PYTH PYTH / FTT Crypto vs MATH MATH / USD 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 / FTTMATH / USD
📈 Performance Metrics
Start Price 0.220.28
End Price 0.130.06
Price Change % -39.04%-78.56%
Period High 0.260.39
Period Low 0.090.05
Price Range % 189.5%613.0%
🏆 All-Time Records
All-Time High 0.260.39
Days Since ATH 54 days317 days
Distance From ATH % -49.8%-84.6%
All-Time Low 0.090.05
Distance From ATL % +45.3%+9.7%
New ATHs Hit 3 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.37%3.36%
Biggest Jump (1 Day) % +0.13+0.04
Biggest Drop (1 Day) % -0.05-0.04
Days Above Avg % 34.6%34.0%
Extreme Moves days 11 (3.2%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%54.5%
Recent Momentum (10-day) % -22.31%-28.15%
📊 Statistical Measures
Average Price 0.140.16
Median Price 0.130.13
Price Std Deviation 0.030.07
🚀 Returns & Growth
CAGR % -40.94%-80.57%
Annualized Return % -40.94%-80.57%
Total Return % -39.04%-78.56%
⚠️ Risk & Volatility
Daily Volatility % 7.86%4.82%
Annualized Volatility % 150.08%92.01%
Max Drawdown % -59.77%-85.97%
Sharpe Ratio 0.016-0.069
Sortino Ratio 0.019-0.075
Calmar Ratio -0.685-0.937
Ulcer Index 41.0662.63
📅 Daily Performance
Win Rate % 49.4%45.2%
Positive Days 169154
Negative Days 173187
Best Day % +95.03%+35.84%
Worst Day % -29.08%-25.52%
Avg Gain (Up Days) % +4.54%+3.34%
Avg Loss (Down Days) % -4.19%-3.36%
Profit Factor 1.060.82
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.0580.818
Expectancy % +0.12%-0.34%
Kelly Criterion % 0.65%0.00%
📅 Weekly Performance
Best Week % +73.25%+24.61%
Worst Week % -28.61%-19.41%
Weekly Win Rate % 50.0%44.2%
📆 Monthly Performance
Best Month % +84.19%+16.08%
Worst Month % -52.59%-24.24%
Monthly Win Rate % 53.8%30.8%
🔧 Technical Indicators
RSI (14-period) 38.8526.44
Price vs 50-Day MA % -22.39%-29.27%
Price vs 200-Day MA % -8.46%-43.26%

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 MATH (MATH): 0.102 (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
MATH: Coinbase