PYTH PYTH / ALGO Crypto vs ANKR ANKR / 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 PYTH / ALGOANKR / USD

📈 Performance Metrics

Start Price 2.950.02

End Price 0.600.01

Price Change % -79.69%-63.51%

Period High 3.250.06

Period Low 0.410.01

Price Range % 702.3%573.0%

🏆 All-Time Records

All-Time High 3.250.06

Days Since ATH 341 days313 days

Distance From ATH % -81.6%-85.1%

All-Time Low 0.410.01

Distance From ATL % +47.7%+0.0%

New ATHs Hit 2 times19 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.80%3.74%

Biggest Jump (1 Day) % +0.44+0.01

Biggest Drop (1 Day) % -0.43-0.01

Days Above Avg % 25.0%32.0%

Extreme Moves days 8 (2.3%)17 (5.0%)

Stability Score % 0.0%0.0%

Trend Strength % 53.4%49.6%

Recent Momentum (10-day) % -6.81%-16.12%

📊 Statistical Measures

Average Price 0.830.02

Median Price 0.720.02

Price Std Deviation 0.460.01

🚀 Returns & Growth

CAGR % -81.67%-65.80%

Annualized Return % -81.67%-65.80%

Total Return % -79.69%-63.51%

⚠️ Risk & Volatility

Daily Volatility % 6.92%4.69%

Annualized Volatility % 132.12%89.69%

Max Drawdown % -87.54%-85.14%

Sharpe Ratio -0.039-0.038

Sortino Ratio -0.054-0.035

Calmar Ratio -0.933-0.773

Ulcer Index 75.9562.40

📅 Daily Performance

Win Rate % 46.6%50.1%

Positive Days 160171

Negative Days 183170

Best Day % +94.89%+16.53%

Worst Day % -26.08%-28.70%

Avg Gain (Up Days) % +3.23%+3.25%

Avg Loss (Down Days) % -3.33%-3.63%

Profit Factor 0.850.90

🔥 Streaks & Patterns

Longest Win Streak days 67

Longest Loss Streak days 107

💹 Trading Metrics

Omega Ratio 0.8480.900

Expectancy % -0.27%-0.18%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +76.23%+24.54%

Worst Week % -39.02%-23.33%

Weekly Win Rate % 50.0%48.1%

📆 Monthly Performance

Best Month % +68.82%+91.39%

Worst Month % -61.98%-24.41%

Monthly Win Rate % 30.8%30.8%

🔧 Technical Indicators

RSI (14-period) 25.8920.74

Price vs 50-Day MA % -14.40%-39.57%

Price vs 200-Day MA % -3.82%-47.39%

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 ANKR (ANKR):	0.469 (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
ANKR: Kraken