PYTH PYTH / SPK 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 PYTH / SPKRENDER / USD
📈 Performance Metrics
Start Price 2.308.93
End Price 2.851.64
Price Change % +23.75%-81.65%
Period High 3.899.62
Period Low 0.741.57
Price Range % 426.3%514.5%
🏆 All-Time Records
All-Time High 3.899.62
Days Since ATH 125 days341 days
Distance From ATH % -26.8%-83.0%
All-Time Low 0.741.57
Distance From ATL % +285.1%+4.7%
New ATHs Hit 16 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.70%4.17%
Biggest Jump (1 Day) % +1.92+0.89
Biggest Drop (1 Day) % -1.37-1.02
Days Above Avg % 64.2%34.6%
Extreme Moves days 5 (3.3%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 60.0%53.6%
Recent Momentum (10-day) % +7.34%-7.65%
📊 Statistical Measures
Average Price 2.484.21
Median Price 2.643.84
Price Std Deviation 0.741.65
🚀 Returns & Growth
CAGR % +67.96%-83.54%
Annualized Return % +67.96%-83.54%
Total Return % +23.75%-81.65%
⚠️ Risk & Volatility
Daily Volatility % 13.03%5.56%
Annualized Volatility % 249.02%106.26%
Max Drawdown % -81.00%-83.73%
Sharpe Ratio 0.071-0.060
Sortino Ratio 0.077-0.060
Calmar Ratio 0.839-0.998
Ulcer Index 39.1358.83
📅 Daily Performance
Win Rate % 60.4%46.2%
Positive Days 90158
Negative Days 59184
Best Day % +103.53%+25.51%
Worst Day % -55.27%-30.41%
Avg Gain (Up Days) % +6.08%+4.19%
Avg Loss (Down Days) % -6.94%-4.22%
Profit Factor 1.340.85
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 47
💹 Trading Metrics
Omega Ratio 1.3370.852
Expectancy % +0.93%-0.34%
Kelly Criterion % 2.19%0.00%
📅 Weekly Performance
Best Week % +116.56%+27.55%
Worst Week % -39.18%-24.59%
Weekly Win Rate % 66.7%48.1%
📆 Monthly Performance
Best Month % +160.85%+20.99%
Worst Month % -55.73%-29.02%
Monthly Win Rate % 71.4%30.8%
🔧 Technical Indicators
RSI (14-period) 72.5839.30
Price vs 50-Day MA % +2.50%-28.12%
Price vs 200-Day MA % N/A-52.78%

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 RENDER (RENDER): -0.221 (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

PYTH: Kraken
RENDER: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures