PYTH PYTH / FTT Crypto vs RSC RSC / 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 PYTH / FTTRSC / FTT
📈 Performance Metrics
Start Price 0.220.60
End Price 0.130.40
Price Change % -39.04%-33.62%
Period High 0.260.82
Period Low 0.090.30
Price Range % 189.5%173.4%
🏆 All-Time Records
All-Time High 0.260.82
Days Since ATH 54 days33 days
Distance From ATH % -49.8%-51.4%
All-Time Low 0.090.30
Distance From ATL % +45.3%+32.8%
New ATHs Hit 3 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.37%6.92%
Biggest Jump (1 Day) % +0.13+0.23
Biggest Drop (1 Day) % -0.05-0.19
Days Above Avg % 34.6%58.0%
Extreme Moves days 11 (3.2%)5 (6.3%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%53.8%
Recent Momentum (10-day) % -22.31%-28.46%
📊 Statistical Measures
Average Price 0.140.58
Median Price 0.130.60
Price Std Deviation 0.030.11
🚀 Returns & Growth
CAGR % -40.94%-84.58%
Annualized Return % -40.94%-84.58%
Total Return % -39.04%-33.62%
⚠️ Risk & Volatility
Daily Volatility % 7.86%10.57%
Annualized Volatility % 150.08%201.97%
Max Drawdown % -59.77%-63.42%
Sharpe Ratio 0.0160.004
Sortino Ratio 0.0190.004
Calmar Ratio -0.685-1.334
Ulcer Index 41.0630.82
📅 Daily Performance
Win Rate % 49.4%46.3%
Positive Days 16937
Negative Days 17343
Best Day % +95.03%+47.07%
Worst Day % -29.08%-31.75%
Avg Gain (Up Days) % +4.54%+7.62%
Avg Loss (Down Days) % -4.19%-6.49%
Profit Factor 1.061.01
🔥 Streaks & Patterns
Longest Win Streak days 73
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 1.0581.011
Expectancy % +0.12%+0.04%
Kelly Criterion % 0.65%0.08%
📅 Weekly Performance
Best Week % +73.25%+32.02%
Worst Week % -28.61%-29.82%
Weekly Win Rate % 50.0%42.9%
📆 Monthly Performance
Best Month % +84.19%+13.81%
Worst Month % -52.59%-13.34%
Monthly Win Rate % 53.8%20.0%
🔧 Technical Indicators
RSI (14-period) 38.8544.57
Price vs 50-Day MA % -22.39%-26.31%
Price vs 200-Day MA % -8.46%N/A

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 RSC (RSC): 0.342 (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

PYTH: Kraken
RSC: Coinbase
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