CSPR CSPR / RESOLV Crypto vs PYTH PYTH / RESOLV 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 CSPR / RESOLVPYTH / RESOLV
📈 Performance Metrics
Start Price 0.040.37
End Price 0.091.14
Price Change % +132.69%+205.74%
Period High 0.162.15
Period Low 0.040.36
Price Range % 308.2%498.1%
🏆 All-Time Records
All-Time High 0.162.15
Days Since ATH 6 days7 days
Distance From ATH % -42.5%-47.1%
All-Time Low 0.040.36
Distance From ATL % +134.6%+216.2%
New ATHs Hit 22 times24 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.37%5.55%
Biggest Jump (1 Day) % +0.07+0.74
Biggest Drop (1 Day) % -0.03-0.40
Days Above Avg % 37.9%39.7%
Extreme Moves days 3 (2.3%)4 (3.1%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%55.4%
Recent Momentum (10-day) % +43.41%+11.37%
📊 Statistical Measures
Average Price 0.070.92
Median Price 0.070.78
Price Std Deviation 0.020.38
🚀 Returns & Growth
CAGR % +951.77%+2,205.22%
Annualized Return % +951.77%+2,205.22%
Total Return % +132.69%+205.74%
⚠️ Risk & Volatility
Daily Volatility % 9.88%11.21%
Annualized Volatility % 188.71%214.26%
Max Drawdown % -44.58%-47.59%
Sharpe Ratio 0.1060.121
Sortino Ratio 0.1710.194
Calmar Ratio 21.34746.337
Ulcer Index 18.2718.62
📅 Daily Performance
Win Rate % 50.4%55.4%
Positive Days 6672
Negative Days 6558
Best Day % +80.19%+97.26%
Worst Day % -24.98%-24.25%
Avg Gain (Up Days) % +6.35%+6.30%
Avg Loss (Down Days) % -4.34%-4.79%
Profit Factor 1.491.63
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 58
💹 Trading Metrics
Omega Ratio 1.4861.633
Expectancy % +1.05%+1.35%
Kelly Criterion % 3.79%4.48%
📅 Weekly Performance
Best Week % +41.82%+63.89%
Worst Week % -42.54%-45.94%
Weekly Win Rate % 70.0%85.0%
📆 Monthly Performance
Best Month % +84.11%+101.25%
Worst Month % -40.04%-45.91%
Monthly Win Rate % 66.7%83.3%
🔧 Technical Indicators
RSI (14-period) 59.2444.85
Price vs 50-Day MA % +7.20%-13.57%
💰 Volume Analysis
Avg Volume 117,785,33020,120,853
Total Volume 15,547,663,4982,635,831,702

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).

CSPR (CSPR) vs PYTH (PYTH): 0.805 (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

CSPR: Bybit
PYTH: Kraken