ZIG ZIG / PYTH Crypto vs CHR CHR / 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

Model:

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

Asset ZIG / PYTHCHR / USD

📈 Performance Metrics

Start Price 0.650.20

End Price 0.770.06

Price Change % +17.53%-69.93%

Period High 0.860.35

Period Low 0.520.06

Price Range % 65.0%471.6%

🏆 All-Time Records

All-Time High 0.860.35

Days Since ATH 11 days325 days

Distance From ATH % -10.9%-82.5%

All-Time Low 0.520.06

Distance From ATL % +47.0%+0.0%

New ATHs Hit 5 times12 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.96%4.60%

Biggest Jump (1 Day) % +0.10+0.05

Biggest Drop (1 Day) % -0.12-0.07

Days Above Avg % 51.0%27.1%

Extreme Moves days 3 (6.0%)17 (5.0%)

Stability Score % 0.0%0.0%

Trend Strength % 44.0%49.4%

Recent Momentum (10-day) % +1.87%-11.20%

📊 Statistical Measures

Average Price 0.670.13

Median Price 0.680.10

Price Std Deviation 0.090.07

🚀 Returns & Growth

CAGR % +225.20%-72.26%

Annualized Return % +225.20%-72.26%

Total Return % +17.53%-69.93%

⚠️ Risk & Volatility

Daily Volatility % 6.42%5.64%

Annualized Volatility % 122.58%107.68%

Max Drawdown % -21.66%-82.50%

Sharpe Ratio 0.082-0.034

Sortino Ratio 0.103-0.032

Calmar Ratio 10.399-0.876

Ulcer Index 9.9865.61

📅 Daily Performance

Win Rate % 44.0%50.0%

Positive Days 22169

Negative Days 28169

Best Day % +17.79%+19.64%

Worst Day % -15.40%-19.03%

Avg Gain (Up Days) % +6.23%+4.15%

Avg Loss (Down Days) % -3.96%-4.54%

Profit Factor 1.240.92

🔥 Streaks & Patterns

Longest Win Streak days 27

Longest Loss Streak days 36

💹 Trading Metrics

Omega Ratio 1.2370.915

Expectancy % +0.53%-0.19%

Kelly Criterion % 2.13%0.00%

📅 Weekly Performance

Best Week % +7.15%+40.73%

Worst Week % -12.07%-27.29%

Weekly Win Rate % 44.4%44.2%

📆 Monthly Performance

Best Month % +12.29%+31.55%

Worst Month % -0.95%-32.06%

Monthly Win Rate % 33.3%38.5%

🔧 Technical Indicators

RSI (14-period) 51.7135.72

Price vs 50-Day MA % +14.42%-28.90%

Price vs 200-Day MA % N/A-32.24%

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).

ZIG (ZIG) vs CHR (CHR):	-0.831 (Strong negative)

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

ZIG: Kraken
CHR: Kraken