PYTH PYTH / TREE Crypto vs STEP STEP / TREE 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 / TREESTEP / TREE

📈 Performance Metrics

Start Price 0.190.10

End Price 0.640.18

Price Change % +247.11%+70.64%

Period High 0.690.25

Period Low 0.190.10

Price Range % 274.8%143.2%

🏆 All-Time Records

All-Time High 0.690.25

Days Since ATH 8 days14 days

Distance From ATH % -7.4%-29.8%

All-Time Low 0.190.10

Distance From ATL % +247.1%+70.6%

New ATHs Hit 25 times12 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.84%6.52%

Biggest Jump (1 Day) % +0.21+0.04

Biggest Drop (1 Day) % -0.07-0.05

Days Above Avg % 61.4%48.9%

Extreme Moves days 2 (2.3%)6 (6.9%)

Stability Score % 0.0%0.0%

Trend Strength % 59.8%55.2%

Recent Momentum (10-day) % +4.42%-19.69%

📊 Statistical Measures

Average Price 0.480.19

Median Price 0.520.18

Price Std Deviation 0.140.03

🚀 Returns & Growth

CAGR % +18,413.06%+841.17%

Annualized Return % +18,413.06%+841.17%

Total Return % +247.11%+70.64%

⚠️ Risk & Volatility

Daily Volatility % 7.73%9.22%

Annualized Volatility % 147.69%176.20%

Max Drawdown % -26.43%-41.25%

Sharpe Ratio 0.2190.112

Sortino Ratio 0.3780.118

Calmar Ratio 696.75020.392

Ulcer Index 9.1519.56

📅 Daily Performance

Win Rate % 59.8%55.8%

Positive Days 5248

Negative Days 3538

Best Day % +56.29%+34.17%

Worst Day % -14.23%-21.81%

Avg Gain (Up Days) % +4.94%+6.98%

Avg Loss (Down Days) % -3.14%-6.45%

Profit Factor 2.341.37

🔥 Streaks & Patterns

Longest Win Streak days 65

Longest Loss Streak days 54

💹 Trading Metrics

Omega Ratio 2.3391.367

Expectancy % +1.69%+1.05%

Kelly Criterion % 10.90%2.32%

📅 Weekly Performance

Best Week % +43.16%+45.38%

Worst Week % -7.91%-26.24%

Weekly Win Rate % 78.6%50.0%

📆 Monthly Performance

Best Month % +144.64%+54.02%

Worst Month % -0.17%-29.83%

Monthly Win Rate % 80.0%60.0%

🔧 Technical Indicators

RSI (14-period) 51.2230.43

Price vs 50-Day MA % +11.27%-5.05%

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 STEP (STEP):	0.287 (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
STEP: Kraken