PYTH PYTH / GSWIFT Crypto vs ATM ATM / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / GSWIFTATM / USD
📈 Performance Metrics
Start Price 4.132.22
End Price 62.630.91
Price Change % +1,417.10%-58.83%
Period High 62.632.52
Period Low 3.100.88
Price Range % 1,918.1%185.1%
🏆 All-Time Records
All-Time High 62.632.52
Days Since ATH 0 days335 days
Distance From ATH % +0.0%-63.7%
All-Time Low 3.100.88
Distance From ATL % +1,918.1%+3.5%
New ATHs Hit 35 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.51%2.88%
Biggest Jump (1 Day) % +16.74+0.36
Biggest Drop (1 Day) % -3.33-0.39
Days Above Avg % 36.4%36.9%
Extreme Moves days 10 (3.1%)15 (4.4%)
Stability Score % 33.8%0.0%
Trend Strength % 56.3%50.1%
Recent Momentum (10-day) % +38.98%-4.29%
📊 Statistical Measures
Average Price 13.721.39
Median Price 11.061.27
Price Std Deviation 9.170.39
🚀 Returns & Growth
CAGR % +2,123.79%-61.11%
Annualized Return % +2,123.79%-61.11%
Total Return % +1,417.10%-58.83%
⚠️ Risk & Volatility
Daily Volatility % 9.09%4.46%
Annualized Volatility % 173.69%85.15%
Max Drawdown % -33.17%-64.92%
Sharpe Ratio 0.133-0.036
Sortino Ratio 0.175-0.036
Calmar Ratio 64.019-0.941
Ulcer Index 16.0847.44
📅 Daily Performance
Win Rate % 56.3%49.4%
Positive Days 180168
Negative Days 140172
Best Day % +96.03%+31.82%
Worst Day % -26.77%-26.58%
Avg Gain (Up Days) % +6.00%+2.67%
Avg Loss (Down Days) % -4.95%-2.93%
Profit Factor 1.560.89
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.5580.891
Expectancy % +1.21%-0.16%
Kelly Criterion % 4.07%0.00%
📅 Weekly Performance
Best Week % +65.04%+36.97%
Worst Week % -27.43%-18.50%
Weekly Win Rate % 73.5%44.2%
📆 Monthly Performance
Best Month % +94.65%+63.02%
Worst Month % -5.72%-19.32%
Monthly Win Rate % 76.9%23.1%
🔧 Technical Indicators
RSI (14-period) 84.4640.13
Price vs 50-Day MA % +97.41%-19.33%
Price vs 200-Day MA % +247.64%-23.91%

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 ATM (ATM): -0.445 (Moderate negative)

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
ATM: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures