PYTH PYTH / SPK Crypto vs INTER INTER / SPK Crypto

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

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Asset PYTH / SPKINTER / SPK
📈 Performance Metrics
Start Price 2.3012.88
End Price 2.4910.99
Price Change % +8.12%-14.71%
Period High 3.8916.04
Period Low 0.742.83
Price Range % 426.3%465.7%
🏆 All-Time Records
All-Time High 3.8916.04
Days Since ATH 115 days121 days
Distance From ATH % -36.1%-31.5%
All-Time Low 0.742.83
Distance From ATL % +236.4%+287.5%
New ATHs Hit 16 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.98%5.74%
Biggest Jump (1 Day) % +1.92+2.29
Biggest Drop (1 Day) % -1.37-4.89
Days Above Avg % 64.5%40.7%
Extreme Moves days 5 (3.6%)6 (4.3%)
Stability Score % 0.0%0.0%
Trend Strength % 60.0%46.0%
Recent Momentum (10-day) % -6.88%+6.71%
📊 Statistical Measures
Average Price 2.479.57
Median Price 2.639.01
Price Std Deviation 0.772.97
🚀 Returns & Growth
CAGR % +22.57%-34.15%
Annualized Return % +22.57%-34.15%
Total Return % +8.12%-14.71%
⚠️ Risk & Volatility
Daily Volatility % 13.48%10.51%
Annualized Volatility % 257.46%200.81%
Max Drawdown % -81.00%-82.32%
Sharpe Ratio 0.0660.045
Sortino Ratio 0.0720.043
Calmar Ratio 0.279-0.415
Ulcer Index 39.6243.87
📅 Daily Performance
Win Rate % 60.4%54.0%
Positive Days 8475
Negative Days 5564
Best Day % +103.53%+61.93%
Worst Day % -55.27%-49.36%
Avg Gain (Up Days) % +6.31%+6.28%
Avg Loss (Down Days) % -7.38%-6.34%
Profit Factor 1.311.16
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 1.3061.162
Expectancy % +0.89%+0.47%
Kelly Criterion % 1.92%1.19%
📅 Weekly Performance
Best Week % +116.56%+34.60%
Worst Week % -39.18%-27.62%
Weekly Win Rate % 68.2%63.6%
📆 Monthly Performance
Best Month % +160.85%+61.01%
Worst Month % -55.73%-57.48%
Monthly Win Rate % 66.7%66.7%
🔧 Technical Indicators
RSI (14-period) 38.1257.11
Price vs 50-Day MA % -11.76%+10.95%

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 INTER (INTER): 0.756 (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
INTER: Bybit