PYTH PYTH / J Crypto vs RSS3 RSS3 / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / JRSS3 / USD

📈 Performance Metrics

Start Price 0.600.10

End Price 2.240.03

Price Change % +276.28%-75.17%

Period High 2.290.21

Period Low 0.550.03

Price Range % 316.6%741.8%

🏆 All-Time Records

All-Time High 2.290.21

Days Since ATH 2 days312 days

Distance From ATH % -2.3%-88.1%

All-Time Low 0.550.03

Distance From ATL % +307.3%+0.5%

New ATHs Hit 17 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.48%5.05%

Biggest Jump (1 Day) % +1.09+0.05

Biggest Drop (1 Day) % -0.34-0.05

Days Above Avg % 40.2%30.4%

Extreme Moves days 9 (3.4%)12 (3.5%)

Stability Score % 0.0%0.0%

Trend Strength % 54.0%53.2%

Recent Momentum (10-day) % +12.07%-12.13%

📊 Statistical Measures

Average Price 0.980.07

Median Price 0.830.05

Price Std Deviation 0.390.04

🚀 Returns & Growth

CAGR % +529.10%-77.19%

Annualized Return % +529.10%-77.19%

Total Return % +276.28%-75.17%

⚠️ Risk & Volatility

Daily Volatility % 9.54%8.92%

Annualized Volatility % 182.35%170.34%

Max Drawdown % -53.65%-88.12%

Sharpe Ratio 0.094-0.008

Sortino Ratio 0.121-0.011

Calmar Ratio 9.862-0.876

Ulcer Index 34.9368.04

📅 Daily Performance

Win Rate % 54.0%46.6%

Positive Days 142160

Negative Days 121183

Best Day % +96.33%+97.50%

Worst Day % -32.06%-32.95%

Avg Gain (Up Days) % +5.83%+5.04%

Avg Loss (Down Days) % -4.90%-4.55%

Profit Factor 1.400.97

🔥 Streaks & Patterns

Longest Win Streak days 145

Longest Loss Streak days 914

💹 Trading Metrics

Omega Ratio 1.3970.970

Expectancy % +0.90%-0.07%

Kelly Criterion % 3.13%0.00%

📅 Weekly Performance

Best Week % +78.53%+61.91%

Worst Week % -32.65%-22.83%

Weekly Win Rate % 52.5%39.6%

📆 Monthly Performance

Best Month % +77.00%+64.92%

Worst Month % -46.19%-37.93%

Monthly Win Rate % 63.6%30.8%

🔧 Technical Indicators

RSI (14-period) 78.8823.10

Price vs 50-Day MA % +38.97%-35.06%

Price vs 200-Day MA % +116.78%-45.57%

💰 Volume Analysis

Avg Volume 15,672,4371,787,634

Total Volume 4,137,523,404616,733,581

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 RSS3 (RSS3):	-0.376 (Moderate negative)

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
RSS3: Bybit