PYTH PYTH / ALGO Crypto vs HFT HFT / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / ALGOHFT / ALGO

📈 Performance Metrics

Start Price 3.171.04

End Price 0.580.26

Price Change % -81.66%-74.60%

Period High 3.171.04

Period Low 0.410.25

Price Range % 680.8%318.6%

🏆 All-Time Records

All-Time High 3.171.04

Days Since ATH 343 days343 days

Distance From ATH % -81.7%-74.6%

All-Time Low 0.410.25

Distance From ATL % +43.2%+6.3%

New ATHs Hit 0 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.79%4.57%

Biggest Jump (1 Day) % +0.44+0.32

Biggest Drop (1 Day) % -0.43-0.19

Days Above Avg % 27.6%26.5%

Extreme Moves days 8 (2.3%)12 (3.5%)

Stability Score % 0.0%0.0%

Trend Strength % 53.9%57.1%

Recent Momentum (10-day) % -15.39%-21.70%

📊 Statistical Measures

Average Price 0.800.41

Median Price 0.720.36

Price Std Deviation 0.390.16

🚀 Returns & Growth

CAGR % -83.55%-76.74%

Annualized Return % -83.55%-76.74%

Total Return % -81.66%-74.60%

⚠️ Risk & Volatility

Daily Volatility % 6.91%7.46%

Annualized Volatility % 132.02%142.51%

Max Drawdown % -87.19%-76.11%

Sharpe Ratio -0.044-0.021

Sortino Ratio -0.060-0.029

Calmar Ratio -0.958-1.008

Ulcer Index 75.8662.19

📅 Daily Performance

Win Rate % 46.1%42.9%

Positive Days 158147

Negative Days 185196

Best Day % +94.89%+84.34%

Worst Day % -26.08%-25.00%

Avg Gain (Up Days) % +3.23%+4.75%

Avg Loss (Down Days) % -3.32%-3.84%

Profit Factor 0.830.93

🔥 Streaks & Patterns

Longest Win Streak days 67

Longest Loss Streak days 1013

💹 Trading Metrics

Omega Ratio 0.8320.928

Expectancy % -0.30%-0.16%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +76.23%+41.53%

Worst Week % -39.02%-42.10%

Weekly Win Rate % 48.1%38.5%

📆 Monthly Performance

Best Month % +68.82%+125.57%

Worst Month % -64.60%-64.02%

Monthly Win Rate % 30.8%46.2%

🔧 Technical Indicators

RSI (14-period) 30.3326.15

Price vs 50-Day MA % -15.96%-24.01%

Price vs 200-Day MA % -6.10%-21.93%

💰 Volume Analysis

Avg Volume 8,104,9161,923,791

Total Volume 2,788,091,220659,860,192

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 HFT (HFT):	0.847 (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
HFT: Kraken