GSWIFT GSWIFT / PYTH Crypto vs MIM MIM / PYTH 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 GSWIFT / PYTHMIM / PYTH
📈 Performance Metrics
Start Price 0.290.04
End Price 0.020.01
Price Change % -94.56%-83.05%
Period High 0.290.04
Period Low 0.020.01
Price Range % 1,738.7%607.2%
🏆 All-Time Records
All-Time High 0.290.04
Days Since ATH 307 days105 days
Distance From ATH % -94.6%-83.0%
All-Time Low 0.020.01
Distance From ATL % +0.0%+19.9%
New ATHs Hit 0 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.24%6.96%
Biggest Jump (1 Day) % +0.04+0.00
Biggest Drop (1 Day) % -0.03-0.01
Days Above Avg % 33.1%21.7%
Extreme Moves days 12 (3.9%)3 (2.9%)
Stability Score % 0.0%0.0%
Trend Strength % 56.7%55.2%
Recent Momentum (10-day) % -25.03%-2.51%
📊 Statistical Measures
Average Price 0.100.01
Median Price 0.090.01
Price Std Deviation 0.060.01
🚀 Returns & Growth
CAGR % -96.86%-99.79%
Annualized Return % -96.86%-99.79%
Total Return % -94.56%-83.05%
⚠️ Risk & Volatility
Daily Volatility % 7.64%9.29%
Annualized Volatility % 146.02%177.44%
Max Drawdown % -94.56%-85.86%
Sharpe Ratio -0.083-0.124
Sortino Ratio -0.083-0.111
Calmar Ratio -1.024-1.162
Ulcer Index 68.8972.00
📅 Daily Performance
Win Rate % 43.3%44.8%
Positive Days 13347
Negative Days 17458
Best Day % +36.55%+30.90%
Worst Day % -48.99%-56.10%
Avg Gain (Up Days) % +5.34%+5.80%
Avg Loss (Down Days) % -5.20%-6.79%
Profit Factor 0.780.69
🔥 Streaks & Patterns
Longest Win Streak days 44
Longest Loss Streak days 59
💹 Trading Metrics
Omega Ratio 0.7850.692
Expectancy % -0.63%-1.15%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +12.81%+26.16%
Worst Week % -39.41%-46.91%
Weekly Win Rate % 25.5%35.3%
📆 Monthly Performance
Best Month % +6.07%+15.22%
Worst Month % -48.62%-70.42%
Monthly Win Rate % 16.7%40.0%
🔧 Technical Indicators
RSI (14-period) 18.2753.82
Price vs 50-Day MA % -51.20%-8.33%
Price vs 200-Day MA % -76.03%N/A
💰 Volume Analysis
Avg Volume 70,480,243231,241,820
Total Volume 21,707,914,71524,511,632,963

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).

GSWIFT (GSWIFT) vs MIM (MIM): 0.925 (Strong 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

GSWIFT: Bybit
MIM: Kraken