PYTH PYTH / BTRST Crypto vs SPK SPK / BTRST 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 / BTRSTSPK / BTRST

📈 Performance Metrics

Start Price 0.820.18

End Price 0.560.21

Price Change % -32.16%+17.54%

Period High 1.140.75

Period Low 0.310.13

Price Range % 273.1%460.8%

🏆 All-Time Records

All-Time High 1.140.75

Days Since ATH 77 days113 days

Distance From ATH % -51.2%-71.7%

All-Time Low 0.310.13

Distance From ATL % +82.1%+58.6%

New ATHs Hit 6 times4 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.66%7.07%

Biggest Jump (1 Day) % +0.56+0.37

Biggest Drop (1 Day) % -0.36-0.29

Days Above Avg % 39.8%56.5%

Extreme Moves days 7 (2.0%)6 (4.1%)

Stability Score % 0.0%0.0%

Trend Strength % 46.9%39.7%

Recent Momentum (10-day) % -15.00%-13.80%

📊 Statistical Measures

Average Price 0.650.29

Median Price 0.590.30

Price Std Deviation 0.180.10

🚀 Returns & Growth

CAGR % -33.83%+49.80%

Annualized Return % -33.83%+49.80%

Total Return % -32.16%+17.54%

⚠️ Risk & Volatility

Daily Volatility % 8.19%13.27%

Annualized Volatility % 156.48%253.44%

Max Drawdown % -69.96%-75.18%

Sharpe Ratio 0.0220.063

Sortino Ratio 0.0260.106

Calmar Ratio -0.4830.662

Ulcer Index 40.9351.22

📅 Daily Performance

Win Rate % 53.1%39.7%

Positive Days 18258

Negative Days 16188

Best Day % +98.35%+100.41%

Worst Day % -38.60%-38.32%

Avg Gain (Up Days) % +4.62%+9.53%

Avg Loss (Down Days) % -4.84%-4.90%

Profit Factor 1.081.28

🔥 Streaks & Patterns

Longest Win Streak days 65

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 1.0791.282

Expectancy % +0.18%+0.83%

Kelly Criterion % 0.80%1.78%

📅 Weekly Performance

Best Week % +83.28%+84.30%

Worst Week % -23.30%-25.09%

Weekly Win Rate % 53.8%34.8%

📆 Monthly Performance

Best Month % +81.86%+167.38%

Worst Month % -35.61%-30.28%

Monthly Win Rate % 38.5%28.6%

🔧 Technical Indicators

RSI (14-period) 27.8822.51

Price vs 50-Day MA % -28.77%-24.65%

Price vs 200-Day MA % -11.00%N/A

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 SPK (SPK):	0.180 (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
SPK: Kraken