PYTH PYTH / MDAO Crypto vs FLOW FLOW / 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 / MDAOFLOW / MDAO
📈 Performance Metrics
Start Price 7.3216.02
End Price 12.8941.32
Price Change % +76.02%+157.92%
Period High 13.1441.63
Period Low 2.888.00
Price Range % 356.3%420.5%
🏆 All-Time Records
All-Time High 13.1441.63
Days Since ATH 1 days1 days
Distance From ATH % -2.0%-0.7%
All-Time Low 2.888.00
Distance From ATL % +347.4%+416.7%
New ATHs Hit 11 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.85%5.10%
Biggest Jump (1 Day) % +3.03+10.51
Biggest Drop (1 Day) % -6.09-17.48
Days Above Avg % 44.0%41.3%
Extreme Moves days 13 (3.8%)16 (4.7%)
Stability Score % 0.0%46.4%
Trend Strength % 54.4%53.2%
Recent Momentum (10-day) % +10.28%+25.66%
📊 Statistical Measures
Average Price 5.4414.17
Median Price 5.2713.67
Price Std Deviation 1.533.90
🚀 Returns & Growth
CAGR % +83.49%+176.53%
Annualized Return % +83.49%+176.53%
Total Return % +76.02%+157.92%
⚠️ Risk & Volatility
Daily Volatility % 8.70%7.60%
Annualized Volatility % 166.24%145.15%
Max Drawdown % -66.53%-55.74%
Sharpe Ratio 0.0620.076
Sortino Ratio 0.0670.079
Calmar Ratio 1.2553.167
Ulcer Index 40.9728.13
📅 Daily Performance
Win Rate % 54.4%53.2%
Positive Days 185181
Negative Days 155159
Best Day % +58.79%+45.02%
Worst Day % -47.91%-49.79%
Avg Gain (Up Days) % +5.66%+4.97%
Avg Loss (Down Days) % -5.56%-4.43%
Profit Factor 1.211.28
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.2141.279
Expectancy % +0.54%+0.58%
Kelly Criterion % 1.73%2.63%
📅 Weekly Performance
Best Week % +56.09%+67.60%
Worst Week % -21.65%-17.27%
Weekly Win Rate % 57.7%63.5%
📆 Monthly Performance
Best Month % +83.05%+140.47%
Worst Month % -28.23%-29.41%
Monthly Win Rate % 53.8%69.2%
🔧 Technical Indicators
RSI (14-period) 60.4366.23
Price vs 50-Day MA % +107.65%+153.84%
Price vs 200-Day MA % +151.94%+184.02%

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 FLOW (FLOW): 0.822 (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
FLOW: Kraken
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