PYTH PYTH / CSPR 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.

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / CSPRPYTH / USD
📈 Performance Metrics
Start Price 49.230.33
End Price 13.850.11
Price Change % -71.88%-67.08%
Period High 57.550.53
Period Low 7.660.09
Price Range % 650.9%518.7%
🏆 All-Time Records
All-Time High 57.550.53
Days Since ATH 338 days313 days
Distance From ATH % -75.9%-79.4%
All-Time Low 7.660.09
Distance From ATL % +80.6%+27.4%
New ATHs Hit 5 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.73%4.40%
Biggest Jump (1 Day) % +10.94+0.11
Biggest Drop (1 Day) % -21.27-0.09
Days Above Avg % 36.3%30.5%
Extreme Moves days 9 (2.6%)6 (1.7%)
Stability Score % 51.8%0.0%
Trend Strength % 50.4%49.6%
Recent Momentum (10-day) % +1.78%-3.55%
📊 Statistical Measures
Average Price 16.780.21
Median Price 15.380.16
Price Std Deviation 8.610.12
🚀 Returns & Growth
CAGR % -74.08%-69.35%
Annualized Return % -74.08%-69.35%
Total Return % -71.88%-67.08%
⚠️ Risk & Volatility
Daily Volatility % 8.10%7.91%
Annualized Volatility % 154.69%151.21%
Max Drawdown % -86.68%-83.84%
Sharpe Ratio -0.008-0.008
Sortino Ratio -0.009-0.010
Calmar Ratio -0.855-0.827
Ulcer Index 72.3963.65
📅 Daily Performance
Win Rate % 49.6%50.4%
Positive Days 170173
Negative Days 173170
Best Day % +96.25%+99.34%
Worst Day % -53.49%-32.57%
Avg Gain (Up Days) % +4.29%+4.48%
Avg Loss (Down Days) % -4.34%-4.68%
Profit Factor 0.970.97
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 0.9720.974
Expectancy % -0.06%-0.06%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +67.37%+65.86%
Worst Week % -63.07%-27.08%
Weekly Win Rate % 47.2%50.9%
📆 Monthly Performance
Best Month % +77.16%+65.32%
Worst Month % -44.25%-31.62%
Monthly Win Rate % 23.1%38.5%
🔧 Technical Indicators
RSI (14-period) 36.5328.99
Price vs 50-Day MA % -15.81%-30.99%
Price vs 200-Day MA % +12.17%-19.76%
💰 Volume Analysis
Avg Volume 165,629,7091,912,927
Total Volume 56,976,619,846658,046,884

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 PYTH (PYTH): 0.759 (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
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures