10-day) % -22.31%-3.40%
📊 Statistical Measures
Average Price 0.1483.22
Median Price 0.1380.16
Price Std Deviation 0.0333.95
🚀 Returns & Growth
CAGR % -40.94%+258.73%
Annualized Return % -40.94%+258.73%
Total Return % -39.04%+232.15%
⚠️ Risk & Volatility
Daily Volatility % 7.86%5.76%
Annualized Volatility % 150.08%110.00%
Max Drawdown % -59.77%-48.29%
Sharpe Ratio 0.0160.090
Sortino Ratio 0.0190.089
Calmar Ratio -0.6855.358
Ulcer Index 41.0615.71
📅 Daily Performance
Win Rate % 49.4%54.4%
Positive Days 169186
Negative Days 173156
Best Day % +95.03%+24.21%
Worst Day % -29.08%-26.92%
Avg Gain (Up Days) % +4.54%+4.13%
Avg Loss (Down Days) % -4.19%-3.78%
Profit Factor 1.061.30
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.0581.302
Expectancy % +0.12%+0.52%
Kelly Criterion % 0.65%3.34%
📅 Weekly Performance
Best Week % +73.25%+31.98%
Worst Week % -28.61%-22.95%
Weekly Win Rate % 50.0%55.8%
📆 Monthly Performance
Best Month % +84.19%+65.20%
Worst Month % -52.59%-34.14%
Monthly Win Rate % 53.8%76.9%
🔧 Technical Indicators
RSI (14-period) 38.8551.34
Price vs 50-Day MA % -22.39%-3.41%
Price vs 200-Day MA % -8.46%+0.44%

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 QNT (QNT): 0.119 (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
QNT: Kraken
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