PYTH PYTH / FORTH Crypto vs ZIG ZIG / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / FORTHZIG / USD
📈 Performance Metrics
Start Price 0.140.10
End Price 0.050.08
Price Change % -64.74%-20.33%
Period High 0.140.13
Period Low 0.040.07
Price Range % 274.2%74.0%
🏆 All-Time Records
All-Time High 0.140.13
Days Since ATH 341 days19 days
Distance From ATH % -65.0%-38.4%
All-Time Low 0.040.07
Distance From ATL % +31.0%+7.1%
New ATHs Hit 1 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.10%3.72%
Biggest Jump (1 Day) % +0.04+0.02
Biggest Drop (1 Day) % -0.02-0.03
Days Above Avg % 38.1%55.1%
Extreme Moves days 9 (2.6%)4 (8.3%)
Stability Score % 0.0%0.0%
Trend Strength % 54.8%56.3%
Recent Momentum (10-day) % -14.65%-26.16%
📊 Statistical Measures
Average Price 0.060.09
Median Price 0.060.10
Price Std Deviation 0.020.01
🚀 Returns & Growth
CAGR % -67.02%-82.24%
Annualized Return % -67.02%-82.24%
Total Return % -64.74%-20.33%
⚠️ Risk & Volatility
Daily Volatility % 8.06%5.99%
Annualized Volatility % 153.97%114.49%
Max Drawdown % -73.28%-42.52%
Sharpe Ratio -0.003-0.048
Sortino Ratio -0.004-0.049
Calmar Ratio -0.915-1.934
Ulcer Index 57.9920.58
📅 Daily Performance
Win Rate % 45.0%42.6%
Positive Days 15420
Negative Days 18827
Best Day % +101.56%+14.93%
Worst Day % -35.54%-24.63%
Avg Gain (Up Days) % +4.62%+4.10%
Avg Loss (Down Days) % -3.83%-3.55%
Profit Factor 0.990.86
🔥 Streaks & Patterns
Longest Win Streak days 54
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 0.9870.856
Expectancy % -0.03%-0.29%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +67.10%+16.63%
Worst Week % -33.96%-5.99%
Weekly Win Rate % 46.2%44.4%
📆 Monthly Performance
Best Month % +45.57%+11.76%
Worst Month % -42.52%-8.54%
Monthly Win Rate % 23.1%66.7%
🔧 Technical Indicators
RSI (14-period) 34.9129.71
Price vs 50-Day MA % -14.86%N/A
Price vs 200-Day MA % -4.95%N/A

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 ZIG (ZIG): 0.695 (Moderate 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
ZIG: Kraken
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