PYTH PYTH / FTT Crypto vs SYN SYN / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

Settings

🤖 AI Analysis

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / FTTSYN / USD

📈 Performance Metrics

Start Price 0.200.76

End Price 0.130.06

Price Change % -36.92%-92.66%

Period High 0.260.96

Period Low 0.090.06

Price Range % 189.5%1,615.7%

🏆 All-Time Records

All-Time High 0.260.96

Days Since ATH 74 days338 days

Distance From ATH % -51.3%-94.2%

All-Time Low 0.090.06

Distance From ATL % +41.1%+0.0%

New ATHs Hit 1 times4 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.31%5.63%

Biggest Jump (1 Day) % +0.13+0.11

Biggest Drop (1 Day) % -0.05-0.17

Days Above Avg % 33.7%32.0%

Extreme Moves days 11 (3.2%)14 (4.1%)

Stability Score % 0.0%0.0%

Trend Strength % 50.7%56.6%

Recent Momentum (10-day) % -2.20%-5.67%

📊 Statistical Measures

Average Price 0.140.25

Median Price 0.130.16

Price Std Deviation 0.030.20

🚀 Returns & Growth

CAGR % -38.76%-93.79%

Annualized Return % -38.76%-93.79%

Total Return % -36.92%-92.66%

⚠️ Risk & Volatility

Daily Volatility % 7.78%7.59%

Annualized Volatility % 148.67%144.92%

Max Drawdown % -56.82%-94.17%

Sharpe Ratio 0.016-0.063

Sortino Ratio 0.020-0.071

Calmar Ratio -0.682-0.996

Ulcer Index 38.1076.55

📅 Daily Performance

Win Rate % 49.3%43.1%

Positive Days 169147

Negative Days 174194

Best Day % +95.03%+46.54%

Worst Day % -29.08%-32.92%

Avg Gain (Up Days) % +4.45%+5.71%

Avg Loss (Down Days) % -4.07%-5.17%

Profit Factor 1.060.84

🔥 Streaks & Patterns

Longest Win Streak days 76

Longest Loss Streak days 87

💹 Trading Metrics

Omega Ratio 1.0610.836

Expectancy % +0.13%-0.48%

Kelly Criterion % 0.70%0.00%

📅 Weekly Performance

Best Week % +73.25%+62.42%

Worst Week % -28.61%-32.44%

Weekly Win Rate % 50.0%40.4%

📆 Monthly Performance

Best Month % +84.19%+72.71%

Worst Month % -53.50%-45.27%

Monthly Win Rate % 53.8%23.1%

🔧 Technical Indicators

RSI (14-period) 46.1929.96

Price vs 50-Day MA % -8.75%-32.74%

Price vs 200-Day MA % -9.48%-60.32%

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 SYN (SYN):	-0.059 (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
SYN: Kraken