SPK SPK / PYTH Crypto vs RENDER RENDER / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset SPK / PYTHRENDER / USD
📈 Performance Metrics
Start Price 0.439.08
End Price 0.341.55
Price Change % -21.07%-82.91%
Period High 1.359.31
Period Low 0.261.55
Price Range % 426.3%501.3%
🏆 All-Time Records
All-Time High 1.359.31
Days Since ATH 122 days342 days
Distance From ATH % -74.6%-83.3%
All-Time Low 0.261.55
Distance From ATL % +33.5%+0.2%
New ATHs Hit 4 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.38%4.19%
Biggest Jump (1 Day) % +0.75+0.65
Biggest Drop (1 Day) % -0.48-1.02
Days Above Avg % 25.6%36.3%
Extreme Moves days 5 (3.2%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 59.4%53.6%
Recent Momentum (10-day) % -10.07%-8.15%
📊 Statistical Measures
Average Price 0.464.10
Median Price 0.383.80
Price Std Deviation 0.201.57
🚀 Returns & Growth
CAGR % -42.72%-84.74%
Annualized Return % -42.72%-84.74%
Total Return % -21.07%-82.91%
⚠️ Risk & Volatility
Daily Volatility % 14.20%5.54%
Annualized Volatility % 271.25%105.84%
Max Drawdown % -80.42%-83.37%
Sharpe Ratio 0.046-0.065
Sortino Ratio 0.077-0.064
Calmar Ratio -0.531-1.016
Ulcer Index 61.0258.45
📅 Daily Performance
Win Rate % 40.6%46.4%
Positive Days 63159
Negative Days 92184
Best Day % +123.56%+25.51%
Worst Day % -50.87%-30.41%
Avg Gain (Up Days) % +8.75%+4.13%
Avg Loss (Down Days) % -4.89%-4.23%
Profit Factor 1.230.84
🔥 Streaks & Patterns
Longest Win Streak days 47
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.2250.842
Expectancy % +0.65%-0.36%
Kelly Criterion % 1.53%0.00%
📅 Weekly Performance
Best Week % +64.42%+27.55%
Worst Week % -53.82%-24.59%
Weekly Win Rate % 29.2%48.1%
📆 Monthly Performance
Best Month % +125.91%+20.99%
Worst Month % -61.66%-29.02%
Monthly Win Rate % 28.6%23.1%
🔧 Technical Indicators
RSI (14-period) 21.8541.43
Price vs 50-Day MA % -6.05%-25.73%
Price vs 200-Day MA % N/A-54.37%
💰 Volume Analysis
Avg Volume 11,505,435274,917
Total Volume 1,794,847,80494,571,606

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 RENDER (RENDER): 0.340 (Moderate 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

SPK: Kraken
RENDER: Kraken