PYTH PYTH / INIT 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.

Settings

🤖 AI Analysis

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / INITRSS3 / USD

📈 Performance Metrics

Start Price 0.210.10

End Price 0.800.03

Price Change % +282.89%-75.17%

Period High 0.800.21

Period Low 0.120.03

Price Range % 583.1%741.8%

🏆 All-Time Records

All-Time High 0.800.21

Days Since ATH 1 days312 days

Distance From ATH % -0.3%-88.1%

All-Time Low 0.120.03

Distance From ATL % +580.8%+0.5%

New ATHs Hit 17 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.98%5.05%

Biggest Jump (1 Day) % +0.31+0.05

Biggest Drop (1 Day) % -0.07-0.05

Days Above Avg % 35.5%30.4%

Extreme Moves days 6 (3.5%)12 (3.5%)

Stability Score % 0.0%0.0%

Trend Strength % 54.4%53.2%

Recent Momentum (10-day) % +23.58%-12.13%

📊 Statistical Measures

Average Price 0.300.07

Median Price 0.280.05

Price Std Deviation 0.140.04

🚀 Returns & Growth

CAGR % +1,656.24%-77.19%

Annualized Return % +1,656.24%-77.19%

Total Return % +282.89%-75.17%

⚠️ Risk & Volatility

Daily Volatility % 10.58%8.92%

Annualized Volatility % 202.09%170.34%

Max Drawdown % -52.62%-88.12%

Sharpe Ratio 0.117-0.008

Sortino Ratio 0.179-0.011

Calmar Ratio 31.476-0.876

Ulcer Index 21.9768.04

📅 Daily Performance

Win Rate % 54.4%46.6%

Positive Days 93160

Negative Days 78183

Best Day % +92.63%+97.50%

Worst Day % -28.32%-32.95%

Avg Gain (Up Days) % +6.09%+5.04%

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

Profit Factor 1.600.97

🔥 Streaks & Patterns

Longest Win Streak days 85

Longest Loss Streak days 814

💹 Trading Metrics

Omega Ratio 1.5970.970

Expectancy % +1.24%-0.07%

Kelly Criterion % 4.47%0.00%

📅 Weekly Performance

Best Week % +68.75%+61.91%

Worst Week % -22.29%-22.83%

Weekly Win Rate % 63.0%39.6%

📆 Monthly Performance

Best Month % +87.55%+64.92%

Worst Month % -25.32%-37.93%

Monthly Win Rate % 50.0%30.8%

🔧 Technical Indicators

RSI (14-period) 89.3423.10

Price vs 50-Day MA % +62.43%-35.06%

Price vs 200-Day MA % N/A-45.57%

💰 Volume Analysis

Avg Volume 6,182,1811,787,634

Total Volume 1,063,335,097616,733,581

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):	-0.657 (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