PYTH PYTH / ALGO Crypto vs FLOCK FLOCK / 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 / ALGOFLOCK / ALGO
📈 Performance Metrics
Start Price 1.042.40
End Price 0.520.90
Price Change % -50.26%-62.50%
Period High 1.192.40
Period Low 0.410.23
Price Range % 194.6%947.0%
🏆 All-Time Records
All-Time High 1.192.40
Days Since ATH 333 days318 days
Distance From ATH % -56.8%-62.5%
All-Time Low 0.410.23
Distance From ATL % +27.3%+292.6%
New ATHs Hit 4 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.80%7.42%
Biggest Jump (1 Day) % +0.44+0.75
Biggest Drop (1 Day) % -0.12-0.66
Days Above Avg % 52.9%45.1%
Extreme Moves days 6 (1.7%)13 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 54.8%56.3%
Recent Momentum (10-day) % -3.24%-3.01%
📊 Statistical Measures
Average Price 0.690.75
Median Price 0.700.67
Price Std Deviation 0.160.43
🚀 Returns & Growth
CAGR % -52.44%-67.56%
Annualized Return % -52.44%-67.56%
Total Return % -50.26%-62.50%
⚠️ Risk & Volatility
Daily Volatility % 6.37%11.57%
Annualized Volatility % 121.71%221.10%
Max Drawdown % -66.06%-90.45%
Sharpe Ratio -0.0080.025
Sortino Ratio -0.0140.034
Calmar Ratio -0.794-0.747
Ulcer Index 44.0271.01
📅 Daily Performance
Win Rate % 45.2%43.7%
Positive Days 155139
Negative Days 188179
Best Day % +94.89%+82.74%
Worst Day % -15.91%-35.00%
Avg Gain (Up Days) % +3.03%+8.46%
Avg Loss (Down Days) % -2.59%-6.06%
Profit Factor 0.961.08
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 108
💹 Trading Metrics
Omega Ratio 0.9651.084
Expectancy % -0.05%+0.29%
Kelly Criterion % 0.00%0.56%
📅 Weekly Performance
Best Week % +76.23%+220.63%
Worst Week % -17.04%-51.80%
Weekly Win Rate % 48.1%47.9%
📆 Monthly Performance
Best Month % +68.82%+70.92%
Worst Month % -21.88%-87.54%
Monthly Win Rate % 30.8%38.5%
🔧 Technical Indicators
RSI (14-period) 43.9926.42
Price vs 50-Day MA % -14.01%-19.46%
Price vs 200-Day MA % -13.26%-2.40%
💰 Volume Analysis
Avg Volume 8,350,629140,484,724
Total Volume 2,872,616,40944,814,627,096

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 FLOCK (FLOCK): -0.106 (Weak)

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
FLOCK: Bybit