PYTH PYTH / SPK Crypto vs AUDIO AUDIO / SPK 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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🤖 AI Analysis

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Asset PYTH / SPKAUDIO / SPK

📈 Performance Metrics

Start Price 2.301.41

End Price 3.091.13

Price Change % +34.39%-19.79%

Period High 3.892.05

Period Low 0.740.39

Price Range % 426.3%426.7%

🏆 All-Time Records

All-Time High 3.892.05

Days Since ATH 89 days89 days

Distance From ATH % -20.5%-44.8%

All-Time Low 0.740.39

Distance From ATL % +318.2%+190.5%

New ATHs Hit 16 times12 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.72%5.94%

Biggest Jump (1 Day) % +1.92+0.24

Biggest Drop (1 Day) % -1.37-0.72

Days Above Avg % 60.9%34.8%

Extreme Moves days 4 (3.5%)4 (3.5%)

Stability Score % 0.0%0.0%

Trend Strength % 64.0%42.1%

Recent Momentum (10-day) % +6.18%+2.77%

📊 Statistical Measures

Average Price 2.431.11

Median Price 2.631.05

Price Std Deviation 0.840.41

🚀 Returns & Growth

CAGR % +157.62%-50.64%

Annualized Return % +157.62%-50.64%

Total Return % +34.39%-19.79%

⚠️ Risk & Volatility

Daily Volatility % 14.72%10.72%

Annualized Volatility % 281.20%204.80%

Max Drawdown % -81.00%-81.01%

Sharpe Ratio 0.0850.041

Sortino Ratio 0.0900.037

Calmar Ratio 1.946-0.625

Ulcer Index 41.0648.72

📅 Daily Performance

Win Rate % 64.0%57.9%

Positive Days 7366

Negative Days 4148

Best Day % +103.53%+57.77%

Worst Day % -55.27%-51.59%

Avg Gain (Up Days) % +6.87%+5.78%

Avg Loss (Down Days) % -8.76%-6.91%

Profit Factor 1.401.15

🔥 Streaks & Patterns

Longest Win Streak days 86

Longest Loss Streak days 44

💹 Trading Metrics

Omega Ratio 1.3961.152

Expectancy % +1.25%+0.44%

Kelly Criterion % 2.07%1.10%

📅 Weekly Performance

Best Week % +116.56%+40.11%

Worst Week % -39.18%-37.83%

Weekly Win Rate % 68.4%63.2%

📆 Monthly Performance

Best Month % +160.85%+62.69%

Worst Month % -55.73%-58.48%

Monthly Win Rate % 83.3%66.7%

🔧 Technical Indicators

RSI (14-period) 55.3057.84

Price vs 50-Day MA % +9.81%+8.39%

💰 Volume Analysis

Avg Volume 51,293,5945,134,108

Total Volume 5,898,763,258590,422,396

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 AUDIO (AUDIO):	0.797 (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
AUDIO: Kraken