PYTH PYTH / NODE Crypto vs RIF RIF / 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 PYTH / NODERIF / USD
📈 Performance Metrics
Start Price 1.580.08
End Price 2.110.05
Price Change % +33.23%-43.87%
Period High 2.570.16
Period Low 0.990.03
Price Range % 158.5%394.8%
🏆 All-Time Records
All-Time High 2.570.16
Days Since ATH 7 days308 days
Distance From ATH % -18.0%-71.6%
All-Time Low 0.990.03
Distance From ATL % +111.9%+40.5%
New ATHs Hit 9 times15 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.36%3.45%
Biggest Jump (1 Day) % +1.04+0.01
Biggest Drop (1 Day) % -0.40-0.03
Days Above Avg % 52.7%26.5%
Extreme Moves days 1 (1.4%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 49.3%50.7%
Recent Momentum (10-day) % -4.77%-6.16%
📊 Statistical Measures
Average Price 1.850.07
Median Price 1.980.06
Price Std Deviation 0.460.03
🚀 Returns & Growth
CAGR % +319.83%-45.91%
Annualized Return % +319.83%-45.91%
Total Return % +33.23%-43.87%
⚠️ Risk & Volatility
Daily Volatility % 14.93%4.44%
Annualized Volatility % 285.27%84.91%
Max Drawdown % -37.13%-79.79%
Sharpe Ratio 0.082-0.015
Sortino Ratio 0.139-0.015
Calmar Ratio 8.615-0.575
Ulcer Index 14.8659.98
📅 Daily Performance
Win Rate % 49.3%47.9%
Positive Days 36160
Negative Days 37174
Best Day % +104.78%+15.59%
Worst Day % -21.11%-21.33%
Avg Gain (Up Days) % +9.49%+3.34%
Avg Loss (Down Days) % -6.82%-3.21%
Profit Factor 1.350.96
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 37
💹 Trading Metrics
Omega Ratio 1.3540.959
Expectancy % +1.22%-0.07%
Kelly Criterion % 1.89%0.00%
📅 Weekly Performance
Best Week % +44.93%+31.49%
Worst Week % -17.13%-25.92%
Weekly Win Rate % 61.5%52.8%
📆 Monthly Performance
Best Month % +41.52%+64.22%
Worst Month % -15.92%-32.87%
Monthly Win Rate % 60.0%46.2%
🔧 Technical Indicators
RSI (14-period) 50.2424.21
Price vs 50-Day MA % +1.33%-19.97%
Price vs 200-Day MA % N/A-13.70%
💰 Volume Analysis
Avg Volume 42,340,30216,705,846
Total Volume 3,133,182,3375,746,810,949

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 RIF (RIF): 0.225 (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
RIF: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures