PYTH PYTH / GSWIFT Crypto vs MODE MODE / GSWIFT Crypto

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

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Asset PYTH / GSWIFTMODE / GSWIFT
📈 Performance Metrics
Start Price 3.160.36
End Price 62.630.44
Price Change % +1,882.48%+21.66%
Period High 62.630.73
Period Low 3.100.19
Price Range % 1,918.1%276.3%
🏆 All-Time Records
All-Time High 62.630.73
Days Since ATH 0 days268 days
Distance From ATH % +0.0%-40.6%
All-Time Low 3.100.19
Distance From ATL % +1,918.1%+123.4%
New ATHs Hit 40 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%6.71%
Biggest Jump (1 Day) % +16.74+0.11
Biggest Drop (1 Day) % -3.33-0.15
Days Above Avg % 37.3%34.3%
Extreme Moves days 9 (2.9%)21 (6.8%)
Stability Score % 35.8%0.0%
Trend Strength % 56.8%46.3%
Recent Momentum (10-day) % +38.98%+18.41%
📊 Statistical Measures
Average Price 14.040.35
Median Price 11.290.31
Price Std Deviation 9.140.10
🚀 Returns & Growth
CAGR % +3,267.91%+25.87%
Annualized Return % +3,267.91%+25.87%
Total Return % +1,882.48%+21.66%
⚠️ Risk & Volatility
Daily Volatility % 9.02%8.77%
Annualized Volatility % 172.29%167.64%
Max Drawdown % -32.87%-73.42%
Sharpe Ratio 0.1460.051
Sortino Ratio 0.2000.057
Calmar Ratio 99.4180.352
Ulcer Index 15.3653.14
📅 Daily Performance
Win Rate % 56.8%46.3%
Positive Days 176144
Negative Days 134167
Best Day % +96.03%+30.62%
Worst Day % -26.77%-28.20%
Avg Gain (Up Days) % +5.97%+7.57%
Avg Loss (Down Days) % -4.81%-5.70%
Profit Factor 1.631.15
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 410
💹 Trading Metrics
Omega Ratio 1.6331.146
Expectancy % +1.31%+0.45%
Kelly Criterion % 4.58%1.03%
📅 Weekly Performance
Best Week % +65.04%+29.76%
Worst Week % -11.35%-43.16%
Weekly Win Rate % 74.5%55.3%
📆 Monthly Performance
Best Month % +94.65%+78.12%
Worst Month % -5.72%-30.87%
Monthly Win Rate % 83.3%58.3%
🔧 Technical Indicators
RSI (14-period) 84.4674.61
Price vs 50-Day MA % +97.41%+48.51%
Price vs 200-Day MA % +247.64%+43.03%

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 MODE (MODE): -0.361 (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
MODE: Bybit