PYTH PYTH / MCDX Crypto vs FLOW FLOW / MCDX Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / MCDXFLOW / MCDX
📈 Performance Metrics
Start Price 0.000.00
End Price 0.000.00
Price Change % -25.30%-34.08%
Period High 0.000.00
Period Low 0.000.00
Price Range % 217.0%105.5%
🏆 All-Time Records
All-Time High 0.000.00
Days Since ATH 69 days107 days
Distance From ATH % -65.7%-51.3%
All-Time Low 0.000.00
Distance From ATL % +8.8%+0.0%
New ATHs Hit 12 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.17%3.30%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 44.6%68.6%
Extreme Moves days 3 (2.5%)4 (3.3%)
Stability Score % 0.0%0.0%
Trend Strength % 55.0%50.0%
Recent Momentum (10-day) % -19.98%-11.02%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -58.81%-71.85%
Annualized Return % -58.81%-71.85%
Total Return % -25.30%-34.08%
⚠️ Risk & Volatility
Daily Volatility % 10.88%4.91%
Annualized Volatility % 207.80%93.78%
Max Drawdown % -68.46%-51.33%
Sharpe Ratio 0.020-0.044
Sortino Ratio 0.031-0.040
Calmar Ratio -0.859-1.400
Ulcer Index 34.8526.18
📅 Daily Performance
Win Rate % 44.5%49.6%
Positive Days 5359
Negative Days 6660
Best Day % +97.62%+17.06%
Worst Day % -33.69%-29.46%
Avg Gain (Up Days) % +6.09%+3.09%
Avg Loss (Down Days) % -4.51%-3.48%
Profit Factor 1.090.87
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 1.0860.874
Expectancy % +0.21%-0.22%
Kelly Criterion % 0.78%0.00%
📅 Weekly Performance
Best Week % +67.14%+18.75%
Worst Week % -21.14%-12.24%
Weekly Win Rate % 57.9%57.9%
📆 Monthly Performance
Best Month % +62.07%+15.58%
Worst Month % -30.84%-15.78%
Monthly Win Rate % 60.0%60.0%
🔧 Technical Indicators
RSI (14-period) 29.9927.08
Price vs 50-Day MA % -37.11%-26.45%

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): 0.747 (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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