PYTH PYTH / ALGO Crypto vs AI AI / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / ALGOAI / USD
📈 Performance Metrics
Start Price 3.170.41
End Price 0.580.06
Price Change % -81.66%-84.81%
Period High 3.170.82
Period Low 0.410.06
Price Range % 680.8%1,317.9%
🏆 All-Time Records
All-Time High 3.170.82
Days Since ATH 343 days316 days
Distance From ATH % -81.7%-92.3%
All-Time Low 0.410.06
Distance From ATL % +43.2%+9.4%
New ATHs Hit 0 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.79%5.60%
Biggest Jump (1 Day) % +0.44+0.17
Biggest Drop (1 Day) % -0.43-0.16
Days Above Avg % 27.6%30.2%
Extreme Moves days 8 (2.3%)20 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%52.5%
Recent Momentum (10-day) % -15.39%-43.27%
📊 Statistical Measures
Average Price 0.800.27
Median Price 0.720.16
Price Std Deviation 0.390.21
🚀 Returns & Growth
CAGR % -83.55%-86.54%
Annualized Return % -83.55%-86.54%
Total Return % -81.66%-84.81%
⚠️ Risk & Volatility
Daily Volatility % 6.91%6.93%
Annualized Volatility % 132.02%132.45%
Max Drawdown % -87.19%-92.95%
Sharpe Ratio -0.044-0.043
Sortino Ratio -0.060-0.042
Calmar Ratio -0.958-0.931
Ulcer Index 75.8671.21
📅 Daily Performance
Win Rate % 46.1%47.2%
Positive Days 158161
Negative Days 185180
Best Day % +94.89%+28.73%
Worst Day % -26.08%-43.06%
Avg Gain (Up Days) % +3.23%+5.06%
Avg Loss (Down Days) % -3.32%-5.09%
Profit Factor 0.830.89
🔥 Streaks & Patterns
Longest Win Streak days 610
Longest Loss Streak days 105
💹 Trading Metrics
Omega Ratio 0.8320.889
Expectancy % -0.30%-0.30%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +76.23%+44.71%
Worst Week % -39.02%-36.26%
Weekly Win Rate % 48.1%48.1%
📆 Monthly Performance
Best Month % +68.82%+88.28%
Worst Month % -64.60%-34.97%
Monthly Win Rate % 30.8%38.5%
🔧 Technical Indicators
RSI (14-period) 30.3326.08
Price vs 50-Day MA % -15.96%-46.93%
Price vs 200-Day MA % -6.10%-53.47%
💰 Volume Analysis
Avg Volume 8,104,91623,115,052
Total Volume 2,788,091,2207,951,577,816

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 AI (AI): 0.532 (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
AI: Binance