ONE ONE / PYTH Crypto vs MATH MATH / PYTH 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 ONE / PYTHMATH / PYTH
📈 Performance Metrics
Start Price 0.030.74
End Price 0.050.62
Price Change % +70.90%-15.13%
Period High 0.121.16
Period Low 0.030.45
Price Range % 267.4%154.7%
🏆 All-Time Records
All-Time High 0.121.16
Days Since ATH 147 days138 days
Distance From ATH % -53.2%-46.0%
All-Time Low 0.030.45
Distance From ATL % +72.1%+37.6%
New ATHs Hit 20 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.60%3.94%
Biggest Jump (1 Day) % +0.01+0.25
Biggest Drop (1 Day) % -0.04-0.44
Days Above Avg % 49.7%56.9%
Extreme Moves days 17 (5.0%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 53.4%52.3%
Recent Momentum (10-day) % -12.00%+5.13%
📊 Statistical Measures
Average Price 0.080.80
Median Price 0.080.84
Price Std Deviation 0.020.14
🚀 Returns & Growth
CAGR % +76.87%-16.07%
Annualized Return % +76.87%-16.07%
Total Return % +70.90%-15.13%
⚠️ Risk & Volatility
Daily Volatility % 4.80%5.97%
Annualized Volatility % 91.65%114.13%
Max Drawdown % -59.03%-60.74%
Sharpe Ratio 0.0600.024
Sortino Ratio 0.0560.025
Calmar Ratio 1.302-0.265
Ulcer Index 22.4924.66
📅 Daily Performance
Win Rate % 53.4%47.7%
Positive Days 183163
Negative Days 160179
Best Day % +21.37%+33.74%
Worst Day % -48.34%-49.05%
Avg Gain (Up Days) % +2.84%+4.31%
Avg Loss (Down Days) % -2.64%-3.64%
Profit Factor 1.231.08
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 1.2331.076
Expectancy % +0.29%+0.15%
Kelly Criterion % 3.83%0.93%
📅 Weekly Performance
Best Week % +44.33%+21.90%
Worst Week % -39.36%-39.06%
Weekly Win Rate % 44.2%38.5%
📆 Monthly Performance
Best Month % +80.53%+21.77%
Worst Month % -37.47%-37.88%
Monthly Win Rate % 61.5%46.2%
🔧 Technical Indicators
RSI (14-period) 22.0167.48
Price vs 50-Day MA % -11.16%+7.15%
Price vs 200-Day MA % -36.14%-23.87%
💰 Volume Analysis
Avg Volume 159,770,41814,254,593
Total Volume 54,961,023,6794,889,325,420

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).

ONE (ONE) vs MATH (MATH): 0.726 (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

ONE: Bybit
MATH: Coinbase
ByBit Futures Trading Trade hundreds of crypto perpetual futures