REQ REQ / PYTH Crypto vs MATH MATH / 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 REQ / PYTHMATH / USD

📈 Performance Metrics

Start Price 0.280.35

End Price 1.570.05

Price Change % +471.24%-86.51%

Period High 1.570.35

Period Low 0.270.05

Price Range % 477.5%657.4%

🏆 All-Time Records

All-Time High 1.570.35

Days Since ATH 1 days342 days

Distance From ATH % +0.0%-86.5%

All-Time Low 0.270.05

Distance From ATL % +477.5%+2.2%

New ATHs Hit 45 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.12%3.35%

Biggest Jump (1 Day) % +0.33+0.04

Biggest Drop (1 Day) % -0.62-0.03

Days Above Avg % 43.6%35.3%

Extreme Moves days 12 (3.5%)10 (2.9%)

Stability Score % 0.0%0.0%

Trend Strength % 52.2%55.6%

Recent Momentum (10-day) % +5.09%-6.72%

📊 Statistical Measures

Average Price 0.890.14

Median Price 0.820.11

Price Std Deviation 0.370.06

🚀 Returns & Growth

CAGR % +538.80%-88.21%

Annualized Return % +538.80%-88.21%

Total Return % +471.24%-86.51%

⚠️ Risk & Volatility

Daily Volatility % 6.17%4.79%

Annualized Volatility % 117.93%91.44%

Max Drawdown % -57.12%-86.80%

Sharpe Ratio 0.115-0.099

Sortino Ratio 0.121-0.105

Calmar Ratio 9.432-1.016

Ulcer Index 20.1763.64

📅 Daily Performance

Win Rate % 52.3%44.1%

Positive Days 179150

Negative Days 163190

Best Day % +41.35%+35.84%

Worst Day % -49.26%-25.52%

Avg Gain (Up Days) % +4.71%+3.28%

Avg Loss (Down Days) % -3.67%-3.44%

Profit Factor 1.410.75

🔥 Streaks & Patterns

Longest Win Streak days 69

Longest Loss Streak days 58

💹 Trading Metrics

Omega Ratio 1.4080.753

Expectancy % +0.71%-0.47%

Kelly Criterion % 4.13%0.00%

📅 Weekly Performance

Best Week % +28.84%+24.61%

Worst Week % -40.32%-19.41%

Weekly Win Rate % 53.8%38.5%

📆 Monthly Performance

Best Month % +55.66%+13.77%

Worst Month % -43.18%-27.04%

Monthly Win Rate % 76.9%30.8%

🔧 Technical Indicators

RSI (14-period) 67.3642.56

Price vs 50-Day MA % +24.44%-24.02%

Price vs 200-Day MA % +37.94%-51.77%

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).

REQ (REQ) vs MATH (MATH):	-0.825 (Strong 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

REQ: Kraken
MATH: Coinbase