PYTH PYTH / MDAO Crypto vs TOKE TOKE / MDAO Crypto

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

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Asset PYTH / MDAOTOKE / MDAO
📈 Performance Metrics
Start Price 5.877.73
End Price 6.8213.56
Price Change % +16.14%+75.27%
Period High 12.7124.69
Period Low 2.882.88
Price Range % 341.4%757.9%
🏆 All-Time Records
All-Time High 12.7124.69
Days Since ATH 2 days2 days
Distance From ATH % -46.4%-45.1%
All-Time Low 2.882.88
Distance From ATL % +136.7%+371.1%
New ATHs Hit 17 times18 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.51%6.06%
Biggest Jump (1 Day) % +2.88+7.39
Biggest Drop (1 Day) % -6.09-11.52
Days Above Avg % 48.0%48.8%
Extreme Moves days 13 (3.8%)20 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%47.8%
Recent Momentum (10-day) % +71.48%+91.61%
📊 Statistical Measures
Average Price 5.377.86
Median Price 5.287.84
Price Std Deviation 1.342.54
🚀 Returns & Growth
CAGR % +17.26%+81.70%
Annualized Return % +17.26%+81.70%
Total Return % +16.14%+75.27%
⚠️ Risk & Volatility
Daily Volatility % 8.31%9.44%
Annualized Volatility % 158.80%180.31%
Max Drawdown % -66.53%-77.45%
Sharpe Ratio 0.0470.063
Sortino Ratio 0.0490.077
Calmar Ratio 0.2591.055
Ulcer Index 40.3941.79
📅 Daily Performance
Win Rate % 54.5%47.8%
Positive Days 187164
Negative Days 156179
Best Day % +58.79%+61.11%
Worst Day % -47.91%-46.67%
Avg Gain (Up Days) % +5.27%+6.84%
Avg Loss (Down Days) % -5.46%-5.13%
Profit Factor 1.161.22
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1571.222
Expectancy % +0.39%+0.59%
Kelly Criterion % 1.36%1.70%
📅 Weekly Performance
Best Week % +37.96%+74.46%
Worst Week % -21.65%-29.69%
Weekly Win Rate % 56.6%49.1%
📆 Monthly Performance
Best Month % +45.24%+154.04%
Worst Month % -28.23%-42.89%
Monthly Win Rate % 46.2%69.2%
🔧 Technical Indicators
RSI (14-period) 66.2069.11
Price vs 50-Day MA % +38.14%+60.43%
Price vs 200-Day MA % +39.71%+85.33%

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 TOKE (TOKE): 0.794 (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
TOKE: Kraken
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