REQ REQ / ACM Crypto vs PYTH PYTH / ACM 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 REQ / ACMPYTH / ACM
📈 Performance Metrics
Start Price 0.070.24
End Price 0.200.12
Price Change % +179.21%-48.29%
Period High 0.220.27
Period Low 0.070.11
Price Range % 224.8%155.9%
🏆 All-Time Records
All-Time High 0.220.27
Days Since ATH 24 days338 days
Distance From ATH % -12.2%-54.3%
All-Time Low 0.070.11
Distance From ATL % +185.3%+17.1%
New ATHs Hit 32 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.98%3.50%
Biggest Jump (1 Day) % +0.05+0.12
Biggest Drop (1 Day) % -0.04-0.05
Days Above Avg % 54.4%48.0%
Extreme Moves days 19 (5.5%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%53.6%
Recent Momentum (10-day) % -4.00%-8.47%
📊 Statistical Measures
Average Price 0.140.17
Median Price 0.140.17
Price Std Deviation 0.040.04
🚀 Returns & Growth
CAGR % +198.22%-50.44%
Annualized Return % +198.22%-50.44%
Total Return % +179.21%-48.29%
⚠️ Risk & Volatility
Daily Volatility % 4.67%7.03%
Annualized Volatility % 89.17%134.36%
Max Drawdown % -30.25%-60.93%
Sharpe Ratio 0.0870.001
Sortino Ratio 0.0900.001
Calmar Ratio 6.553-0.828
Ulcer Index 13.1639.07
📅 Daily Performance
Win Rate % 54.5%46.4%
Positive Days 187159
Negative Days 156184
Best Day % +34.53%+96.26%
Worst Day % -24.70%-24.42%
Avg Gain (Up Days) % +3.17%+3.94%
Avg Loss (Down Days) % -2.90%-3.39%
Profit Factor 1.311.00
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 1.3091.003
Expectancy % +0.41%+0.01%
Kelly Criterion % 4.44%0.04%
📅 Weekly Performance
Best Week % +18.10%+70.10%
Worst Week % -20.93%-20.55%
Weekly Win Rate % 53.8%50.0%
📆 Monthly Performance
Best Month % +30.20%+58.98%
Worst Month % -13.18%-24.69%
Monthly Win Rate % 69.2%23.1%
🔧 Technical Indicators
RSI (14-period) 45.8031.50
Price vs 50-Day MA % +0.67%-20.20%
Price vs 200-Day MA % +17.33%-17.95%

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 PYTH (PYTH): -0.707 (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
PYTH: Kraken