PYTH PYTH / OG Crypto vs INTER INTER / OG Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / OGINTER / OG
📈 Performance Metrics
Start Price 0.080.26
End Price 0.010.02
Price Change % -92.32%-90.39%
Period High 0.090.30
Period Low 0.010.02
Price Range % 1,447.4%1,232.8%
🏆 All-Time Records
All-Time High 0.090.30
Days Since ATH 316 days166 days
Distance From ATH % -93.4%-91.6%
All-Time Low 0.010.02
Distance From ATL % +2.4%+11.4%
New ATHs Hit 8 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.07%3.35%
Biggest Jump (1 Day) % +0.01+0.05
Biggest Drop (1 Day) % -0.01-0.07
Days Above Avg % 35.5%56.1%
Extreme Moves days 10 (2.9%)21 (6.1%)
Stability Score % 0.0%0.0%
Trend Strength % 51.6%53.9%
Recent Momentum (10-day) % -18.85%-10.66%
📊 Statistical Measures
Average Price 0.040.17
Median Price 0.030.20
Price Std Deviation 0.030.09
🚀 Returns & Growth
CAGR % -93.49%-91.73%
Annualized Return % -93.49%-91.73%
Total Return % -92.32%-90.39%
⚠️ Risk & Volatility
Daily Volatility % 8.65%5.71%
Annualized Volatility % 165.35%109.18%
Max Drawdown % -93.54%-92.50%
Sharpe Ratio -0.049-0.090
Sortino Ratio -0.060-0.085
Calmar Ratio -0.999-0.992
Ulcer Index 64.8652.59
📅 Daily Performance
Win Rate % 48.4%46.1%
Positive Days 166158
Negative Days 177185
Best Day % +101.76%+31.30%
Worst Day % -22.36%-30.33%
Avg Gain (Up Days) % +4.77%+3.45%
Avg Loss (Down Days) % -5.30%-3.90%
Profit Factor 0.840.76
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 710
💹 Trading Metrics
Omega Ratio 0.8440.756
Expectancy % -0.43%-0.51%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +69.69%+27.70%
Worst Week % -50.33%-49.09%
Weekly Win Rate % 46.2%46.2%
📆 Monthly Performance
Best Month % +8.93%+9.40%
Worst Month % -38.69%-58.11%
Monthly Win Rate % 7.7%15.4%
🔧 Technical Indicators
RSI (14-period) 46.3443.79
Price vs 50-Day MA % -28.96%-11.27%
Price vs 200-Day MA % -70.08%-77.74%

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 INTER (INTER): 0.830 (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
INTER: Bybit