MATH MATH / RESOLV Crypto vs PYTH PYTH / RESOLV 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 MATH / RESOLVPYTH / RESOLV
📈 Performance Metrics
Start Price 0.300.37
End Price 0.600.92
Price Change % +98.25%+147.30%
Period High 1.282.15
Period Low 0.290.36
Price Range % 343.0%498.1%
🏆 All-Time Records
All-Time High 1.282.15
Days Since ATH 37 days38 days
Distance From ATH % -53.5%-57.2%
All-Time Low 0.290.36
Distance From ATL % +106.1%+155.8%
New ATHs Hit 17 times24 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.19%6.16%
Biggest Jump (1 Day) % +0.42+0.74
Biggest Drop (1 Day) % -0.24-0.40
Days Above Avg % 48.1%38.9%
Extreme Moves days 8 (5.0%)7 (4.3%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%54.7%
Recent Momentum (10-day) % +23.29%+24.00%
📊 Statistical Measures
Average Price 0.630.89
Median Price 0.630.78
Price Std Deviation 0.160.36
🚀 Returns & Growth
CAGR % +371.85%+678.92%
Annualized Return % +371.85%+678.92%
Total Return % +98.25%+147.30%
⚠️ Risk & Volatility
Daily Volatility % 10.29%11.84%
Annualized Volatility % 196.50%226.24%
Max Drawdown % -77.42%-78.97%
Sharpe Ratio 0.0900.097
Sortino Ratio 0.1080.133
Calmar Ratio 4.8038.597
Ulcer Index 31.8632.99
📅 Daily Performance
Win Rate % 52.8%54.7%
Positive Days 8588
Negative Days 7673
Best Day % +53.54%+97.26%
Worst Day % -34.22%-32.59%
Avg Gain (Up Days) % +7.04%+6.89%
Avg Loss (Down Days) % -5.92%-5.77%
Profit Factor 1.331.44
🔥 Streaks & Patterns
Longest Win Streak days 69
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.3301.439
Expectancy % +0.92%+1.15%
Kelly Criterion % 2.22%2.89%
📅 Weekly Performance
Best Week % +81.56%+76.06%
Worst Week % -53.14%-53.16%
Weekly Win Rate % 72.0%84.0%
📆 Monthly Performance
Best Month % +104.82%+101.25%
Worst Month % -46.65%-53.67%
Monthly Win Rate % 71.4%85.7%
🔧 Technical Indicators
RSI (14-period) 55.1060.48
Price vs 50-Day MA % -7.94%-13.72%

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).

MATH (MATH) vs PYTH (PYTH): 0.837 (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

MATH: Coinbase
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures