PYTH PYTH / MIM Crypto vs FORTH FORTH / MIM 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 / MIMFORTH / MIM
📈 Performance Metrics
Start Price 26.44570.70
End Price 120.152,485.19
Price Change % +354.50%+335.46%
Period High 162.363,506.78
Period Low 26.44570.70
Price Range % 514.2%514.5%
🏆 All-Time Records
All-Time High 162.363,506.78
Days Since ATH 6 days4 days
Distance From ATH % -26.0%-29.1%
All-Time Low 26.44570.70
Distance From ATL % +354.5%+335.5%
New ATHs Hit 13 times24 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.83%6.77%
Biggest Jump (1 Day) % +63.34+935.53
Biggest Drop (1 Day) % -27.07-552.23
Days Above Avg % 63.0%35.6%
Extreme Moves days 1 (1.4%)3 (4.2%)
Stability Score % 81.1%99.4%
Trend Strength % 56.9%58.3%
Recent Momentum (10-day) % +43.81%+79.93%
📊 Statistical Measures
Average Price 88.771,628.93
Median Price 92.921,528.75
Price Std Deviation 34.00645.30
🚀 Returns & Growth
CAGR % +215,341.47%+173,332.72%
Annualized Return % +215,341.47%+173,332.72%
Total Return % +354.50%+335.46%
⚠️ Risk & Volatility
Daily Volatility % 16.79%9.59%
Annualized Volatility % 320.72%183.12%
Max Drawdown % -33.29%-32.23%
Sharpe Ratio 0.1820.260
Sortino Ratio 0.4150.338
Calmar Ratio 6,468.1235,378.250
Ulcer Index 15.3312.60
📅 Daily Performance
Win Rate % 56.9%58.3%
Positive Days 4142
Negative Days 3130
Best Day % +127.80%+48.73%
Worst Day % -23.61%-21.68%
Avg Gain (Up Days) % +9.47%+7.92%
Avg Loss (Down Days) % -5.44%-5.12%
Profit Factor 2.302.17
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 2.3022.168
Expectancy % +3.05%+2.49%
Kelly Criterion % 5.92%6.14%
📅 Weekly Performance
Best Week % +88.35%+25.33%
Worst Week % -20.74%-23.82%
Weekly Win Rate % 76.9%76.9%
📆 Monthly Performance
Best Month % +238.01%+138.65%
Worst Month % -13.28%-12.96%
Monthly Win Rate % 50.0%50.0%
🔧 Technical Indicators
RSI (14-period) 63.8369.91
Price vs 50-Day MA % +12.41%+30.39%

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 FORTH (FORTH): 0.918 (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

PYTH: Kraken
FORTH: Kraken