INTR INTR / USD Crypto vs PYTH PYTH / 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 INTR / USDPYTH / USD
📈 Performance Metrics
Start Price 0.010.36
End Price 0.000.06
Price Change % -95.28%-83.12%
Period High 0.010.40
Period Low 0.000.05
Price Range % 2,110.1%633.0%
🏆 All-Time Records
All-Time High 0.010.40
Days Since ATH 308 days327 days
Distance From ATH % -95.5%-84.6%
All-Time Low 0.000.05
Distance From ATL % +0.0%+12.5%
New ATHs Hit 1 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.26%4.50%
Biggest Jump (1 Day) % +0.00+0.11
Biggest Drop (1 Day) % 0.00-0.05
Days Above Avg % 33.0%34.3%
Extreme Moves days 15 (4.8%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 44.4%52.8%
Recent Momentum (10-day) % -31.46%-13.94%
📊 Statistical Measures
Average Price 0.000.16
Median Price 0.000.14
Price Std Deviation 0.000.08
🚀 Returns & Growth
CAGR % -97.22%-84.94%
Annualized Return % -97.22%-84.94%
Total Return % -95.28%-83.12%
⚠️ Risk & Volatility
Daily Volatility % 8.52%7.91%
Annualized Volatility % 162.74%151.08%
Max Drawdown % -95.48%-86.36%
Sharpe Ratio -0.070-0.032
Sortino Ratio -0.063-0.042
Calmar Ratio -1.018-0.984
Ulcer Index 70.4662.78
📅 Daily Performance
Win Rate % 47.3%47.2%
Positive Days 124162
Negative Days 138181
Best Day % +39.96%+99.34%
Worst Day % -47.53%-32.57%
Avg Gain (Up Days) % +6.37%+4.60%
Avg Loss (Down Days) % -7.08%-4.60%
Profit Factor 0.810.89
🔥 Streaks & Patterns
Longest Win Streak days 47
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 0.8090.894
Expectancy % -0.71%-0.26%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +33.84%+65.86%
Worst Week % -24.49%-23.21%
Weekly Win Rate % 33.3%48.1%
📆 Monthly Performance
Best Month % +33.10%+65.32%
Worst Month % -44.69%-32.91%
Monthly Win Rate % 16.7%30.8%
🔧 Technical Indicators
RSI (14-period) 0.0041.84
Price vs 50-Day MA % -60.45%-22.20%
Price vs 200-Day MA % -77.53%-48.62%

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).

INTR (INTR) vs PYTH (PYTH): 0.923 (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

INTR: Kraken
PYTH: Kraken