PYTH PYTH / SIS Crypto vs CTSI CTSI / SIS 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / SISCTSI / SIS

📈 Performance Metrics

Start Price 4.011.39

End Price 2.040.92

Price Change % -49.07%-33.84%

Period High 4.561.83

Period Low 1.420.74

Price Range % 221.2%147.0%

🏆 All-Time Records

All-Time High 4.561.83

Days Since ATH 339 days322 days

Distance From ATH % -55.3%-49.6%

All-Time Low 1.420.74

Distance From ATL % +43.6%+24.4%

New ATHs Hit 4 times7 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.60%4.05%

Biggest Jump (1 Day) % +1.54+0.55

Biggest Drop (1 Day) % -0.71-0.28

Days Above Avg % 44.2%43.3%

Extreme Moves days 9 (2.6%)17 (5.0%)

Stability Score % 0.0%0.0%

Trend Strength % 51.3%48.7%

Recent Momentum (10-day) % -6.61%-13.43%

📊 Statistical Measures

Average Price 2.571.22

Median Price 2.441.19

Price Std Deviation 0.670.20

🚀 Returns & Growth

CAGR % -51.23%-35.57%

Annualized Return % -51.23%-35.57%

Total Return % -49.07%-33.84%

⚠️ Risk & Volatility

Daily Volatility % 7.55%6.01%

Annualized Volatility % 144.15%114.89%

Max Drawdown % -68.86%-59.52%

Sharpe Ratio 0.0060.009

Sortino Ratio 0.0080.010

Calmar Ratio -0.744-0.598

Ulcer Index 46.0134.72

📅 Daily Performance

Win Rate % 48.7%51.3%

Positive Days 167176

Negative Days 176167

Best Day % +88.45%+49.18%

Worst Day % -19.58%-17.71%

Avg Gain (Up Days) % +4.80%+4.04%

Avg Loss (Down Days) % -4.46%-4.15%

Profit Factor 1.021.03

🔥 Streaks & Patterns

Longest Win Streak days 96

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 1.0211.026

Expectancy % +0.05%+0.05%

Kelly Criterion % 0.22%0.32%

📅 Weekly Performance

Best Week % +47.45%+45.50%

Worst Week % -21.19%-25.60%

Weekly Win Rate % 47.2%37.7%

📆 Monthly Performance

Best Month % +52.70%+29.37%

Worst Month % -38.78%-31.04%

Monthly Win Rate % 38.5%46.2%

🔧 Technical Indicators

RSI (14-period) 51.3944.73

Price vs 50-Day MA % -6.82%-13.97%

Price vs 200-Day MA % -6.07%-16.92%

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 CTSI (CTSI):	0.793 (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
CTSI: Kraken