PYTH PYTH / MDAO Crypto vs FLOKI FLOKI / USD Crypto

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

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Asset PYTH / MDAOFLOKI / USD
📈 Performance Metrics
Start Price 5.910.00
End Price 7.000.00
Price Change % +18.48%-73.71%
Period High 12.710.00
Period Low 2.880.00
Price Range % 341.4%461.9%
🏆 All-Time Records
All-Time High 12.710.00
Days Since ATH 6 days337 days
Distance From ATH % -45.0%-78.7%
All-Time Low 2.880.00
Distance From ATL % +143.0%+19.8%
New ATHs Hit 16 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.62%4.55%
Biggest Jump (1 Day) % +2.88+0.00
Biggest Drop (1 Day) % -6.090.00
Days Above Avg % 47.1%30.2%
Extreme Moves days 13 (3.8%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 54.2%51.6%
Recent Momentum (10-day) % +47.05%-29.78%
📊 Statistical Measures
Average Price 5.380.00
Median Price 5.280.00
Price Std Deviation 1.360.00
🚀 Returns & Growth
CAGR % +19.78%-75.87%
Annualized Return % +19.78%-75.87%
Total Return % +18.48%-73.71%
⚠️ Risk & Volatility
Daily Volatility % 8.44%6.19%
Annualized Volatility % 161.33%118.33%
Max Drawdown % -66.53%-82.20%
Sharpe Ratio 0.048-0.032
Sortino Ratio 0.051-0.032
Calmar Ratio 0.297-0.923
Ulcer Index 40.6361.19
📅 Daily Performance
Win Rate % 54.2%48.1%
Positive Days 186164
Negative Days 157177
Best Day % +58.79%+30.55%
Worst Day % -47.91%-29.07%
Avg Gain (Up Days) % +5.39%+4.57%
Avg Loss (Down Days) % -5.50%-4.61%
Profit Factor 1.160.92
🔥 Streaks & Patterns
Longest Win Streak days 95
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.1610.918
Expectancy % +0.41%-0.20%
Kelly Criterion % 1.37%0.00%
📅 Weekly Performance
Best Week % +37.96%+41.34%
Worst Week % -21.65%-26.55%
Weekly Win Rate % 59.6%42.3%
📆 Monthly Performance
Best Month % +44.37%+55.20%
Worst Month % -28.23%-31.35%
Monthly Win Rate % 46.2%30.8%
🔧 Technical Indicators
RSI (14-period) 63.1922.30
Price vs 50-Day MA % +33.34%-33.27%
Price vs 200-Day MA % +41.87%-37.18%

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 FLOKI (FLOKI): 0.407 (Moderate 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
FLOKI: Kraken
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