SPK SPK / ACM Crypto vs PYTH PYTH / USD 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 SPK / ACMPYTH / USD
📈 Performance Metrics
Start Price 0.050.40
End Price 0.050.09
Price Change % +0.68%-77.36%
Period High 0.210.53
Period Low 0.040.09
Price Range % 458.2%518.7%
🏆 All-Time Records
All-Time High 0.210.53
Days Since ATH 85 days317 days
Distance From ATH % -75.4%-82.9%
All-Time Low 0.040.09
Distance From ATL % +37.5%+5.8%
New ATHs Hit 6 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 8.47%4.37%
Biggest Jump (1 Day) % +0.11+0.11
Biggest Drop (1 Day) % -0.08-0.09
Days Above Avg % 32.8%30.8%
Extreme Moves days 5 (4.2%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 39.0%49.9%
Recent Momentum (10-day) % -6.81%-25.14%
📊 Statistical Measures
Average Price 0.070.21
Median Price 0.060.16
Price Std Deviation 0.030.12
🚀 Returns & Growth
CAGR % +2.13%-79.42%
Annualized Return % +2.13%-79.42%
Total Return % +0.68%-77.36%
⚠️ Risk & Volatility
Daily Volatility % 13.99%7.91%
Annualized Volatility % 267.26%151.06%
Max Drawdown % -75.36%-83.84%
Sharpe Ratio 0.056-0.021
Sortino Ratio 0.101-0.027
Calmar Ratio 0.028-0.947
Ulcer Index 57.3964.28
📅 Daily Performance
Win Rate % 39.0%50.0%
Positive Days 46171
Negative Days 72171
Best Day % +101.35%+99.34%
Worst Day % -38.06%-32.57%
Avg Gain (Up Days) % +10.11%+4.41%
Avg Loss (Down Days) % -5.19%-4.75%
Profit Factor 1.250.93
🔥 Streaks & Patterns
Longest Win Streak days 47
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.2450.928
Expectancy % +0.78%-0.17%
Kelly Criterion % 1.48%0.00%
📅 Weekly Performance
Best Week % +30.63%+65.86%
Worst Week % -28.07%-27.08%
Weekly Win Rate % 26.3%51.9%
📆 Monthly Performance
Best Month % +107.77%+65.32%
Worst Month % -39.05%-31.62%
Monthly Win Rate % 33.3%38.5%
🔧 Technical Indicators
RSI (14-period) 36.0216.61
Price vs 50-Day MA % -15.77%-41.83%
Price vs 200-Day MA % N/A-32.70%

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).

SPK (SPK) vs PYTH (PYTH): 0.046 (Weak)

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

SPK: Kraken
PYTH: Kraken