PYTH PYTH / ALGO Crypto vs ZIL ZIL / ALGO 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 / ALGOZIL / ALGO
📈 Performance Metrics
Start Price 3.170.11
End Price 0.580.04
Price Change % -81.66%-61.01%
Period High 3.170.12
Period Low 0.410.04
Price Range % 680.8%189.1%
🏆 All-Time Records
All-Time High 3.170.12
Days Since ATH 343 days339 days
Distance From ATH % -81.7%-62.4%
All-Time Low 0.410.04
Distance From ATL % +43.2%+8.6%
New ATHs Hit 0 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.79%2.35%
Biggest Jump (1 Day) % +0.44+0.01
Biggest Drop (1 Day) % -0.43-0.02
Days Above Avg % 27.6%50.3%
Extreme Moves days 8 (2.3%)20 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%49.0%
Recent Momentum (10-day) % -15.39%-10.91%
📊 Statistical Measures
Average Price 0.800.06
Median Price 0.720.06
Price Std Deviation 0.390.01
🚀 Returns & Growth
CAGR % -83.55%-63.29%
Annualized Return % -83.55%-63.29%
Total Return % -81.66%-61.01%
⚠️ Risk & Volatility
Daily Volatility % 6.91%3.45%
Annualized Volatility % 132.02%65.86%
Max Drawdown % -87.19%-65.41%
Sharpe Ratio -0.044-0.062
Sortino Ratio -0.060-0.053
Calmar Ratio -0.958-0.968
Ulcer Index 75.8652.09
📅 Daily Performance
Win Rate % 46.1%51.0%
Positive Days 158175
Negative Days 185168
Best Day % +94.89%+15.37%
Worst Day % -26.08%-23.43%
Avg Gain (Up Days) % +3.23%+1.93%
Avg Loss (Down Days) % -3.32%-2.45%
Profit Factor 0.830.82
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 107
💹 Trading Metrics
Omega Ratio 0.8320.823
Expectancy % -0.30%-0.21%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +76.23%+15.91%
Worst Week % -39.02%-38.91%
Weekly Win Rate % 48.1%53.8%
📆 Monthly Performance
Best Month % +68.82%+17.67%
Worst Month % -64.60%-47.41%
Monthly Win Rate % 30.8%46.2%
🔧 Technical Indicators
RSI (14-period) 30.3331.92
Price vs 50-Day MA % -15.96%-8.95%
Price vs 200-Day MA % -6.10%-17.31%
💰 Volume Analysis
Avg Volume 8,104,916162,019,577
Total Volume 2,788,091,22055,734,734,571

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 ZIL (ZIL): 0.879 (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
ZIL: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures